# Thumbtack Local Service Pros Scraper (`cryptosignals/thumbtack-scraper`) Actor Extract local service provider profiles from Thumbtack. Get pro name, services, location, ratings, review count, hire count, and contact info. Ideal for lead generation and local services research. PPE pricing — pay only for results. - **URL**: https://apify.com/cryptosignals/thumbtack-scraper.md - **Developed by:** [Web Data Labs](https://apify.com/cryptosignals) (community) - **Categories:** Lead generation - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Local Service Pros Scraper Scrape local service professionals from Thumbtack by service query and location. Returns structured pro data ideal for lead generation, contractor research, and local market analysis. ### Why This Is Hard Thumbtack pages are heavily JavaScript-rendered with anti-bot fingerprinting, lazy-loaded result tiles, and frequently rotating layouts. Building a reliable scraper means juggling residential proxies, browser fingerprint randomization, and handling layout drift across categories and metros. This actor abstracts all of that — you give it a query and a city, you get clean JSON. ### Input ```json { "query": "plumber", "location": "New York, NY", "maxResults": 20 } ```` | Field | Type | Description | |------|------|-------------| | `query` | string | Service keyword (e.g. `plumber`, `electrician`, `house cleaning`). Required. | | `location` | string | `City, State` (e.g. `Austin, TX`). Required. | | `maxResults` | int | 1–100. Default 20. Free Apify plans capped at 5. | ### Output ```json { "name": "ABC Plumbing & Heating", "service": "Emergency Plumbing", "rating": 4.9, "reviewCount": 142, "priceGuide": "$95–$180/hr", "yearsInBusiness": 12, "location": "Brooklyn, NY", "hiredCount": 287, "profileUrl": "https://www.thumbtack.com/ny/brooklyn/plumbing/abc-plumbing/...", "scrapedAt": "2026-04-30T12:34:56.789Z" } ``` ### Use Cases - **Lead generation** for service-pro outreach (SaaS, supplies, insurance). - **Local market analysis** — pricing density, competition, average ratings by metro. - **Contractor sourcing** for home renovation, real estate, property management. - **Directory enrichment** — bootstrap a niche local directory with rated pros. - **Trend tracking** — monitor pricing & demand across cities over time. ### Pricing Pay-per-event: **$0.01 per pro returned**. No subscription, no monthly minimum. You only pay for results delivered. ### Quick Start 1. Open the actor in Apify Console 2. Enter your service query and location 3. Run — results stream into the dataset 4. Export as JSON / CSV / Excel, or pipe to your warehouse via the Apify API ### Notes - US locations recommended (Thumbtack is US-only). - Run frequency limited by residential proxy budget. - Layout changes may briefly affect specific fields — name + rating + profileUrl are most stable. # Actor input Schema ## `query` (type: `string`): Service keyword (e.g. 'plumber', 'electrician', 'house cleaning') ## `location` (type: `string`): City, State (e.g. 'New York, NY', 'Austin, TX') ## `maxResults` (type: `integer`): Maximum number of pros to scrape (1-100). Free Apify plans capped at 5. ## Actor input object example ```json { "query": "plumber", "location": "New York, NY", "maxResults": 20 } ``` # Actor output Schema ## `dataset` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("cryptosignals/thumbtack-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("cryptosignals/thumbtack-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 '{}' | apify call cryptosignals/thumbtack-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=cryptosignals/thumbtack-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Thumbtack Local Service Pros Scraper", "description": "Extract local service provider profiles from Thumbtack. Get pro name, services, location, ratings, review count, hire count, and contact info. Ideal for lead generation and local services research. PPE pricing — pay only for results.", "version": "1.0", "x-build-id": "csQY8PDa9fQ6a1drn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cryptosignals~thumbtack-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cryptosignals-thumbtack-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/cryptosignals~thumbtack-scraper/runs": { "post": { "operationId": "runs-sync-cryptosignals-thumbtack-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/cryptosignals~thumbtack-scraper/run-sync": { "post": { "operationId": "run-sync-cryptosignals-thumbtack-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "location" ], "properties": { "query": { "title": "Service Query", "type": "string", "description": "Service keyword (e.g. 'plumber', 'electrician', 'house cleaning')", "default": "plumber" }, "location": { "title": "Location", "type": "string", "description": "City, State (e.g. 'New York, NY', 'Austin, TX')", "default": "New York, NY" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of pros to scrape (1-100). Free Apify plans capped at 5.", "default": 20 } } }, "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 } } } } } } } } } } ```