# Amazon Haul Search (`sentry/amazon-haul-search`) Actor Scrape Amazon Haul search results by keyword and extract product titles, ASINs, prices, ratings, review counts, images, and product URLs for Amazon product research. - **URL**: https://apify.com/sentry/amazon-haul-search.md - **Developed by:** [Sentry](https://apify.com/sentry) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $25.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Haul Search Amazon Haul Search is an **Amazon Haul scraper** for collecting **Amazon Haul search results** by keyword. It extracts structured **Amazon product data** from the Amazon Haul surface, including **product titles, ASINs, prices, ratings, review counts, images, and product URLs**. This actor is built for users who need a reliable **Amazon Haul product scraper** for: - Amazon Haul product research - Amazon Haul keyword research - low-price product discovery - ecommerce catalog collection - Amazon ASIN extraction - Amazon price and review analysis - competitor and assortment research ### What this Amazon Haul scraper does Use this actor to search Amazon Haul and export product-level results from Amazon Haul search pages. It can help you: - scrape Amazon Haul products by keyword - collect Amazon Haul ASINs at scale - export Amazon Haul prices, ratings, and review counts - capture Amazon Haul product images and product links - build keyword-based Amazon product datasets - compare Amazon Haul search results across multiple niches ### Key features - Amazon Haul keyword search scraping - Amazon Haul product result extraction - Amazon Haul ASIN export - Amazon Haul price extraction - Amazon Haul star rating extraction - Amazon Haul review count extraction - Amazon Haul product image extraction - Amazon Haul product URL extraction - multi-query runs - multi-page crawling - structured dataset output for downstream workflows ### Input Run the actor with one or more Amazon Haul search queries. #### Supported input fields - `queries` - List of Amazon Haul search queries - One query per line in the Apify UI - `query` - Optional single-query fallback - `maxItems` - Maximum number of output rows - `maxPages` - Maximum search-result pages per query - `includeBadges` - Include badge or label text when available - `debugAnomalies` - Optional diagnostic logging for rare partial-null rows - `requestTimeoutSec` - Per-page timeout - `maxConcurrency` - Parallel page-processing limit - `proxyConfiguration` - Residential proxies are recommended for Amazon #### Example queries - `phone case` - `makeup bag` - `water bottle` - `travel organizer` - `car accessories` ### Output Each dataset item is one Amazon Haul search result. #### Output fields - `query` - `page_number` - `search_rank` - `asin` - `product_title` - `product_url` - `image_url` - `price_text` - `price_value` - `rating_text` - `rating_value` - `reviews_text` - `reviews_count` - `badges` - `source_url` - `scraped_at` ### Example use cases - scrape Amazon Haul search results into a dataset - export Amazon Haul products for product research - collect Amazon Haul ASINs for downstream enrichment - build low-price Amazon product catalogs by keyword - analyze Amazon Haul pricing by niche - compare rating and review density across search terms - collect Amazon Haul product links and images for internal review ### Why use Amazon Haul Search Amazon Haul behaves differently from a generic Amazon search experience. If you want a tool built specifically for **Amazon Haul product discovery** and **Amazon Haul search result extraction**, this actor gives you a cleaner dataset than a generic Amazon scraper aimed at the broader marketplace. This is a good fit if you need: - an **Amazon Haul scraper** - an **Amazon Haul search scraper** - an **Amazon Haul product scraper** - an **Amazon Haul ASIN scraper** - an **Amazon Haul price scraper** - an **Amazon Haul review scraper** ### Important notes - `source_url` is the Amazon Haul search page where the item was found. - `product_url` usually points to the Amazon product page URL associated with that result. - Amazon can show slightly different prices depending on offer state, variation state, or how the listing is rendered at that moment. - `asin` is the most stable field for joins, deduplication, and downstream enrichment. ### Best practices - Use residential proxies for better reliability on Amazon. - Keep query sets focused when testing new niches. - Use `asin` as your primary product identifier. - Use `price_value`, `rating_value`, and `reviews_count` for filtering and analysis. - Use `debugAnomalies` only when auditing rare edge cases. ### Who this actor is for - ecommerce operators - product researchers - marketplace analysts - deal researchers - catalog teams - Amazon-focused data users ### Search keywords this actor targets This actor is relevant for users searching for: - Amazon Haul scraper - Amazon Haul search scraper - Amazon Haul product scraper - Amazon Haul ASIN scraper - Amazon Haul data scraper - Amazon Haul price scraper - Amazon Haul reviews scraper - Amazon Haul keyword scraper - Amazon product data scraper - Amazon ASIN scraper ### FAQ #### Does this scrape Amazon Haul search results or normal Amazon search? This actor is designed for **Amazon Haul search results**. #### Does it return ASINs? Yes. The actor returns `asin` for each result whenever available. #### Does it return numeric price, rating, and review fields? Yes. In addition to raw text fields, the actor returns: - `price_value` - `rating_value` - `reviews_count` #### Why does the product URL sometimes look like a normal Amazon URL? Amazon Haul is a discovery surface, but the product links associated with results commonly resolve to standard Amazon product detail URLs. ### Summary If you need an **Amazon Haul scraper** that can search Amazon Haul by keyword and export **product titles, ASINs, prices, ratings, review counts, images, and product URLs**, Amazon Haul Search is built for that job. # Actor input Schema ## `queries` (type: `array`): Amazon Haul search queries. One query per line in the Apify UI. ## `query` (type: `string`): Optional fallback if `queries` is empty. ## `maxItems` (type: `integer`): Maximum number of product results to emit. ## `maxPages` (type: `integer`): Maximum result pages to crawl per query. ## `includeBadges` (type: `boolean`): Include lightweight badge and label text extracted from result cards. ## `debugAnomalies` (type: `boolean`): Log extra detail for rare rows where price/rating/review fields come back partially null. ## `requestTimeoutSec` (type: `integer`): Per-page timeout. ## `maxConcurrency` (type: `integer`): How many pages to process in parallel. ## `proxyConfiguration` (type: `object`): Residential proxies are recommended for Amazon. ## Actor input object example ```json { "queries": [ "phone case", "makeup bag" ], "query": "", "maxItems": 200, "maxPages": 3, "includeBadges": true, "debugAnomalies": false, "requestTimeoutSec": 45, "maxConcurrency": 1, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ```` # Actor output Schema ## `dataset` (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 = { "queries": [ "phone case", "makeup bag" ] }; // Run the Actor and wait for it to finish const run = await client.actor("sentry/amazon-haul-search").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 = { "queries": [ "phone case", "makeup bag", ] } # Run the Actor and wait for it to finish run = client.actor("sentry/amazon-haul-search").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 '{ "queries": [ "phone case", "makeup bag" ] }' | apify call sentry/amazon-haul-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sentry/amazon-haul-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Haul Search", "description": "Scrape Amazon Haul search results by keyword and extract product titles, ASINs, prices, ratings, review counts, images, and product URLs for Amazon product research.", "version": "1.0", "x-build-id": "it4S7InQVna4E1DtY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sentry~amazon-haul-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sentry-amazon-haul-search", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sentry~amazon-haul-search/runs": { "post": { "operationId": "runs-sync-sentry-amazon-haul-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sentry~amazon-haul-search/run-sync": { "post": { "operationId": "run-sync-sentry-amazon-haul-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "queries": { "title": "Queries", "type": "array", "description": "Amazon Haul search queries. One query per line in the Apify UI.", "items": { "type": "string" } }, "query": { "title": "Single Query Fallback", "type": "string", "description": "Optional fallback if `queries` is empty.", "default": "" }, "maxItems": { "title": "Max Items", "minimum": 1, "type": "integer", "description": "Maximum number of product results to emit.", "default": 200 }, "maxPages": { "title": "Max Pages Per Query", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum result pages to crawl per query.", "default": 3 }, "includeBadges": { "title": "Include Badge Text", "type": "boolean", "description": "Include lightweight badge and label text extracted from result cards.", "default": true }, "debugAnomalies": { "title": "Debug Null/Anomaly Logs", "type": "boolean", "description": "Log extra detail for rare rows where price/rating/review fields come back partially null.", "default": false }, "requestTimeoutSec": { "title": "Request Timeout (seconds)", "minimum": 10, "maximum": 180, "type": "integer", "description": "Per-page timeout.", "default": 45 }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many pages to process in parallel.", "default": 1 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Residential proxies are recommended for Amazon.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```