# Amazon Search & Best Sellers Scraper (`gopalakrishnan/amazon-search-scraper`) Actor Scrape Amazon keyword search results or Best Sellers category lists into structured data — ASIN, title, price, rating, rank, and product link. Pay-per-result pricing, automatic residential proxy rotation, and no Amazon API or coding needed. - **URL**: https://apify.com/gopalakrishnan/amazon-search-scraper.md - **Developed by:** [Gopalakrishnan](https://apify.com/gopalakrishnan) (community) - **Categories:** E-commerce, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 search results scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Amazon Search & Best Sellers Scraper ### What does Amazon Search & Best Sellers Scraper do? This Actor extracts **product listings from two Amazon "listing" page types**: keyword search results (`amazon.com/s?k=...`) and Best Sellers category lists (`amazon.com/Best-Sellers-.../zgbs/...`). For each product it returns the ASIN, title, price, star rating (search mode) or sales rank (Best Sellers mode), and a direct product link. Try it with a few search terms or paste in any Amazon Best Sellers category URL, then run the Actor on the [Apify platform](https://apify.com) to get clean, structured data with automatic proxy rotation, scheduling, monitoring, and API/webhook access — no need to build or maintain your own scraper. For single-product detail pages (full descriptions, images, reviews, buy-box history), see the sibling **Amazon Product Scraper** Actor instead — this Actor only covers multi-product listing pages. ### Why use Amazon Search & Best Sellers Scraper? - **Market & competitor research** — see how products rank for a keyword, track price and rating positioning across competitors. - **Best Sellers tracking** — monitor category rank movement for your own or a competitor's products over time (combine with Apify's [Scheduler](https://docs.apify.com/platform/schedules)). - **Lead/catalog building** — bulk collect ASINs, titles, and links for a set of search terms or categories as a starting point for further enrichment. ### How to use Amazon Search & Best Sellers Scraper 1. Open the Actor's **Input** tab. 2. Choose a **Mode**: - **Keyword search** — enter one or more search terms in **Search queries**. - **Best Sellers list** — paste one or more full Amazon Best Sellers category URLs in **Best Sellers URLs**. 3. Optionally set **Max items per query/URL** to cap how many results come back. 4. Click **Start**. Results stream into the run's dataset as they're scraped. 5. Export the dataset (JSON, CSV, Excel, etc.) or pull it via the API. #### A note on proxies - **Keyword search requires a residential proxy.** Amazon blocks datacenter IPs on search pages almost immediately. The default **Proxy configuration** is already set to `RESIDENTIAL` — leave it as-is for search mode. If you have explicitly switched it to datacenter-only, the run will fail fast with a clear error rather than silently returning no results. - **Best Sellers lists work fine on regular (datacenter) Apify Proxy** — no residential proxy needed, which keeps this mode cheaper to run. ### Input | Field | Description | | -------------------- | ---------------------------------------------------------- | | `mode` | `search` or `bestsellers`. | | `searchQueries` | Keywords to search (mode = `search`). | | `bestsellersUrls` | Full Best Sellers category URLs (mode = `bestsellers`). | | `maxItems` | Cap on results returned per query/URL. | | `proxyConfiguration` | Proxy group settings — keep `RESIDENTIAL` for search mode. | See the **Input** tab for the full schema and defaults. ### Output Each scraped product is one row in the dataset. Example for keyword search: ```json { "mode": "search", "asin": "B0DBHNP197", "rank": null, "title": "WEIZE Mountain Bike, 24 26 27.5 inch Outdoor MTB Bike", "price": "$199.99", "rating": "4.1 out of 5 stars", "link": "https://www.amazon.com/WEIZE-High-Carbon-Suspension-Adjustable/dp/B0DBHNP197", "sourceQuery": "bikes", "sourceUrl": null, "scrapedAt": "2026-06-21T14:55:00.000Z" } ```` Example for a Best Sellers list (price/rating are typically not present on this page type): ```json { "mode": "bestsellers", "asin": "B0B73XM8ZB", "rank": 1, "title": "HOTWAVE Push Up Board Fitness, Portable Foldable 20 in 1 Push Up Bar", "price": null, "rating": null, "link": "https://www.amazon.com/HOTWAVE-Portable-Foldable-Professional-Equipment/dp/B0B73XM8ZB", "sourceQuery": null, "sourceUrl": "https://www.amazon.com/Best-Sellers-Sports-Outdoors-Kids-Bicycles/zgbs/sporting-goods/3408481", "scrapedAt": "2026-06-21T14:55:00.000Z" } ``` You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. #### Data fields | Field | Description | | ------------- | ------------------------------------------------------------------- | | `mode` | `search` or `bestsellers`. | | `asin` | Amazon Standard Identification Number. | | `rank` | Best Sellers rank (Best Sellers mode only). | | `title` | Product title. | | `price` | Listed price, if shown on the page. | | `rating` | Star rating text (search mode only). | | `link` | Direct product URL. | | `sourceQuery` | The search query that produced this result (search mode). | | `sourceUrl` | The Best Sellers URL that produced this result (Best Sellers mode). | | `scrapedAt` | ISO timestamp of when the record was scraped. | ### Pricing / cost estimation This Actor is billed [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event): a small flat fee per run (`actor-start`) plus a per-result fee (`result-scraped`) charged once for every product record pushed to the dataset, regardless of mode. Check the Actor's **Pricing** tab on the Apify Store for current rates. Search mode costs more in proxy usage (residential) than Best Sellers mode, but the per-result charge is the same for both. ### Tips for Amazon Search & Best Sellers Scraper - Keep **Max items per query/URL** modest if you only need a snapshot — Amazon's first search results page typically returns ~16-24 organic + sponsored results, and Best Sellers pages return up to 50-100 ranked items. - Don't switch the proxy group away from `RESIDENTIAL` for search mode — it will fail fast rather than waste run time on blocked requests. - For Best Sellers category node IDs, browse to the category on Amazon and copy the full `zgbs/...` URL from your browser - there's no need to look up node IDs manually. ### FAQ, disclaimers, and support This Actor only scrapes publicly available product listing data. Use it in accordance with Amazon's Terms of Service and applicable laws in your jurisdiction; it's intended for research, monitoring, and analysis use cases. Amazon's HTML structure changes periodically; if you notice missing fields or zero results, please report it via the Actor's **Issues** tab so selectors can be updated. Need a custom variant (different marketplace, extra fields, deeper pagination)? Reach out via Issues or request a custom solution. # Actor input Schema ## `mode` (type: `string`): Choose what to scrape: keyword search results or a Best Sellers category list. ## `searchQueries` (type: `array`): Keywords to search for on Amazon (used when Mode = 'Keyword search'). Requires residential proxy. ## `bestsellersUrls` (type: `array`): Full Amazon Best Sellers category URLs, e.g. https://www.amazon.com/Best-Sellers-Sports-Outdoors-Kids-Bicycles/zgbs/sporting-goods/3408481 (used when Mode = 'Best Sellers list'). ## `maxItems` (type: `integer`): Maximum number of results to return per search query or Best Sellers URL. Leave empty for no limit. ## `proxyConfiguration` (type: `object`): Keyword search REQUIRES a residential proxy group (datacenter proxies get blocked by Amazon). Best Sellers lists work fine on datacenter proxies. ## Actor input object example ```json { "mode": "search", "searchQueries": [ "bikes" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "bikes" ] }; // Run the Actor and wait for it to finish const run = await client.actor("gopalakrishnan/amazon-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQueries": ["bikes"] } # Run the Actor and wait for it to finish run = client.actor("gopalakrishnan/amazon-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "bikes" ] }' | apify call gopalakrishnan/amazon-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gopalakrishnan/amazon-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Search & Best Sellers Scraper", "description": "Scrape Amazon keyword search results or Best Sellers category lists into structured data — ASIN, title, price, rating, rank, and product link. Pay-per-result pricing, automatic residential proxy rotation, and no Amazon API or coding needed.", "version": "0.0", "x-build-id": "Nis3qPF5owJDZjyrK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gopalakrishnan~amazon-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gopalakrishnan-amazon-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gopalakrishnan~amazon-search-scraper/runs": { "post": { "operationId": "runs-sync-gopalakrishnan-amazon-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gopalakrishnan~amazon-search-scraper/run-sync": { "post": { "operationId": "run-sync-gopalakrishnan-amazon-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "bestsellers" ], "type": "string", "description": "Choose what to scrape: keyword search results or a Best Sellers category list.", "default": "search" }, "searchQueries": { "title": "Search queries", "type": "array", "description": "Keywords to search for on Amazon (used when Mode = 'Keyword search'). Requires residential proxy.", "items": { "type": "string" } }, "bestsellersUrls": { "title": "Best Sellers URLs", "type": "array", "description": "Full Amazon Best Sellers category URLs, e.g. https://www.amazon.com/Best-Sellers-Sports-Outdoors-Kids-Bicycles/zgbs/sporting-goods/3408481 (used when Mode = 'Best Sellers list').", "items": { "type": "string" } }, "maxItems": { "title": "Max items per query/URL", "minimum": 1, "type": "integer", "description": "Maximum number of results to return per search query or Best Sellers URL. Leave empty for no limit." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Keyword search REQUIRES a residential proxy group (datacenter proxies get blocked by Amazon). Best Sellers lists work fine on datacenter proxies.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```