# Angi Scraper - US Home Service Pros & Contractors (`haketa/angi-scraper`) Actor Angi (Angie's List) scraper & data API: find US home-service pros & contractors by category and city — export business name, category, phone, full address, rating, review count, reviews, years in business & verification. Home-services lead generation & local market research — fast. - **URL**: https://apify.com/haketa/angi-scraper.md - **Developed by:** [Haketa](https://apify.com/haketa) (community) - **Categories:** Lead generation, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Scraper — US Home-Service Pros, Contractors & Reviews Extract **US home-service professionals and contractors** from Angi (formerly Angie's List) at scale. Search by service category and city — plumbers, electricians, roofers, HVAC, cleaners, landscapers, and more — and export clean, structured data: **business name, category, phone, full address, rating, review count, verification status, and description**. No login. Just give it a category and a location, and get back a ready-to-use dataset in JSON, CSV, Excel, or via API. > Built for home-services lead generation, contractor outreach, and local market research. Pairs perfectly with contractor-license data for full verification + reputation coverage. --- ### 🧭 Table of contents - [What this scraper does](#what-this-scraper-does) - [Why use it](#why-use-it) - [Who it's for](#who-its-for) - [What data you get](#what-data-you-get) - [Input options](#input-options) - [Input examples](#input-examples) - [Output example](#output-example) - [How to use (step by step)](#how-to-use-step-by-step) - [Tips for best results](#tips-for-best-results) - [Use cases](#use-cases) - [Integrations & export](#integrations--export) - [Pricing](#pricing) - [FAQ](#faq) --- ### What this scraper does Angi is one of the largest US directories of home-service professionals. This actor turns its listings into structured data you can act on. Give it one or more **service categories** (e.g. `plumbing`, `electrician`, `roofing`) and **locations** (e.g. `ny/new-york`, `ca/los-angeles`), and it collects the matching pros — each with contact details, rating, review count, and verification status. You can also paste Angi listing or company URLs directly. --- ### Why use it - ⚡ **Reliable at scale** — built to handle Angi's protections and page reliably through results. - 📞 **Contact-ready** — business name, phone, and full address for outreach and CRM import. - ⭐ **Reputation data** — rating, review count, and verification status per pro. - 🧱 **Flexible inputs** — search by category + location, or paste Angi URLs directly. - 🏗️ **Pairs with license data** — combine reputation (Angi) with licensing (state boards) for full vetting. - 📦 **Export anywhere** — JSON, CSV, Excel, HTML table, or RSS, plus a full REST API and integrations. --- ### Who it's for - **Home-services lead-gen** building contractor and pro contact lists by trade and city. - **SaaS & marketplaces** onboarding or enriching service-provider data. - **Sales teams** targeting contractors with tools, insurance, materials, or financing. - **Market researchers** analyzing pro density, ratings, and competition by metro. - **Agencies** auditing local listings and reputation for clients. --- ### What data you get Each pro includes (when available): | Field | Description | | --- | --- | | `businessName` | Company / pro name | | `url` | Angi profile URL | | `category` | Service category | | `phone` | Phone number | | `address` | Street address | | `city` | City | | `state` | State | | `zip` | ZIP / postal code | | `country` | Country | | `rating` | Average star rating | | `reviewCount` | Number of reviews | | `bestRating` | Maximum rating scale | | `yearsInBusiness` | Years in business (when listed) | | `isVerified` | Whether the pro is verified | | `description` | Business description | | `image` | Profile / logo image | | `scrapedAt` | When the record was scraped | --- ### Input options | Option | Type | Description | | --- | --- | --- | | `categories` | array | Service category slugs (e.g. `plumbing`, `electrician`, `roofing`). | | `locations` | array | `state/city` slugs (e.g. `ny/new-york`, `ca/los-angeles`). | | `startUrls` | array | Angi listing or company URLs to scrape directly. | | `maxPagesPerList` | integer | Result pages to paginate per category+location (default: 3). | | `maxItems` | integer | Maximum pros to save (0 = no limit). | | `maxConcurrency` | integer | Parallel profile requests (default: 5). | | `proxyConfiguration` | object | US residential proxy required (default provided). | --- ### Input examples #### 1. Plumbers in a city ```json { "categories": ["plumbing"], "locations": ["ny/new-york"], "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ```` #### 2. Multiple trades across multiple cities ```json { "categories": ["plumbing", "electrician", "roofing"], "locations": ["ca/los-angeles", "tx/houston", "il/chicago"], "maxPagesPerList": 5, "maxItems": 1000, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ``` #### 3. From Angi URLs ```json { "startUrls": [ "https://www.angi.com/companylist/us/ny/new-york/plumbing.htm" ] } ``` *** ### Output example ```json { "businessName": "Trejos Plumbing & Rooter", "url": "https://www.angi.com/companylist/us/ca/canoga-park/trejos-plumbing-rooter-reviews-1.htm", "category": "plumbing", "phone": "8183210915", "city": "Canoga Park", "state": "CA", "zip": "91303", "country": "United States", "rating": 5, "reviewCount": 4, "bestRating": 5, "isVerified": true, "description": "All American Plumbing is committed to excellence ...", "scrapedAt": "2026-06-09T10:00:00.000Z" } ``` *** ### How to use (step by step) 1. Open the actor and click **Try for free**. 2. Add **categories** (e.g. `plumbing`) and **locations** (e.g. `ny/new-york`). 3. Set **Max pages per listing** and **Max items** to control how many pros you collect. 4. Keep the **US residential proxy** (required). 5. Click **Save & Start**. 6. When the run finishes, open the **Dataset** tab and export to JSON, CSV, or Excel, or pull it via API. *** ### Tips for best results - **Location format is `state/city`.** Use the two-letter state abbreviation and a hyphenated city, e.g. `ny/new-york`, `ca/los-angeles`, `tx/houston`. - **Category slugs are hyphenated.** Examples: `plumbing`, `electrician`, `roofing`, `hvac`, `house-cleaning`, `landscaping`, `pest-control`. - **Keep the US residential proxy** — it's required for reliable access. - **Moderate concurrency** keeps runs stable; raise it gradually if needed. - **Combine with contractor-license data** for full vetting (reputation + licensing). *** ### Use cases - 🧲 **Lead generation** — build contractor contact lists (name, phone, city) by trade and metro. - 🤝 **Sales prospecting** — target pros for tools, insurance, materials, software, or financing. - 📊 **Market research** — analyze pro density, ratings, and competition across cities. - ✅ **Vetting & verification** — combine Angi reputation with license data for due diligence. - 🤖 **AI & data products** — feed structured home-services data into apps and assistants. *** ### Integrations & export Export as **JSON, CSV, Excel, HTML table, or RSS**, or fetch results through the **API**. Connect to **Make, Zapier, n8n, Google Sheets, Slack, GitHub**, and more, or schedule runs to keep your dataset fresh. *** ### Pricing This actor runs on a simple pay-per-result model — you only pay for the pros you collect. Start small with the free tier and scale up as needed. *** ### FAQ **How do I specify a location?** As `state/city`, using the two-letter state code and a hyphenated city name, e.g. `ny/new-york`. **Which categories can I use?** Any Angi home-service category slug — `plumbing`, `electrician`, `roofing`, `hvac`, `house-cleaning`, `landscaping`, `pest-control`, and many more. **Do I get phone numbers?** Yes — phone numbers are included when listed, making this ideal for lead generation. **Do I need an account?** No login is required. A US residential proxy is required and provided by default. **How many pros can I scrape?** As many as your categories and locations return — increase `maxPagesPerList` and `maxItems` to collect more. **Can I scrape specific companies?** Yes — paste their Angi URLs into `startUrls`. **Why is a US residential proxy required?** Angi serves its listings to US visitors; a US residential proxy ensures reliable access. The default is preconfigured. *** Need another home-services data source or a custom field? Open an issue on the actor's **Issues** tab — feedback and feature requests are welcome. # Actor input Schema ## `categories` (type: `array`): Home-service category slugs to scrape, e.g. plumbing, electrician, roofing, hvac, house-cleaning, landscaping. Combined with each location. ## `locations` (type: `array`): Locations as state-abbreviation/city-slug, e.g. ny/new-york, ca/los-angeles, tx/houston. Combined with each category. ## `startUrls` (type: `array`): Angi listing or pro-profile URLs to scrape directly (e.g. a category list page or a company page). ## `maxPagesPerList` (type: `integer`): How many result pages to paginate per category+location listing. ## `maxItems` (type: `integer`): Maximum number of pros to save. 0 = no limit. ## `maxConcurrency` (type: `integer`): Maximum parallel profile requests. Keep low (3-4) — Angi rate-limits bursts. ## `proxyConfiguration` (type: `object`): Angi requires a US residential proxy. Keep the default unless you supply your own US residential proxy. ## Actor input object example ```json { "categories": [ "plumbing", "electrician" ], "locations": [ "ny/new-york", "ca/los-angeles" ], "maxPagesPerList": 3, "maxItems": 100, "maxConcurrency": 3, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `pros` (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 = { "categories": [ "plumbing" ], "locations": [ "ny/new-york" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("haketa/angi-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 = { "categories": ["plumbing"], "locations": ["ny/new-york"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("haketa/angi-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 '{ "categories": [ "plumbing" ], "locations": [ "ny/new-york" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call haketa/angi-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=haketa/angi-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Angi Scraper - US Home Service Pros & Contractors", "description": "Angi (Angie's List) scraper & data API: find US home-service pros & contractors by category and city — export business name, category, phone, full address, rating, review count, reviews, years in business & verification. Home-services lead generation & local market research — fast.", "version": "0.1", "x-build-id": "dBOYFkqRgd08LvahM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/haketa~angi-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-haketa-angi-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/haketa~angi-scraper/runs": { "post": { "operationId": "runs-sync-haketa-angi-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/haketa~angi-scraper/run-sync": { "post": { "operationId": "run-sync-haketa-angi-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "categories": { "title": "Service categories", "type": "array", "description": "Home-service category slugs to scrape, e.g. plumbing, electrician, roofing, hvac, house-cleaning, landscaping. Combined with each location.", "items": { "type": "string" } }, "locations": { "title": "Locations (state/city)", "type": "array", "description": "Locations as state-abbreviation/city-slug, e.g. ny/new-york, ca/los-angeles, tx/houston. Combined with each category.", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Angi listing or pro-profile URLs to scrape directly (e.g. a category list page or a company page).", "items": { "type": "string" } }, "maxPagesPerList": { "title": "Max pages per listing", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many result pages to paginate per category+location listing.", "default": 3 }, "maxItems": { "title": "Max items", "type": "integer", "description": "Maximum number of pros to save. 0 = no limit.", "default": 100 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 8, "type": "integer", "description": "Maximum parallel profile requests. Keep low (3-4) — Angi rate-limits bursts.", "default": 3 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Angi requires a US residential proxy. Keep the default unless you supply your own US residential proxy.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```