# Angi (Angie's List) Pro Directory Scraper (`jungle_synthesizer/angies-list-angi-pro-directory-scraper`) Actor Scrape the Angi pro directory for service-pros by ZIP and category. Returns business name, service categories, service-area ZIPs, rating, review count, certified flag, Super Service Award, address, phone, and website. For home-services SaaS, contractor CRMs, and competitive intel. - **URL**: https://apify.com/jungle\_synthesizer/angies-list-angi-pro-directory-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation, Business, Other - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Angi (Angie's List) Pro Directory Scraper Scrape the Angi pro directory for home-service professionals by ZIP code and service category. Returns business name, service categories, service-area ZIPs, rating, review count, certified status, Super Service Award, address, phone, and website for each pro. ### What it does - **Catalog mode** — walks Angi's `pro_profile` leaf sitemaps (~1.38 million profiles across 69 shards) and scrapes profiles matching optional ZIP and category filters. - **Pro detail mode** — scrapes a list of specific Angi pro URLs you supply directly. Data is extracted from Angi's embedded Next.js `__NEXT_DATA__` JSON block, with DOM-selector fallbacks for redesigned pages. ### Use cases - Home-services SaaS and contractor CRM enrichment - Lead generation for HVAC, plumbing, electrical, roofing, and other trades - Competitive intelligence on local service providers - Rating and review monitoring across markets ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | string | `catalog` (default) or `pro_detail` | | `maxItems` | integer | Maximum number of pros to return (0 = unlimited) | | `zipCodes` | array | Filter pros by service area ZIP codes (catalog mode) | | `category` | string | Filter by service category slug (catalog mode, e.g. `plumbing`) | | `certifiedOnly` | boolean | Return only Angi-certified pros | | `proUrls` | array | Specific Angi pro URLs to scrape (pro_detail mode) | | `proxyConfiguration` | object | Proxy settings — residential proxy recommended | ### Output Each record contains: | Field | Description | |-------|-------------| | `pro_id` | Angi provider ID | | `business_name` | Company name | | `angi_url` | Angi profile URL | | `service_categories` | Comma-separated service categories | | `description` | Business description | | `phone` | Contact phone number | | `address` | Street address | | `city` | City | | `state` | State (2-letter code) | | `zip` | ZIP code | | `service_area_zips` | Comma-separated service area ZIP codes | | `rating` | Average rating (0-5) | | `reviews_count` | Number of reviews | | `certified` | Angi-certified status | | `founded_year` | Year business was founded | | `employees_range` | Employee count range | | `super_service_award` | Super Service Award recipient | | `awards` | Other awards | | `hours` | Business hours | | `email` | Contact email | | `website` | Business website | ### Notes - Angi profile pages are Cloudflare-protected. This actor uses residential proxies and real browser rendering to bypass the WAF — datacenter proxies will be blocked. - Sitemap-based discovery starts from Angi's `leaf-sitemap-index.xml` (no proxy needed for sitemap fetches). - For large catalog runs, set `maxItems` to control scope. Each shard covers approximately 10,000 profiles. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `mode` (type: `string`): Catalog crawl via pro_profile sitemap, or scrape specific pro URLs. ## `zipCodes` (type: `array`): Filter catalog to pros serving these ZIP codes. Leave empty to crawl all. ## `category` (type: `string`): Filter by Angi service category slug (e.g. 'plumbing', 'electrical', 'hvac'). Leave blank for all. ## `proUrls` (type: `array`): Specific Angi pro profile URLs to scrape (used in pro_detail mode). ## `certifiedOnly` (type: `boolean`): Only return pros with Angi-certified status. ## `maxItems` (type: `integer`): Maximum number of pro records to return. 0 = unlimited. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "catalog", "zipCodes": [ "10001", "94103", "60601" ], "category": "", "proUrls": [], "certifiedOnly": false, "maxItems": 10 } ```` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "catalog", "zipCodes": [ "10001", "94103", "60601" ], "category": "", "proUrls": [], "certifiedOnly": false, "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/angies-list-angi-pro-directory-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "catalog", "zipCodes": [ "10001", "94103", "60601", ], "category": "", "proUrls": [], "certifiedOnly": False, "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/angies-list-angi-pro-directory-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "catalog", "zipCodes": [ "10001", "94103", "60601" ], "category": "", "proUrls": [], "certifiedOnly": false, "maxItems": 10 }' | apify call jungle_synthesizer/angies-list-angi-pro-directory-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/angies-list-angi-pro-directory-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Angi (Angie's List) Pro Directory Scraper", "description": "Scrape the Angi pro directory for service-pros by ZIP and category. Returns business name, service categories, service-area ZIPs, rating, review count, certified flag, Super Service Award, address, phone, and website. For home-services SaaS, contractor CRMs, and competitive intel.", "version": "0.1", "x-build-id": "GggfSHjcKmzqjFDUc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~angies-list-angi-pro-directory-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-angies-list-angi-pro-directory-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/jungle_synthesizer~angies-list-angi-pro-directory-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-angies-list-angi-pro-directory-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/jungle_synthesizer~angies-list-angi-pro-directory-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-angies-list-angi-pro-directory-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": [ "sp_intended_usage", "sp_improvement_suggestions" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "mode": { "title": "Mode", "enum": [ "catalog", "pro_detail" ], "type": "string", "description": "Catalog crawl via pro_profile sitemap, or scrape specific pro URLs.", "default": "catalog" }, "zipCodes": { "title": "ZIP Codes", "type": "array", "description": "Filter catalog to pros serving these ZIP codes. Leave empty to crawl all.", "items": { "type": "string" } }, "category": { "title": "Service Category", "type": "string", "description": "Filter by Angi service category slug (e.g. 'plumbing', 'electrical', 'hvac'). Leave blank for all.", "default": "" }, "proUrls": { "title": "Pro URL(s)", "type": "array", "description": "Specific Angi pro profile URLs to scrape (used in pro_detail mode).", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "certifiedOnly": { "title": "Certified / Verified Pros Only", "type": "boolean", "description": "Only return pros with Angi-certified status.", "default": false }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of pro records to return. 0 = unlimited.", "default": 10 } } }, "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 } } } } } } } } } } ```