

Amazon / eBay Product Scraper can collect product listings from Amazon or eBay by keyword and export the data in your preferred format. You can use this data for competitive analysis, price monitoring, or as a data foundation for new applications and automated workflows.
Amazon / eBay Product Scraper can collect product listings from Amazon or eBay by keyword and export the data in your preferred format. You can use this data for competitive analysis, price monitoring, or as a data foundation for new applications and automated workflows.
Amazon / eBay Product Scraper can collect the following public data fields:
| 🏷️ Product Title | 💰 Price | 💲 Currency |
|---|---|---|
| ⭐ Rating | 💬 Review Count | 🚚 Shipping |
| 🔗 Product URL | 🖼️ Image URL | 🆔 Product ID |
| 🌐 Marketplace | 🔍 Keyword | 📦 Availability |
Using Amazon / eBay Product Scraper to collect data requires just 5 steps:
Fill in the input form to start collecting. Amazon / eBay Product Scraper supports the following input parameters:
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
keyword | string | Yes | wireless mouse | The product keyword to search for. Examples:iPhone 15 case, wireless mouse, gaming keyboard. |
marketplace | select | Yes | ebay | Target e-commerce platform. Options:ebay (eBay), amazon (Amazon US). |
max_results | integer | Yes | 20 | Maximum number of products to collect. Valid range:1 ~ 200. |
page_limit | integer | No | 5 | Maximum number of search result pages to crawl. Valid range:1 ~ 10. |
Run results will be saved to CoreClaw's result table.
The eBay mode is used to collect product listings matching a keyword on eBay. The following is an output example using the keyword "wireless mouse":
The Amazon mode is used to collect product listings matching a keyword on Amazon US. The following is an output example using the keyword "wireless mouse":
When the Worker cannot retrieve data for an input—for example, the keyword is empty or the marketplace is unsupported—it will write an error item to the results instead of silently skipping it. Normal output items are not affected; you can distinguish between the two by checking whether the status field is failed.
This Worker returns error messages rather than fixed numeric error codes. Common messages include:
| Error message pattern | Meaning |
|---|---|
keyword is required | The keyword input is empty |
unsupported marketplace: {value} | The marketplace value is not amazon or ebay |
Amazon / eBay Product Scraper charges per successfully returned result. You can easily estimate costs based on the Worker's pricing page. For more billing details, please read the CoreClaw pricing page.
Yes. You can integrate Amazon / eBay Product Scraper into your applications and workflows via CoreClaw API, result exports, callbacks, saved tasks, n8n workflows, or CoreClaw MCP server.
CoreClaw API supports programmatic access to the CoreClaw platform. Through the API, you can view Workers and input schemas, run Workers, monitor Worker runs, retrieve results, export results, view logs, re-run tasks, or abort runs. For details, please refer to the CoreClaw API documentation.
Yes. Through CoreClaw MCP server, you can use this Worker in MCP-compatible clients, including discovering Workers, viewing input schemas, starting runs, monitoring status, listing result rows, exporting result files, and viewing logs. For details, please refer to the CoreClaw MCP documentation.
When using Amazon / eBay Product Scraper, you can first use MCP tools to search for the Worker, load the input schema, start a run with JSON input, and finally retrieve or export results.
This Worker targets publicly available product listing data on Amazon and eBay. However, before collecting, storing, or using this data, you should evaluate the terms of service of the respective platform and applicable legal requirements for your use case. If you are unsure, please consult a qualified legal professional.
Amazon and eBay public web endpoints and page structures may change. If a run fails, returns empty results, or is missing previously available fields, please check the input and run logs first, then provide feedback with a reproducible input example.
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