# Etsy Product Scraper Price Filter (`getdataforme/etsy-product-scraper`) Actor Scrape products from Etsy marketplace placed by sellers based on search results. Etsy product scraper to fetch product details like price, description, product url, images, handmade or not details and almost all information listed for the product. Price filter available - **URL**: https://apify.com/getdataforme/etsy-product-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, Lead generation, Real estate - **Stats:** 7 total users, 1 monthly users, 82.8% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ### **Etsy Shop Products Crawler** A high-performance web crawling tool built for the Apify platform. It is engineered to extract detailed product listings, pricing structures, shipping fulfillment metrics, and return policies directly from any specified Etsy storefront. ### **🎯 Key Benefits & Features** * **Store-Level Ingestion:** Scrape an entire storefront's public catalog simply by providing the target Etsy shop name. * **Logistics & Policy Intel:** Automatically extracts shipping windows (min\_processing\_days, max\_processing\_days) and return rules (are\_returns\_accepted) to reveal vendor fulfillment strategies. * **Aggregated Shop Metrics:** Captures total review counts and average ratings alongside each product object to track overall merchant authority. * **Anti-Blocking Integration:** Seamlessly routes requests through Apify's smart rotating proxies to bypass platform rate limiting. * **No-Code Delivery:** Export deeply structured e-commerce data straight into CSV, Excel, or JSON spreadsheets via a web-based console. ### **📥 Input Parameters** Provide the unique handle or name of the target Etsy storefront using a clean JSON configuration array. #### **Input Configuration Template** JSON { "shop\_name": "example-shop" } #### **Fields Explained** * shop\_name *(String \- Required)*: The exact handle or name of the target Etsy shop as seen in its profile URL (e.g., if the URL is \[etsy.com/shop/UniqueCrafts\](https://etsy.com/shop/UniqueCrafts), the input is UniqueCrafts). ### **📤 Output Structure** Upon a successful crawl, your dataset is compiled into a clean collection of product objects. You can preview or download the results immediately from your Apify storage workspace. #### **Sample Data Output Object** JSON \[ { "title": "Stained glass pendant necklace Paisley (1463)", "price": "36.00", "currency\_code": "USD", "url": "https://www.etsy.com/listing/674576378/stained-glass-pendant-necklace-paisley", "shop\_average\_rating": "4.9149", "shop\_total\_rating\_count": "4570", "origin\_country\_id": 220, "min\_processing\_days": 3, "max\_processing\_days": 5, "origin\_postal\_code": "150103", "are\_returns\_accepted": true, "are\_exchanges\_accepted": true, "return\_deadline\_in\_days": 30 } \] #### **Output Fields Explained** * title *(String)*: The public display name of the listing item. * price **&** currency\_code *(String)*: The item cost value paired with its active currency denomination (e.g., USD, EUR). * url *(String)*: The direct web link pointing to the individual live listing. * shop\_average\_rating *(String)*: The overall lifetime rating score of the store out of 5 stars. * shop\_total\_rating\_count *(Integer)*: Accumulative volume of customer feedback left for the shop. * min\_processing\_days **/** max\_processing\_days *(Integer)*: Estimated timeline required by the merchant to prepare and ship out the item. * are\_returns\_accepted **/** are\_exchanges\_accepted *(Boolean)*: Flat indicators verifying consumer protection policy status. * return\_deadline\_in\_days *(Integer)*: Allowed time window allotted to buyers for return shipping requests. ### **❓ Frequently Asked Questions (FAQ)** #### **1\. Where do I find the correct "shop\_name" parameter?** Look at the web address when viewing the shop's home storefront. In \[https://www.etsy.com/shop/CozyKnitsStudio\](https://www.etsy.com/shop/CozyKnitsStudio), the value you need to input is exactly CozyKnitsStudio. Avoid using full URLs or adding spaces in this parameter field. #### **2\. Can I use this data for dynamic pricing optimization?** Absolutely. By converting the output dataset into standard analytical formats like CSV or Excel, your marketing team can monitor rival price structures, shipping processing delays, and return terms to optimize your own store's competitive advantages. #### **3\. What is the pricing model for this tool?** The crawler uses a simple usage-based cost framework beginning at **$9.00 per 1,000 results processed**, plus your baseline Apify platform cloud compute allocation rates. #### **4\. Is it safe to execute major structural extractions at scale?** Yes. Apify utilizes professional residential and datacenter proxy rotation layouts natively. The scraper disperses systemic requests dynamically across safe networks to secure predictable data drops without provoking security flags from the host ecosystem. ### **🔗 Complementary Market Tools** Pair this store crawler with other data collection tools from the getdataforme ecosystem to maximize marketplace insights: * **Etsy Review Scraper** ([Link](https://apify.com/getdataforme/etsy-review-scraper)): Isolate and download raw historical reviews for any individual product entry. * **Etsy Sellers Bulk Reviews Pro** ([Link](https://apify.com/getdataforme/etsy-sellers-bulk-reviews-pro)): Run automated bulk processing over multiple store profiles simultaneously to scrape aggregate customer sentiment logs. # Actor input Schema ## `keywords` (type: `string`): Keywords to search for on Etsy. ## `min_price` (type: `integer`): Minimum price filter for the search results. ## `max_price` (type: `integer`): Maximum price filter for the search results. ## `maxItems` (type: `integer`): The maximum item limit. ## Actor input object example ```json { "keywords": "watch", "min_price": 1, "max_price": 2, "maxItems": 20 } ```` # 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 = { "keywords": "watch", "min_price": 1, "max_price": 2, "maxItems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/etsy-product-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 = { "keywords": "watch", "min_price": 1, "max_price": 2, "maxItems": 20, } # Run the Actor and wait for it to finish run = client.actor("getdataforme/etsy-product-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 '{ "keywords": "watch", "min_price": 1, "max_price": 2, "maxItems": 20 }' | apify call getdataforme/etsy-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/etsy-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Etsy Product Scraper Price Filter", "description": "Scrape products from Etsy marketplace placed by sellers based on search results. Etsy product scraper to fetch product details like price, description, product url, images, handmade or not details and almost all information listed for the product. Price filter available", "version": "0.0", "x-build-id": "CoyPI2ixbwrB7zMUC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~etsy-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-etsy-product-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~etsy-product-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-etsy-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~etsy-product-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-etsy-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords", "maxItems" ], "properties": { "keywords": { "title": "Keywords", "type": "string", "description": "Keywords to search for on Etsy." }, "min_price": { "title": "Minimum Price", "type": "integer", "description": "Minimum price filter for the search results." }, "max_price": { "title": "Maximum Price", "type": "integer", "description": "Maximum price filter for the search results." }, "maxItems": { "title": "Max item", "type": "integer", "description": "The maximum item limit." } } }, "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 } } } } } } } } } } ```