# Etsy Product Search Scraper (`good-apis/etsy-search-scraper`) Actor Search Etsy by keyword and get product listings — title, price, shop, rating, image. No login. Pay per result ($0.90/1k). - **URL**: https://apify.com/good-apis/etsy-search-scraper.md - **Developed by:** [Danny](https://apify.com/good-apis) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.90 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Etsy Product Search Scraper Search Etsy by keyword and get clean, structured product listings — **title, price, shop, rating, and image** — with no login and no browser to manage. Point it at a keyword, get back a dataset you can push straight into a spreadsheet, database, or price-tracking pipeline. **Pricing: $0.90 per 1,000 results** (pay per result — you only pay for listings actually returned). ### What you get Every listing returns: | Field | Description | |---|---| | `listing_id` | Etsy listing id (stable key) | | `title` | Product title | | `price` | Current price (number) | | `original_price` | Pre-sale price, if on sale | | `on_sale` | Whether the listing is discounted | | `currency_symbol` | Currency symbol (e.g. `$`) | | `shop` | Seller shop name | | `rating` | Average review rating | | `reviews` | Review count (as shown on the card) | | `is_ad` | Whether the card is a promoted/ad result | | `image` | Primary product image URL | | `url` | Direct link to the listing | ### Input | Field | Required | Description | |---|---|---| | `query` | ✅ | Search keyword, e.g. `leather wallet` | | `max_results` | | How many listings to return (default 48, max ~96) | ```json { "query": "leather wallet", "max_results": 48 } ```` ### Example output ```json { "listing_id": "870439619", "title": "Handmade Personalized Men's Full Grain Leather Wallet, RFID Bifold", "price": 23.48, "original_price": 33.54, "on_sale": true, "currency_symbol": "$", "shop": "CaglarCreations", "rating": 4.9, "reviews": "1.2k", "is_ad": false, "image": "https://i.etsystatic.com/...", "url": "https://www.etsy.com/listing/870439619/" } ``` ### How to run it **Apify Console** — paste a keyword into the input form and click **Start**. **API** (run and fetch results): ```bash curl -X POST "https://api.apify.com/v2/acts/good-apis~etsy-search-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"query":"leather wallet","max_results":48}' ``` **Python** (apify-client): ```python from apify_client import ApifyClient client = ApifyClient("YOUR_TOKEN") run = client.actor("good-apis/etsy-search-scraper").call( run_input={"query": "leather wallet", "max_results": 48}) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["title"], item["price"], item["shop"]) ``` ### FAQ **Do I need an Etsy login or API key?** No. It reads public search results. **Is the data public?** Yes — everything returned is visible on Etsy's public search pages. **What if my keyword has no results?** The run succeeds with an empty dataset (you're not charged for zero results). **How many results can I get?** Up to ~96 per run (about two pages). Run multiple keywords to cover more. **Do you pair with product/shop detail?** Yes — see **Etsy Product Detail Scraper** and **Etsy Shop Scraper** for full listing and shop data. # Actor input Schema ## `query` (type: `string`): What to search for on Etsy — e.g. 'leather wallet', 'personalized mug', 'boho earrings'. ## `max_results` (type: `integer`): How many listings to return (about 64 per page, up to ~96). ## Actor input object example ```json { "query": "leather wallet", "max_results": 48 } ``` # Actor output Schema ## `results` (type: `string`): All scraped items in the default dataset. # 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 = { "query": "leather wallet", "max_results": 48 }; // Run the Actor and wait for it to finish const run = await client.actor("good-apis/etsy-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 = { "query": "leather wallet", "max_results": 48, } # Run the Actor and wait for it to finish run = client.actor("good-apis/etsy-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 '{ "query": "leather wallet", "max_results": 48 }' | apify call good-apis/etsy-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=good-apis/etsy-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Etsy Product Search Scraper", "description": "Search Etsy by keyword and get product listings — title, price, shop, rating, image. No login. Pay per result ($0.90/1k).", "version": "0.1", "x-build-id": "F32irygDBAc7Q4TtE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/good-apis~etsy-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-good-apis-etsy-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/good-apis~etsy-search-scraper/runs": { "post": { "operationId": "runs-sync-good-apis-etsy-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/good-apis~etsy-search-scraper/run-sync": { "post": { "operationId": "run-sync-good-apis-etsy-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": [ "query" ], "properties": { "query": { "title": "Search keyword", "type": "string", "description": "What to search for on Etsy — e.g. 'leather wallet', 'personalized mug', 'boho earrings'." }, "max_results": { "title": "Max results", "minimum": 1, "maximum": 96, "type": "integer", "description": "How many listings to return (about 64 per page, up to ~96).", "default": 48 } } }, "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 } } } } } } } } } } ```