# Angi Near-Me Scraper (`moving_beacon-owner1/angi-near-me-scraper`) Actor Scrape targeted Angi "Near Me" business listings by category and location. Extract business profiles, ratings, reviews, contact details, service attributes, and addresses with automatic pagination and JSON-LD parsing. Ideal for lead generation, market research, and local service business analysis. - **URL**: https://apify.com/moving\_beacon-owner1/angi-near-me-scraper.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 ## Angi Near-Me Scraper (Apify actor) Targeted scraper for Angi `/nearme//` listing pages. You supply the categories (and optionally a ZIP); it paginates, parses the ProList business cards, merges JSON-LD addresses, and writes one record per business to the dataset. ### Important — scope and terms Scraping Angi is **against Angi's Terms of Service**. This actor is deliberately built for small, targeted runs — specific verticals/locations you have a legitimate need for — not whole-site harvesting: - `categories` is required input; there is no "all categories" mode. - `maxItems` hard-caps every run. - A politeness delay sits between requests. If your use case is bulk or commercial (many categories nationwide), use a licensed data source instead. It is cheaper than the proxy/anti-bot arms race and keeps you on the right side of the terms. ### Input | Field | Type | Default | Notes | |-------|------|---------|-------| | `categories` | string[] | `["Appliance Repair"]` | Display names, e.g. `"Plumbing"`. Slugified to `/nearme//`. | | `zip` | string | – | Optional. `/nearme/` geolocates by IP, so the ZIP may be ignored unless your proxy exits in that region. | | `maxPagesPerCategory` | int | `3` | 10 listings/page. | | `maxItems` | int | `100` | Global hard cap. | | `requestDelaySeconds` | int | `3` | Delay between page fetches. | | `useApifyProxy` | bool | `true` | Apify Proxy, RESIDENTIAL, US. | ### Output One dataset record per business: `name, rating, review_count, review_snippet, profile_url, logo, request_quote, angi_approved, super_service_award, in_business_since, free_estimates, credit_card, emergency, warranties, response_time, neighbors_requested, recommended_pct, street, city, state, zip, category, slug, page, source_url`. # Actor input Schema ## `categories` (type: `array`): Angi category display names to scrape, e.g. "Appliance Repair", "Plumbing". Provide only the verticals you actually need — there is no whole-site mode. ## `zip` (type: `string`): ZIP to bias results toward. Note: /nearme/ pages geolocate by IP, so the ZIP param may be ignored unless paired with a proxy exiting in that region. ## `maxPagesPerCategory` (type: `integer`): Pagination depth per category (10 listings per page). ## `maxItems` (type: `integer`): Global cap on records for the whole run. Keeps runs targeted. ## `requestDelaySeconds` (type: `integer`): Politeness delay between page fetches. ## `useApifyProxy` (type: `boolean`): Route requests through Apify Proxy (RESIDENTIAL, US). ## Actor input object example ```json { "categories": [ "Appliance Repair" ], "maxPagesPerCategory": 3, "maxItems": 100, "requestDelaySeconds": 3, "useApifyProxy": true } ```` # 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": [ "Appliance Repair" ] }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/angi-near-me-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": ["Appliance Repair"] } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/angi-near-me-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": [ "Appliance Repair" ] }' | apify call moving_beacon-owner1/angi-near-me-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/angi-near-me-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Angi Near-Me Scraper", "description": "Scrape targeted Angi \"Near Me\" business listings by category and location. Extract business profiles, ratings, reviews, contact details, service attributes, and addresses with automatic pagination and JSON-LD parsing. Ideal for lead generation, market research, and local service business analysis.", "version": "0.0", "x-build-id": "kYcwb3h8EfvZbE5tM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~angi-near-me-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-angi-near-me-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~angi-near-me-scraper/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-angi-near-me-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~angi-near-me-scraper/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-angi-near-me-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "categories" ], "properties": { "categories": { "title": "Categories", "type": "array", "description": "Angi category display names to scrape, e.g. \"Appliance Repair\", \"Plumbing\". Provide only the verticals you actually need — there is no whole-site mode.", "items": { "type": "string" } }, "zip": { "title": "ZIP code (optional)", "type": "string", "description": "ZIP to bias results toward. Note: /nearme/ pages geolocate by IP, so the ZIP param may be ignored unless paired with a proxy exiting in that region." }, "maxPagesPerCategory": { "title": "Max pages per category", "minimum": 1, "maximum": 25, "type": "integer", "description": "Pagination depth per category (10 listings per page).", "default": 3 }, "maxItems": { "title": "Max items (hard cap)", "minimum": 1, "type": "integer", "description": "Global cap on records for the whole run. Keeps runs targeted.", "default": 100 }, "requestDelaySeconds": { "title": "Delay between requests (seconds)", "minimum": 1, "maximum": 30, "type": "integer", "description": "Politeness delay between page fetches.", "default": 3 }, "useApifyProxy": { "title": "Use Apify US residential proxy", "type": "boolean", "description": "Route requests through Apify Proxy (RESIDENTIAL, US).", "default": true } } }, "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 } } } } } } } } } } ```