# Etsy Poc Spider (`getdataforme/etsy-poc-spider`) Actor Etsy Poc Spider is an Apify Actor that efficiently scrapes comprehensive Etsy shop data, including owner details, locations, descriptions, and social media links. Perfect for market research, competitive intelligence, and business automation.... - **URL**: https://apify.com/getdataforme/etsy-poc-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ### Description Etsy Poc Spider is an Apify Actor that efficiently scrapes comprehensive Etsy shop data, including owner details, locations, descriptions, and social media links. Perfect for market research, competitive intelligence, and business automation.... --- ## Etsy Poc Spider ### Introduction The Etsy Poc Spider is a powerful Apify Actor designed to scrape and extract detailed information from Etsy shop pages. It provides comprehensive data on shop owners, locations, descriptions, social media links, and more, enabling users to gather insights efficiently. This tool is ideal for researchers, marketers, and businesses looking to analyze Etsy marketplaces without manual effort. ### Features - **Comprehensive Data Extraction**: Retrieves detailed shop information including owner details, location, contact info, and social media profiles. - **Batch Processing**: Supports multiple shop inputs in a single run for efficient data collection. - **High Reliability**: Built to handle Etsy's dynamic web structure with robust error handling and retries. - **Structured Output**: Delivers clean, JSON-formatted data ready for analysis or integration. - **Fast Performance**: Optimized for quick scraping with minimal processing time. - **Customizable Inputs**: Flexible configuration to target specific shops or lists. - **Apify Integration**: Seamlessly runs on the Apify platform with easy export options. ### Input Parameters | Parameter | Type | Required | Description | Example | |------------|-------|----------|-------------|---------| | ShopInputs | array | No | An array of Etsy shop usernames or slugs to scrape data from. Each entry should be a valid shop identifier. | ["lindylonghurst", "anotherShop"] | ### Example Usage #### Input JSON ```json { "ShopInputs": ["lindylonghurst"] } ```` #### Output JSON ```json [ { "Owner_Name": "Lindy Longhurst", "Store_URL": "https://www.etsy.com/shop/LindyLonghurst", "Store_Name": "LindyLonghurst", "Store_Location": "Maclean, Australia", "Country": "Australia", "State_or_Region": "NSW", "Store_TimeZone": "need to check it out", "Store_Category": "need to check it out", "Store_Description_Text": "I began painting and drawing some years ago after much travel, exposure to different cultures and spiritual beliefs and a reawakening to nature. \r\nThe influence for my work is based on a strong connection to the earth - to the natural elements, and an exploration into the conscious and subconscious worlds via dreams and meditation.\r\n\r\nAs an artist I have completed several series of works based on mandalas as well as several painted works inspired by images from dreams. I have exhibited in Australia and Europe and my work has been published in magazines in the US and Australia. I have also created many personalised works and welcome commissions. \r\nCurrently I am a full time artist and I have been running my etsy shop since 2006.\r\n\r\nI hope you enjoy my work and thanks for visiting !", "About_Section_Text": "need to check it out", "Email": "need to check it out", "Phone": "need to check it out", "Instagram_URL": "https://instagram.com/lindylonghurst/", "Facebook_URL": "https://www.facebook.com/LindyLonghurst", "Pinterest_URL": null, "TikTok_URL": null, "YouTube_URL": null, "Website_URL": "http://www.lindylonghurst.com", "Website_Domain": "www.lindylonghurst.com", "Has_Website": "Y", "shop_Age": "2006-03-06", "First_Listed_Year": "need to check it out", "Last_Seen_Date": "2026-02-13", "Recent_Activity_Date": "2025-07-14", "Listing_Count": 142, "Listing_With_Video_Count": "need to check it out", "Processing_Time_Days": 5, "actor_id": "RHUJCgrZ3LWMHf00b", "run_id": "aK9PJqN93hbBwCbld" } ] ``` ### Use Cases - **Market Research**: Analyze trends in Etsy shops by collecting data on categories, locations, and descriptions. - **Competitive Intelligence**: Monitor competitors' shop details, social media presence, and listing counts. - **Price Monitoring**: Gather insights on shop ages and activity dates to inform pricing strategies. - **Content Aggregation**: Compile shop descriptions and links for content creation or SEO analysis. - **Academic Research**: Study e-commerce patterns by extracting demographic and operational data from shops. - **Business Automation**: Automate data collection for lead generation or supplier discovery in the handmade goods market. ### Installation and Usage 1. Search for "Etsy Poc Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The Actor outputs a JSON array of objects, each representing a scraped Etsy shop. Key fields include owner name, store URL, location details (country, state), description text, social media URLs (Instagram, Facebook, etc.), website information, shop age, listing counts, and metadata like actor and run IDs. Fields marked as "need to check it out" indicate data that may require further verification or updates. The output is structured for easy parsing and integration into databases or analysis tools. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `ShopInputs` (type: `array`): The shop inputs for the spider. ## Actor input object example ```json { "ShopInputs": [ "lindylonghurst" ] } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/etsy-poc-spider").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 = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/etsy-poc-spider").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 '{}' | apify call getdataforme/etsy-poc-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/etsy-poc-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Etsy Poc Spider", "description": "Etsy Poc Spider is an Apify Actor that efficiently scrapes comprehensive Etsy shop data, including owner details, locations, descriptions, and social media links. Perfect for market research, competitive intelligence, and business automation....", "version": "0.0", "x-build-id": "mEdKCRDDgu9mTbjTc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~etsy-poc-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-etsy-poc-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~etsy-poc-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-etsy-poc-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~etsy-poc-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-etsy-poc-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "ShopInputs": { "title": "Shop Inputs", "type": "array", "description": "The shop inputs for the spider.", "default": [ "lindylonghurst" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```