# Thumbtack Profile Scraper (`getdataforme/thumbtack-profile-scraper`) Actor Extract comprehensive business profiles from Thumbtack with this Apify Actor. Scrape names, ratings, reviews, locations, and more using reliable Playwright technology. Scalable for multiple URLs, customizable inputs, and delivers structured JSON output.... - **URL**: https://apify.com/getdataforme/thumbtack-profile-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Agents, Lead generation, Other - **Stats:** 14 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.05 / actor start 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 ## Thumbtack Profile Scraper ### Introduction The Thumbtack Profile Scraper is a powerful Apify Actor designed to extract detailed business profile information from Thumbtack, a leading platform connecting customers with local service providers. It automates the collection of key data points such as business names, ratings, reviews, and contact details, enabling users to gather insights efficiently without manual effort. This tool is ideal for businesses, researchers, and marketers seeking to analyze market trends, competitor landscapes, or potential leads in various service industries. ### Features - **Comprehensive Data Extraction**: Scrapes essential profile details including business names, descriptions, ratings, review counts, categories, and location information from Thumbtack profiles. - **High Reliability and Accuracy**: Utilizes PlaywrightCrawler for robust web scraping, ensuring data integrity and handling dynamic content effectively. - **Scalable and Efficient**: Processes multiple URLs concurrently, making it suitable for large-scale data collection with minimal resource overhead. - **Customizable Inputs**: Accepts a list of start URLs, allowing targeted scraping of specific profiles or search results. - **Structured Output**: Delivers clean, JSON-formatted data that's easy to integrate into databases, spreadsheets, or analytics tools. - **Error-Resilient**: Includes built-in handling for common scraping challenges like rate limits and page load issues. - **No Coding Required**: User-friendly interface on Apify Store for quick setup and execution. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | startUrls | array | Yes | An array of URLs to start scraping from. Each URL should point to a Thumbtack profile or search page. | `[{"url": "https://www.thumbtack.com/profile/business-name"}]` | ### Example Usage To run the Thumbtack Profile Scraper, provide the input in JSON format as shown below: ```json { "startUrls": [ { "url": "https://www.thumbtack.com/profile/example-business" } ] } ```` Example output in JSON format: ```json [ { "url": "https://www.thumbtack.com/profile/example-business", "timestamp": "2023-10-15T12:34:56.789Z", "businessName": "Example Plumbing Services", "description": "Reliable plumbing solutions for homes and businesses.", "rating": 4.8, "ratingDisplay": "4.8", "reviewCount": 125, "category": "Plumbing", "searchedService": "Plumbing", "zipSearched": "90210", "city": "Beverly Hills", "state": "CA", "location": "Beverly Hills, CA", "profileUrl": "https://www.thumbtack.com/profile/example-business", "profileImageUrl": "https://example.com/image.jpg", "pageTitle": "Example Plumbing Services - Thumbtack" } ] ``` ### Use Cases - **Market Research**: Analyze competitor profiles to understand pricing, services, and customer feedback in specific industries. - **Lead Generation**: Collect contact information and ratings for potential business partners or clients in local markets. - **Competitive Intelligence**: Monitor rival businesses' performance metrics like ratings and review counts to inform strategic decisions. - **Price Monitoring**: Track service offerings and descriptions to compare pricing across providers. - **Content Aggregation**: Build datasets for blogs, reports, or dashboards on local service trends. - **Academic Research**: Gather data for studies on consumer behavior, service quality, or regional economic patterns. ### Installation and Usage 1. Search for "Thumbtack Profile Scraper" 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 data in JSON array format, with each object representing a scraped profile. Key fields include: - `url`: The source URL scraped. - `timestamp`: ISO timestamp of when the data was collected. - `businessName`: Name of the business. - `description`: Brief business description. - `rating` and `ratingDisplay`: Numerical and display ratings. - `reviewCount`: Number of reviews. - `category`: Service category. - `searchedService`, `zipSearched`, `city`, `state`, `location`: Search and location details. - `profileUrl`: Direct link to the profile. - `profileImageUrl`: URL of the profile image. - `pageTitle`: Title of the scraped page. This structured format ensures easy parsing and integration. ### 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! *** ### PART 2: Concise Description Unlock valuable insights from Thumbtack with our Profile Scraper! Extract business names, ratings, reviews, and locations effortlessly. Features include reliable Playwright-based scraping, scalable URL processing, and structured JSON output. Perfect for market research, lead gen, and competitive analysis. Try it free on Apify Store today! (248 characters) # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://apify.com" } ] } ``` # Actor output Schema ## `overview` (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 = { "startUrls": [ { "url": "https://apify.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/thumbtack-profile-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 = { "startUrls": [{ "url": "https://apify.com" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/thumbtack-profile-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 '{ "startUrls": [ { "url": "https://apify.com" } ] }' | apify call getdataforme/thumbtack-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/thumbtack-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Thumbtack Profile Scraper", "description": "Extract comprehensive business profiles from Thumbtack with this Apify Actor. Scrape names, ratings, reviews, locations, and more using reliable Playwright technology. Scalable for multiple URLs, customizable inputs, and delivers structured JSON output....", "version": "0.0", "x-build-id": "3RfvabMruYq3Si9Oh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~thumbtack-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-thumbtack-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~thumbtack-profile-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-thumbtack-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~thumbtack-profile-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-thumbtack-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```