Marketplace Scraping in 2025: Official APIs vs Scraping — Ranking 9 Tools

Introduction: Why the API vs Scraping Debate Never Ends

Marketplace scraping stopped being a niche developer task a long time ago. Today, data from Wildberries, Ozon, Yandex Market, Amazon, and AliExpress is needed by almost everyone: sellers monitoring competitor prices, marketers evaluating demand, arbitrage traders hunting for high-margin products, analysts tracking inventory and ranking dynamics. Every platform plays by its own rules, and data volumes are measured in millions of listings. The question "how to collect data" becomes "how to collect it reliably, cheaply, and without violations."

There are two fundamentally different approaches. The first is official marketplace APIs: documented interfaces that the platform itself provides to sellers and partners. The second is scraping: collecting data from public pages or internal endpoints using specialized services and parsers. Each approach has its strengths and weaknesses, and in this article, we won't be rehashing instructions for a specific platform. The goal is different — to compare the approaches themselves and the tools that implement them.

This material will be useful for marketers, arbitrage traders, developers, and business owners who already work with mobile proxies or plan to build their own data collection system. We've reviewed nine tools: two official APIs from Russia's largest marketplaces and seven scraping platforms of varying complexity — from cloud APIs with built-in infrastructure to desktop parsers where you plug in your own proxies.

When compiling the ranking, we evaluated features, cost, proxy support and limits, ease of use, tech support quality, and user reviews. A quick note on the winners: first place went to Apify for its balance of flexibility, price, and ready-made solutions for Wildberries and Ozon. Second place — Oxylabs with the most mature structured data parser for e-commerce. Third — Bright Data, the leader in enterprise capabilities but with a hefty price tag. Official APIs ranked lower in the overall standings not because they're bad, but because they solve a narrower problem. Information is current as of Q1 2025.

Ranking Methodology

To keep the ranking fair, we locked in criteria and their weights in advance. Each service's score is made up of six parameters, and the final score is a weighted sum. This approach prevents a single standout advantage from pulling a weak product to the top.

• Features — 25%. What exactly the tool can do for marketplace scraping: which platforms it covers, whether it returns structured data, whether it supports JavaScript rendering, whether it has a scheduler, webhooks, and export to the formats you need.
• Proxy support and limits — 20%. For the mobileproxy.space audience, this is the key section. We looked at whether proxies are built into the service, whether you can connect your own mobile or residential IPs, and what restrictions apply to request counts, concurrency, and data volume.
• Price — 15%. Not just the plan cost, but the price-to-useful-data ratio. Where possible, we normalized everything to a cost per 1,000 product listings.
• Ease of use — 15%. Learning curve, documentation quality, ready-made templates, SDKs, and no-code interface.
• Tech support quality — 10%. Communication channels, response speed, availability of support in your language or a community, and knowledge base completeness.
• User reviews — 15%. Aggregated opinions from industry platforms, themed chats, and developer forums for 2024–2025.

Information was gathered from open service documentation, public price lists, changelog pages, and the practical experience of teams using these tools to collect data from Wildberries, Ozon, and international platforms. Prices are listed in the currency shown on the service websites: for international platforms, that's US dollars; for official APIs, rubles or free access.

What we didn't factor in. We didn't rate tools by performance in a specific infrastructure because that depends heavily on your servers, proxies, and code. We didn't examine ways to violate platform user agreements and don't offer recommendations for actions that may conflict with the laws of the Russian Federation. Collecting personal data of buyers and sellers is also outside the scope of this article: we're only talking about public commercial information — prices, inventory, product specs, aggregated reviews, and search rankings. This ranking is not an advertisement, and no services from the client are among the participants.

Selection and Comparison Criteria for Marketplace Scraping Tools

Features

By features, we mean not the number of buttons but the tool's ability to solve real marketplace scraping tasks. The most important question: does the service return structured data (JSON with fields like "price," "rating," "stock") or just raw HTML that still needs parsing? The second question is platform coverage: a tool with a ready-made parser for Amazon may have nothing for Wildberries. The third is auxiliary capabilities: task scheduler, notifications, history storage, integration with Google Sheets, databases, and BI systems. The threshold for making the top list: a tool must be able to collect data from at least three major marketplaces or provide official access to data from one of the two largest Russian platforms.

Proxy Support and Limits

Everything here falls into three groups. The first — services with fully built-in infrastructure where you pay for results and don't think about IP addresses, but also can't use your own proxies. The second — hybrid platforms that offer a built-in pool but let you connect your own proxies, including mobile ones. The third — desktop and self-hosted solutions where you provide the proxies yourself. For mobileproxy.space readers, the second and third groups are especially interesting: rotating mobile proxies earn high trust from anti-bot systems, and the tool must be able to work with them correctly — support login/password authentication, IP changes via URL, and session binding to a specific IP. We evaluated limits based on documentation: requests per minute, concurrent threads, traffic volume, or monthly results.

Price

We normalized costs to a clear metric. For cloud scraping APIs, that's the price per 1,000 successful requests or results. For desktop parsers — license cost plus proxy expenses. For official APIs — zero rubles, but with the caveat that they're only free for those with a seller account and don't provide competitor data. Threshold: at least a free trial or free tier so you can test the tool before paying.

Ease of Use

The learning curve was measured by the time required to get your first 1,000 product listings. For no-code tools, that might be minutes; for APIs with a good SDK, an hour; for official marketplace APIs, from several hours to days including getting tokens and studying documentation. We also factored in documentation quality, examples in popular languages, and the convenience of the dashboard.

Tech Support Quality

We evaluated communication channels, response time to typical inquiries, availability of support in Russian, and community activity. For official APIs, we considered the seller support team's responsiveness, which often becomes the only way to find out why a method returned an error.

User Reviews

We aggregated opinions from professional communities, reviews on developer platforms, and themed seller chats. We looked not at star ratings but at recurring complaints and praise: stability, billing honesty, data quality, and behavior when marketplace markup changes.

#1. Apify — The Best Balance of Flexibility, Price, and Ready-Made Solutions

General Information

Apify is a cloud platform for web scraping and automation founded in 2015 in Prague. The core idea is a marketplace of ready-made "actors": small cloud programs, each collecting data from a specific site. For marketplace scraping, this is especially valuable: the catalog has actors for Wildberries, Ozon, Amazon, AliExpress, eBay, Walmart, and Yandex Market, many written by third-party developers and updated independently. The target audience is broad — from marketers with no coding skills to teams writing their own actors in JavaScript or Python.

Key Features

• A library of several thousand actors, including specialized parsers for product listings, reviews, prices, and inventory for Russian and international marketplaces.
• Its own Crawlee SDK for Node.js and Python with built-in queue management, retries, and proxy rotation.
• Task scheduler, webhooks, dataset storage with export to JSON, CSV, Excel, XML, and direct upload to Google Sheets.
• Integrations with Zapier, Make, Airbyte, Slack, plus a REST API for embedding into your own systems.
• Built-in datacenter proxies, residential proxies by gigabyte, and the ability to connect your own proxies via URL with authentication.

A unique feature is the "pay per result" model for many actors: you pay a fixed amount per 1,000 collected listings and don't spend resources on setup. Any actor can also be forked and customized.

Plans and Pricing

• Free — $5 in platform credits per month, datacenter proxies included, suitable for tests and small tasks.
• Starter — $49 per month, $49 in credits, up to 32 concurrent runs, residential proxies around $8 per GB.
• Scale — $199 per month, more memory for actors and reduced residential traffic costs.
• Business — $999 per month, priority support, dedicated manager.

Marketplace actor costs range from $1 to $3 per 1,000 results depending on platform complexity. In equivalent terms, this is one of the best offers on the market: 100,000 Wildberries listings will cost roughly $150–250 including platform expenses.

Pros

• Ready-made actors for Wildberries and Ozon — a rarity among international platforms; most competitors focus only on Amazon.
• Ability to connect your own mobile proxies, which is critical when built-in pools start producing a high error rate.
• Transparent pay-per-result model: you don't pay for failed requests.
• Open-source Crawlee SDK — you can leave the platform and run the same scripts on your own servers.
• Free tier without a card and an active developer community that quickly fixes actors when platform markup changes.

Cons

• Quality of third-party actors is uneven: some are updated weekly, others are abandoned and return errors.
• Platform resource billing (compute units, storage) is opaque for beginners and takes time to understand.
• Support on basic plans responds slowly; only Scale and higher tiers get priority.
• The interface is entirely in English.

Who It's For

The ideal user is a marketer or analyst on a small team who needs to regularly pull prices and inventory for several thousand competitor SKUs, as well as a developer who wants to quickly launch marketplace scraping without deploying infrastructure. For mid-sized businesses, Apify covers 80% of monitoring tasks; for large ones, it can be a first step before moving to a custom solution.

Key advantage: the only international platform with working ready-made parsers for Russian marketplaces and the ability to connect your own proxies.

✅ Best choice for: small and mid-sized businesses, analysts, and developers who need a quick start with room to grow.

⭐ Overall score: 8.5/10

• Features: 9/10
• Price: 8/10
• Proxy support and limits: 9/10
• Ease of use: 8/10
• Tech support: 7/10
• User reviews: 9/10

#2. Oxylabs Web Scraper API — The Gold Standard for Structured E-Commerce Data

General Information

Oxylabs is a Lithuanian company founded in 2015 and one of the largest providers of proxies and data collection infrastructure. The Web Scraper API product (previously sold separately as E-Commerce Scraper API) combines IP rotation, page rendering, and parsing into structured JSON. It's aimed at enterprise clients, analytics agencies, and teams collecting data from international marketplaces at industrial scale.

Key Features

• Ready-made parsers for Amazon, Walmart, eBay, Google Shopping, Best Buy, Etsy, Target, and AliExpress with ready-to-use JSON output: price, rating, seller, shipping, variations.
• A universal mode for any website with the ability to define your own data extraction rules via Custom Parser without writing parsing code.
• Automatic JavaScript rendering, geo-targeting down to the city level, language and currency selection for localized results.
• Asynchronous mode: submit a batch of tasks, retrieve results via webhook or cloud storage.
• Built-in AI assistant OxyCopilot that generates parsing rules from a description of the fields you need.

Technically, the service accepts requests via REST, supports integration as a proxy endpoint, and works with any programming language. There are detailed SDKs for Python and Node.js.

Plans and Pricing

• Free trial — 5,000 results for a week, no card required.
• Micro — $49 per month, about 17,500 results, so roughly $2.80 per 1,000.
• Starter — $99 per month, about 38,000 results.
• Advanced — $249 per month, about 103,000 results.
• Enterprise plans from $999 with costs dropping to $1.35 per 1,000 results and custom limits.

The price-to-quality ratio for international platforms is excellent; for Russian ones, it's average, since there's no structured parser for Wildberries and Ozon, and you pay for the universal mode with self-configured rules.

Pros

• The highest quality of structured data for Amazon and other Western marketplaces: fields are standardized and rarely break.
• Stable success rate — based on team experience, above 98% on Amazon without additional setup.
• 24/7 support with fast responses and a dedicated manager on mid and higher tiers.
• Geo-targeting lets you collect local prices and availability — important for regional arbitrage.
• Clear billing: failed requests aren't charged.

Cons

• You can't connect your own proxies: the entire infrastructure is closed, and you're fully dependent on Oxylabs' pool.
• High cost on lower-tier plans — nearly twice as expensive as the nearest competitors per 1,000 results.
• No ready-made parsers for Wildberries, Ozon, and Yandex Market — these need a Custom Parser.
• Strict KYC verification when registering a business account can take several days.

Who It's For

Oxylabs suits companies selling on Amazon, eBay, or AliExpress that need daily monitoring of thousands of ASINs with guaranteed data quality. It's a choice for mid-sized and large businesses, analytics agencies, and teams that don't want to maintain their own proxy fleet. For sellers working only on Russian platforms, the tool is overkill.

Key advantage: best-in-class accuracy of structured data for international marketplaces.

✅ Best choice for: companies selling on international platforms with a budget from $250 per month.

⭐ Overall score: 8.3/10

• Features: 9/10
• Price: 6/10
• Proxy support and limits: 9/10
• Ease of use: 8/10
• Tech support: 9/10
• User reviews: 8/10

#3. Bright Data — Maximum Capabilities for Enterprise Scraping

General Information

Bright Data (known as Luminati until 2021) is an Israeli company founded in 2014 and the largest player in the proxy and data market. Beyond its network of tens of millions of residential and mobile IPs, the company offers a Web Scraper API with ready-made collectors for marketplaces, a Web Scraper IDE builder, and ready-made datasets — pre-collected and cleaned arrays of product listings. The target audience is corporations, financial analysts, and large e-commerce players.

Key Features

• Over 100 ready-made collectors for Amazon, Walmart, eBay, AliExpress, Zalando, Etsy, Shopee, and other platforms with JSON and CSV output.
• Ready-made datasets: for example, an Amazon product catalog by category updated on schedule, with the option to buy a snapshot without running scraping.
• Scraping Browser — a remote browser with automatic anti-bot protection management for complex dynamic pages.
• Web Unlocker — an endpoint that returns the HTML of any page with automatic selection of IP type and headers.
• A full range of proxy products, including mobile, with geo-targeting by country, city, carrier, and ASN.

Integrations cover virtually everything: Snowflake, BigQuery, S3, Azure, webhooks, SDKs for major languages.

Plans and Pricing

• Web Scraper API — pay-as-you-go around $1.50 per 1,000 records without a subscription; the Growth plan at $499 per month lowers the price to about $1.27, Business at $999 to $1.12, Premium at $1,999 even lower.
• Datasets — from $250 per snapshot depending on volume and platform; subscription to updates is negotiated individually.
• Residential proxies — from $5 to $8.40 per GB; mobile ones are pricier, around $8 per GB and up without commitments.
• Free trial — available for business accounts after verification, usually with a limited amount of credits.

The price per 1,000 records at large volumes is competitive, but the entry barrier is high: minimum commitments and verification make the service inconvenient for a freelancer or small shop.

Pros

• The widest range of tools: from raw mobile proxies to ready-made datasets — you can choose any level of abstraction.
• Ready-made datasets save weeks: if you need a one-time snapshot of an Amazon category, you won't have to scrape it yourself.
• Highest fault tolerance and SLA on enterprise plans.
• Legal control over IP sources and public ethical use policies — important for companies with compliance requirements.
• Flexible scalability: millions of requests per day without limit warnings.

Cons

• Complex and confusing interface: dozens of products with overlapping functions make it easy for a beginner to get lost.
• High entry cost and strict KYC verification; some applications from certain regions are rejected.
• No ready-made collectors for Wildberries and Ozon — only universal tools.
• Traffic-based proxy billing can be an unpleasant surprise on heavy pages with images.

Who It's For

Bright Data is a tool for large businesses and analytics companies collecting data from international marketplaces at scales of millions of listings and willing to pay from $500 per month. Typical scenarios: price monitoring across a competitor's entire catalog, building market indices, training models on product data. For Russian sellers, the service is overkill and expensive.

Key advantage: ready-made datasets and a full stack of tools for any scraping scenario.

✅ Best choice for: corporations and agencies with a budget from $500 and SLA requirements.

⭐ Overall score: 8.2/10

• Features: 10/10
• Price: 5/10
• Proxy support and limits: 10/10
• Ease of use: 6/10
• Tech support: 8/10
• User reviews: 8/10

#4. ScraperAPI — The Best Price-to-Simplicity Ratio

General Information

ScraperAPI is an American service launched in 2018. The idea is as simple as it gets: you send a URL to a single endpoint, the service handles IP selection, headers, renders JavaScript if needed, and returns HTML or structured data. Over the years, the product grew from a "proxy with auto-retry" into a platform with structured data endpoints for Amazon, Walmart, eBay, and Google Shopping. The target audience is developers and small teams.

Key Features

• A single API endpoint with automatic IP rotation, retries for failed requests, and header management.
• Structured endpoints for Amazon (product, search, reviews, offers), Walmart, eBay, and Google Shopping — returning ready-made JSON.
• Async Scraper — asynchronous collection of large URL batches with results delivered via webhook.
• DataPipeline — a no-code scheduler: upload a list of ASINs or links, set a schedule, and receive files by email or in the cloud.
• Geo-targeting by country, JS rendering, and premium residential and mobile IP pools for extra credits.

Plans and Pricing

• Free — 5,000 credits for the first 7 days, then 1,000 credits per month free.
• Hobby — $49 per month, 100,000 credits, 20 concurrent threads.
• Startup — $149 per month, 1,000,000 credits, 50 threads.
• Business — $299 per month, 3,000,000 credits, 100 threads, geo-targeting for all countries.
• Enterprise — custom, from 10 million credits.

It's important to understand the credit system: a simple request costs 1 credit, e-commerce domains like Amazon cost 5 credits, and JS rendering plus premium proxies multiply the cost to 10–25 credits. That means on Startup at $149 you'll get about 200,000 Amazon listings — roughly $0.75 per 1,000, noticeably cheaper than Oxylabs and Bright Data.

Pros

• The lowest cost per 1,000 listings among cloud APIs in this ranking at medium volume.
• Learning curve measured in minutes: one line of code in any language, documentation with examples.
• You only pay for successful requests, statuses 200 and 404.
• DataPipeline lets a marketer set up regular Amazon monitoring without code.
• Generous free tier for testing and micro-tasks.

Cons

• No structured parsers for Wildberries, Ozon, and Yandex Market — they'll only return HTML or the platform's internal JSON, which you'll have to parse yourself.
• You can't use your own proxies.
• On complex pages with heavy anti-bot protection, the credit cost of a request grows 10–25 times, and the savings vanish.
• Support via email and chat only, no phone; responses can take up to a day on lower tiers.

Who It's For

ScraperAPI is a rational choice for a developer or small team writing their own marketplace parser and wanting to offload IP address and retry management. It works well for arbitrage traders tracking prices on Amazon and eBay and for startups on a tight budget. For large businesses with SLA requirements, look at the higher-ranked options.

Key advantage: minimal cost per successful request with the simplest integration.

✅ Best choice for: developers and startups with a budget under $150 per month.

⭐ Overall score: 8.0/10

• Features: 7/10
• Price: 9/10
• Proxy support and limits: 8/10
• Ease of use: 9/10
• Tech support: 7/10
• User reviews: 8/10

#5. Zyte API — Smart Pricing by Site Complexity

General Information

Zyte (formerly Scrapinghub) is an Irish company founded in 2010 by the developers of the Scrapy framework, the most popular open-source scraping tool for Python. Zyte API is their flagship cloud product, combining proxies, rendering, and automatic data extraction. It's aimed at developers familiar with Python, but supports any stack via REST.

Key Features

• Automatic product data extraction: the service identifies price, name, availability, brand, and images on any store page without manual rules — it works on Russian platforms too.
• Dynamic site complexity assessment: the service automatically selects the right level of effort (regular request, rendering, special IPs), and you pay by the actual level used.
• Seamless integration with Scrapy via an official plugin, Scrapy Cloud for running spiders on schedule.
• Support for sessions, screenshots, and browser actions (clicks, scrolling) via a declarative API.
• Data export to S3, GCS, FTP, webhooks, access via Zyte Data API.

Plans and Pricing

• Free trial — $5 in credits for 30 days, no card required.
• Pay-as-you-go — cost depends on the site's "tier": from $0.13 per 1,000 simple requests to several dollars per 1,000 requests on complex platforms with rendering; automatic product extraction adds a markup.
• Subscriptions — $100, $350, and $1,000 per month with progressive discounts up to 40% compared to pay-as-you-go.
• Scrapy Cloud — a free unit with runtime limits, paid units from $9 per month.

The model is transparent: a calculator in the dashboard shows an estimated cost for a specific domain before you run it. For large marketplaces with strong protection, the price is comparable to Oxylabs; for simple sites, it's the lowest in the ranking.

Pros

• Automatic product field extraction works without setup on Wildberries, Ozon, and other platforms where competitors have no ready-made parsers.
• Fair complexity-based pricing: you don't overpay for simple pages.
• The best integration with the Scrapy ecosystem — if your parser is already written in it, migration takes hours.
• Zyte's legal team publishes ethical data collection guidelines, which helps with compliance.
• Fast, developer-oriented tech support that digs into specific requests.

Cons

• You can't connect your own proxies; the entire infrastructure is closed.
• Auto-extraction sometimes confuses fields on non-standard listings (e.g., discounted price vs. full price) — validation is needed.
• Higher learning curve than ScraperAPI: numerous request parameters and tiers require study.
• Interface and documentation are in English only.

Who It's For

Zyte API is best suited for Python developers and teams collecting data from a large number of different stores and marketplaces, including Russian ones, who don't want to write a separate parser for each. It works well for mid-sized businesses with variable workloads thanks to pay-as-you-go pricing. For marketers without code, the tool is somewhat complex.

Key advantage: automatic product field extraction from any site plus payment by actual complexity.

✅ Best choice for: Python teams with diverse sources and variable workloads.

⭐ Overall score: 7.9/10

• Features: 8/10
• Price: 7/10
• Proxy support and limits: 9/10
• Ease of use: 7/10
• Tech support: 8/10
• User reviews: 8/10

#6. Ozon Seller API — The Best Official API Among Russian Marketplaces

General Information

Ozon Seller API is the official programmatic interface for sellers on Ozon, Russia's second-largest marketplace. It has been developed since 2019 and is considered the most mature of the domestic platform APIs today. There's also a separate Ozon Performance API for advertising campaigns. The target audience is sellers, integration developers, and analytics and accounting services working with their own store data.

Key Features

• Product methods: creating and updating listings, retrieving attributes, prices, inventory, and moderation statuses.
• Orders and logistics: FBO and FBS shipments, labels, statuses, returns.
• Financial reports: transactions, accruals, commissions, settlements for a period.
• Analytics: sales metrics, views, conversion for your products, warehouse inventory report.
• A sandbox for testing integrations without risk to a live account, webhook notifications for new orders and changes.

Technically, it's a REST API with Client-Id and Api-Key authentication, documentation with request and response schemas, and Postman collections. It's integrated with virtually all accounting and analytics services on the Russian market.

Plans and Pricing

• API usage is free for all Ozon sellers.
• The cost is the marketplace commissions and seller account; there's no separate charge per request.
• Limits depend on the method: for most product methods, up to several hundred requests per minute; for heavy reports, a few requests per minute; there are limits on the number of products per request (usually up to 1,000).

The price-to-quality ratio is maximal if your task fits within your own data. But remember: for zero rubles, you only get information about your own store.

Pros

• A fully legal and stable way to get data about your products, orders, and finances without the risk of violating platform rules.
• No need for proxies, anti-bot handling, or constant fixes when markup changes — the API contract changes predictably, with announcements.
• The most detailed and up-to-date documentation among Russian marketplaces, with a sandbox for testing.
• Webhooks save requests: you don't need to poll the server every few minutes.
• Free, with no limit on the number of integrations per seller.

Cons

• No competitor data: you can't get prices, inventory, or rankings of other sellers' products — that requires scraping or third-party analytics services.
• Limits on heavy reports force you to build queues and caching, especially with a large assortment.
• Support goes through the general seller service: developers don't always get quick answers on technical questions.
• Periodic method version changes (v1, v2, v3) require regular integration updates.

Who It's For

Ozon Seller API is essential for every seller with more than a few dozen SKUs: price automation, inventory, order export to accounting systems, building custom sales dashboards. It's a tool for businesses of any size, but exclusively for internal data. If your task is competitive intelligence, the official API won't solve it, and you'll inevitably return to the tools at the top of this ranking.

Key advantage: free, legal, and predictable access to complete data from your own store.

✅ Best choice for: Ozon sellers automating their assortment management and accounting.

⭐ Overall score: 7.6/10

• Features: 7/10
• Price: 10/10
• Proxy support and limits: 7/10
• Ease of use: 8/10
• Tech support: 7/10
• User reviews: 7/10

#7. A-Parser — A Desktop Powerhouse for Those With Their Own Proxies

General Information

A-Parser is a parsing program developed by a Russian-speaking team since 2011. It installs on your server or computer running Windows or Linux and works in multi-threaded mode with any proxies you connect. Originally built for SEO tasks, it has since gained built-in parsers for Wildberries, Ozon, Yandex Market, Amazon, AliExpress, and dozens of other sources, plus a custom parser builder in JavaScript. The audience is SEO specialists, arbitrage traders, developers, and agencies.

Key Features

• Over 90 built-in parsers, including product listings, search results, reviews, and prices on Wildberries and Ozon, plus Yandex Market and Amazon products.
• A JavaScript parser builder with access to Node.js modules for any website and platform internal APIs.
• Multi-threading up to thousands of threads, built-in proxy checker, HTTP and SOCKS5 proxy support with authentication, automatic list rotation.
• Scheduler, API for managing tasks externally, export of results to CSV, JSON, and SQL databases via templates.
• Task chains: one parser's output is automatically passed to another, e.g., search results → product listings → reviews.

Plans and Pricing

• Lite — about $179, a perpetual license with a basic set of parsers.
• Pro — about $279, the full set of parsers and the JavaScript builder.
• Enterprise — about $479, additional features for teamwork and API.
• Updates are included for the first months after purchase, then renewed with a separate subscription; monthly license rental is periodically available.
• There's no free version, but there is demo access to explore the interface.

Proxy costs are on you. That said, a single rotating mobile proxy channel costing a few thousand rubles per month often covers the need for tens of thousands of marketplace requests daily — the total cost ends up lower than cloud APIs from the third or fourth month onward.

Pros

• One-time payment: with regular marketplace scraping, it pays for itself within a quarter compared to subscription services.
• Full proxy control: mobile, residential, datacenter — any of your lists, with rotation and checking.
• Ready-made parsers for Russian platforms that the team updates when endpoints change.
• Russian-language support, a forum, and a Telegram community with task examples.
• Data stays with you: nothing is stored on the service side.

Cons

• The interface is overloaded and looks dated; the learning curve is noticeably higher than cloud services.
• You need your own server or an always-on computer plus administration.
• When a marketplace changes, a parser may not work for several days until an update is released.
• The update model with a separate subscription draws criticism from some users.

Who It's For

A-Parser is the choice for arbitrage traders, SEO specialists, and technical teams that already have mobile proxies and a server. Typical tasks: bulk collection of Wildberries search results for thousands of queries, price monitoring by Ozon category, review collection for analysis. For small and mid-sized businesses with an in-house technical specialist, this is the most cost-effective path in the long run. A marketer without proxy experience will find it challenging.

Key advantage: a perpetual license and complete freedom in choosing proxies.

✅ Best choice for: technical specialists and arbitrage traders with their own mobile proxies.

⭐ Overall score: 7.5/10

• Features: 8/10
• Price: 8/10
• Proxy support and limits: 9/10
• Ease of use: 5/10
• Tech support: 7/10
• User reviews: 7/10

#8. Octoparse — Marketplace Scraping Without a Single Line of Code

General Information

Octoparse is a no-code data collection tool developed since 2016 by a company with offices in the US and China. The program works as a desktop app with a visual builder: you click on page elements, and Octoparse builds the extraction algorithm. Tasks can run locally or in the service's cloud. The target audience is marketers, analysts, and small shop owners without programming skills.

Key Features

• A visual builder with automatic detection of product lists, pagination, and product pages.
• A library of ready-made templates for Amazon, eBay, AliExpress, Walmart, Shopee, Lazada, and several other international platforms.
• Cloud execution with IP rotation on paid plans and a scheduler with intervals down to minutes.
• Export to Excel, CSV, JSON, HTML, direct upload to Google Sheets, databases, integration via API and Zapier.
• Support for custom proxies in local mode, including mobile ones with login and password authentication.

Plans and Pricing

• Free — up to 10 tasks, local runs only, export limited to 10,000 rows at a time.
• Standard — $99 per month billed monthly or $75 with annual billing: 100 tasks, cloud execution in 6 concurrent processes, IP rotation.
• Professional — $249 per month or $208 with annual billing: 250 tasks, 20 concurrent processes, priority support.
• Enterprise — custom terms for teams.

For a no-code tool, the price is high, especially on Professional. However, the free tier with local runs and your own proxies can handle quite serious tasks.

Pros

• The lowest learning curve in the ranking: your first Amazon parser can be built in 15 minutes without programming.
• The free tier has no time limit and allows connecting your own proxies.
• Ready-made templates for international marketplaces work out of the box.
• Separate modes for scrolling infinite feeds and expanding product pages — important for mobile versions of platforms.
• Direct export to Google Sheets is convenient for marketers.

Cons

• No ready-made templates for Wildberries, Ozon, and Yandex Market — the builder works on them, but dynamic loading requires manual setup of waits and scrolling.
• Slower than API services: the visual engine emulates a browser, so 10,000 listings can take hours to collect.
• Tasks break with minor markup changes, and reconfiguration requires manual work.
• Support responds slowly on the free and Standard plans.

Who It's For

Octoparse is optimal for a marketer or small shop owner who needs to pull a few hundred or thousand listings from international platforms once a day, and for validating hypotheses before commissioning development. For Russian marketplaces, it works at moderate volumes with local runs through your own mobile proxies. The tool isn't designed for industrial volumes.

Key advantage: full-fledged no-code parsing with the ability to use your own proxies on the free tier.

✅ Best choice for: marketers and small business owners without a developer on the team.

⭐ Overall score: 7.1/10

• Features: 7/10
• Price: 7/10
• Proxy support and limits: 6/10
• Ease of use: 9/10
• Tech support: 7/10
• User reviews: 7/10

#9. Wildberries API — Free, Official, But With Tight Constraints

General Information

Wildberries API is a set of official interfaces from Russia's largest marketplace for sellers. It's divided into several groups: content, prices and discounts, marketplace (FBS orders), statistics, analytics, promotion, reviews and questions, and tariffs. It has been actively developed since 2021, and documentation has improved noticeably over the past two years. The target audience is sellers and services integrating with their accounts.

Key Features

• Product management: creating, editing, retrieving SKU lists, and working with media.
• Prices and discounts: bulk price uploads, change history, processing statuses.
• FBS orders, assembly tasks, statuses, labels, and supplies.
• Sales, order, and warehouse inventory statistics, plus a sales report for a period.
• Sales funnel analytics for your listings, search queries, ad campaign reports, and review responses.

Authentication is via tokens created in your account separately for each method category with a limited lifespan and a "read-only" option. There's a sandbox for some methods.

Plans and Pricing

• API usage is free for sellers.
• Limits are strict and vary by method: from 1 request per minute for heavy statistical reports to 100 requests per minute for content; exceeding them returns a 429 error with a wait time.
• Tokens must be reissued when they expire — by default around 180 days.

As with Ozon, the economics are excellent for internal data and zero for competitive intelligence.

Pros

• Legal access to all data from your own store: finances, inventory, funnel, search queries.
• Free and with no limit on the number of integrations.
• Search query and funnel analytics for your listings can't be replicated by scraping — it's unique data.
• Separate tokens by category improve security when granting access to contractors.
• Documentation with limit descriptions and request examples has become noticeably better than two years ago.

Cons

• No competitor data whatsoever; for prices and rankings of other sellers' listings, the official API is useless.
• Statistics limits are so low that with a large assortment, reports have to be collected over hours and stored locally.
• Instability: methods change, get deprecated, and move between sections, with announcements coming on short notice.
• Support goes through the general seller channel; API answers are often formal and slow.

Who It's For

Wildberries API is essential for any seller on the platform who wants to automate prices, inventory, and reporting or integrate an accounting system. It's equally useful for a small shop and a large supplier, but only for their own data. For competitor monitoring tasks, Wildberries sellers in 2025 continue to use scraping tools or third-party analytics services, which is why the official API ranks last in a ranking dedicated to scraping.

Key advantage: free access to internal listing analytics, including search queries and funnel data.

✅ Best choice for: Wildberries sellers automating work with their own store.

⭐ Overall score: 6.6/10

• Features: 6/10
• Price: 10/10
• Proxy support and limits: 6/10
• Ease of use: 6/10
• Tech support: 6/10
• User reviews: 6/10

Comparison Table of Marketplace Scraping Tools

Below are the key parameters of all ranking participants in a single format so you can quickly compare approaches.

• Apify — type: cloud scraping platform; Russian platforms: ready-made actors for Wildberries and Ozon; own proxies: yes; learning curve: medium; cost: $1 to $3 per 1,000 results plus a plan from $0 to $49; overall score 8.5.
• Oxylabs Web Scraper API — type: scraping API with structured data; Russian platforms: universal mode only; own proxies: no; learning curve: medium; cost: $2.80 to $1.35 per 1,000 results; overall score 8.3.
• Bright Data — type: full stack from proxies to datasets; Russian platforms: universal tools; own proxies: not needed, own network; learning curve: high; cost: from $1.50 per 1,000 records, datasets from $250; overall score 8.2.
• ScraperAPI — type: scraping API; Russian platforms: HTML without structuring; own proxies: no; learning curve: low; cost: from $49 for 100,000 credits, roughly $0.75 per 1,000 Amazon listings; overall score 8.0.
• Zyte API — type: scraping API with auto-extraction; Russian platforms: auto-extraction of product fields works; own proxies: no; learning curve: medium; cost: from $0.13 per 1,000 simple requests, paid by complexity; overall score 7.9.
• Ozon Seller API — type: official API; competitor data: no; proxies: not needed; learning curve: medium; cost: free; limits: from a few to hundreds of requests per minute by method; overall score 7.6.
• A-Parser — type: desktop parser; Russian platforms: built-in parsers for Wildberries, Ozon, Yandex Market; own proxies: required, mobile supported; learning curve: high; cost: perpetual license from $179; overall score 7.5.
• Octoparse — type: no-code parser; Russian platforms: via builder without templates; own proxies: yes, in local mode; learning curve: low; cost: free tier, paid plans from $75 per month; overall score 7.1.
• Wildberries API — type: official API; competitor data: no; proxies: not needed; learning curve: medium; cost: free; limits: from 1 to 100 requests per minute; overall score 6.6.

The main takeaway from the table: official APIs and scraping don't compete directly — they complement each other. The API covers internal data for free and without risk; scraping covers competitive intelligence. Among scraping tools, the dividing line is the proxy question: cloud APIs (Oxylabs, ScraperAPI, Zyte) free you from IP management but don't let you control them, while Apify, A-Parser, and Octoparse let you use your own mobile proxies, lowering costs over the long run.

Alternatives That Didn't Make the Top List

MPSTATS, Moneyplace, and other marketplace analytics services. This is a third approach that we deliberately left out of the ranking: you don't scrape yourself but buy pre-collected data on Wildberries and Ozon — competitor sales, inventory, price dynamics, search rankings. Subscription costs start at a few thousand rubles per month and reach tens of thousands on professional tiers with API access. We excluded them because they're not scraping tools but ready-made analytics with limited depth: you only get the metrics the service decided to collect, at the frequency it chose. Consider them if you need standard niche reports without technical effort.

Yandex Market API. The official partner API of Russia's third-largest marketplace. In maturity, it's closer to Ozon than Wildberries: clear documentation, method-level limits, a sandbox. It didn't make the ranking to avoid duplicating the two already-described official APIs with the same pros and cons: free, legal, but only your own data. It suits platform sellers for automation.

Scrapy and Playwright as a DIY build. Open-source frameworks on which you can build your own marketplace parser from scratch. The cost is just developer time and proxies. They didn't make the ranking because they're not services but tools, and their effectiveness depends 100% on your team. Consider this path if you have a developer, mobile proxies, and a need for full control over data and expenses.

ParseHub. A no-code competitor to Octoparse with a free tier of up to 200 pages per run and paid plans from $189 per month. It didn't make the top list due to a higher price for comparable functionality and the lack of templates for Russian platforms.

Recommendations for Choosing a Marketplace Scraping Tool

• Best for beginners: Octoparse on the free tier if you need international platforms, or ready-made Apify actors if you work with Wildberries and Ozon. In both cases, you'll get your first result within an hour without programming.
• Best for professionals: Oxylabs for stable industrial collection of structured data from Amazon and other Western marketplaces; A-Parser for technical specialists with their own mobile proxies and a focus on Russian platforms.
• Best value: ScraperAPI among cloud solutions at medium volume and A-Parser over the long run thanks to its perpetual license. Ozon and Wildberries official APIs are free, but only for your own data.
• Best features: Bright Data — from ready-made datasets to a remote browser, all in one account.
• For small business: a combination of the platform's official API for your own data plus Apify or Octoparse for monitoring a few hundred competitors. Budget — from $0 to $50 per month.
• For mid-sized business: Apify or Zyte with pay-as-you-go, or A-Parser on your own server with mobile proxies. Budget — $100–300 per month.
• For large business: Oxylabs or Bright Data with SLA and a dedicated manager; for Russian platforms — custom development on Scrapy with a mobile proxy fleet. Budget — from $500 per month.

A separate tip for the mobileproxy.space audience: if you already have mobile proxies, choose tools from the second and third groups — Apify, A-Parser, Octoparse, or your own parser. You've already paid for the most expensive part of the infrastructure, and there's no point overpaying for the built-in pools of cloud APIs. If you don't have proxies and don't want to deal with them, cloud APIs with pay-per-result are more honest in total cost than they seem at first glance.

FAQ: Common Questions About Marketplace Scraping

What should I choose: official API or scraping?

It's not an either-or choice. For your own store's data — prices, inventory, orders, finances, funnel — use the official API: it's free, stable, and doesn't violate platform rules. For competitor data, official APIs are unsuitable by definition, and here you're left with scraping tools or ready-made analytics services. Most mature teams combine both approaches.

Is marketplace scraping legal?

Collecting publicly available commercial information — prices, specs, product availability — is not in itself prohibited by the laws of the Russian Federation. However, platforms describe restrictions on automated access in their user agreements, and violating them can lead to a seller account being blocked. You absolutely must not collect personal user data without legal grounds or create load that disrupts the service. We recommend maintaining a reasonable request rate, not collecting buyer data, and consulting a lawyer if in doubt.

Why do I need mobile proxies if the service already rotates IPs?

Cloud scraping APIs do rotate IPs themselves, but you don't control pool quality and pay a markup for each request. Your own mobile proxies give predictable behavior: a single channel with URL-based rotation through a carrier looks like a regular smartphone user to the platform, and the cost doesn't grow with the number of requests. They're mandatory for A-Parser, Octoparse, and custom parsers, and a recommended option for Apify when the built-in pool has a high error rate.

What are the limits of the official Wildberries and Ozon APIs?

Wildberries limits vary by method group: from 1 request per minute for heavy statistical reports to 100 requests per minute for content. Ozon allows hundreds of requests per minute for most product methods, while heavy reports are limited to a few requests. When exceeded, both APIs return a 429 error. A practical rule: cache data locally, use Ozon webhooks, and spread requests over time.

How much does it cost to collect 100,000 Wildberries listings?

Via a ready-made Apify actor — roughly $150–250 including platform expenses. Via A-Parser with your own mobile proxies — just proxy costs and license amortization, usually within a few thousand rubles per month with regular use. Via Zyte API — depends on the assigned complexity tier, roughly $100 to $400. Oxylabs and Bright Data will require self-configuring parsing rules and cost more.

How often do parsers break when marketplaces change?

Large platforms change markup and internal endpoints several times a year. On Apify, third-party actors are updated from a few hours to weeks depending on the author's activity. A-Parser releases built-in parser updates usually within a few days. Zyte with auto-extraction most often keeps working without changes. Official APIs break less often, but their methods get deprecated on the platform's schedule, which also requires updates.

Do I need a developer for marketplace scraping?

For Octoparse and ready-made Apify actors — no, a confident user is enough. For ScraperAPI, Zyte, Oxylabs, and Bright Data, you need someone capable of writing a few dozen lines of code or setting up an integration via Make or Zapier. For A-Parser, you need a technical specialist familiar with proxies and servers. For official APIs, you need a developer or a ready-made integration service.

Can I get competitor data through official APIs?

No. The official Wildberries, Ozon, and Yandex Market APIs only return information about your own store. The only exception is reports on search queries and your own listing rankings, where the competitive environment is indirectly visible. Full data on other sellers' prices and inventory is only available through scraping or analytics services.

How does a structured parser differ from a universal one?

A structured parser, like Oxylabs for Amazon, returns ready-made JSON with fields like "price," "rating," "seller" — you write data straight to the database. Universal mode returns HTML or a raw response, and field extraction is on you. Zyte occupies a middle ground: its auto-extraction works on any store but requires validation. For Russian platforms, structured parsers exist only in Apify and A-Parser.

Conclusion: Where Marketplace Scraping Is Heading

The ranking showed that the "API vs scraping" question in 2025 is resolved not by choosing one camp but by properly dividing tasks. Apify topped the list as the most balanced tool with ready-made solutions for Russian platforms and flexibility in proxy handling. Oxylabs and Bright Data remain the gold standard for industrial data collection from international marketplaces, ScraperAPI and Zyte offer the best economics for developers, and A-Parser and Octoparse let you use your own mobile proxies and control costs. The official Ozon and Wildberries APIs are free and essential for every seller, but they only solve internal tasks.

The final recommendation is simple. Start with your platform's official API — it's free and removes most operational routine. For competitive intelligence, add a scraping tool that matches your skill level: no-code for a marketer, cloud API for a developer, desktop parser with mobile proxies for a technical team aiming for minimal long-term costs. Test each tool on a free tier or trial before paying.

The 2024–2025 trends are obvious. First, marketplaces are strengthening protection against automated access, and the success rate from datacenter IPs is dropping, which raises the value of mobile and residential proxies. Second, scraping services are mass-adopting artificial intelligence for automatic field extraction, and the gap between structured and universal parsing is narrowing. Third, platforms are gradually expanding their official APIs — Wildberries added funnel and search query analytics over two years, Ozon is developing webhooks — and some tasks that previously required scraping are moving into the legal realm.

What to expect next: the market is moving toward a "data as a service" model where you pay for results rather than infrastructure, and simultaneously toward stricter regulation of data collection. The winners will be those who build a hybrid system now — official APIs for their own data, careful scraping through quality mobile proxies for market analytics, and attention to platform rules. Such a setup will survive any changes in algorithms and pricing. Information in this article is current as of Q1 2025; before making a decision, verify prices and limits on the official service websites.