# Lead Enricher: Emails, Phones & Socials from Any URL (`aitorsm/lead-enricher`) Actor Turn any list of business URLs — websites and Facebook Pages mixed — into one clean contact record each: emails, phones, and social profiles, auto-routed and deduped. No source-sorting, no per-credit fees. Built for sales, BD, and outbound teams turning scraped lists into outreach-ready leads. - **URL**: https://apify.com/aitorsm/lead-enricher.md - **Developed by:** [Aitor Sanchez-Mansilla](https://apify.com/aitorsm) (community) - **Categories:** Lead generation, Automation, AI - **Stats:** 2 total users, 1 monthly users, 87.5% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $60.00 / 1,000 enriched leads 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Lead Enricher — Websites & Facebook Pages → Emails, Phones, Socials **Give it any list of business URLs — websites *and* Facebook Pages, mixed — and get back one clean, unified contact record per URL:** emails, phones, social links, website, and (for Pages) followers and intro. Each URL is auto-routed to the right extractor, so you don't have to sort your list first. Most enrichment tools make you pick a source and pay per credit. This takes a raw, mixed list of URLs and returns deduped contacts in one pass — ideal for turning a scraped org/venue/agency/prospect list into an outreach-ready sheet. ### What it does - **Auto-routes every URL.** A `facebook.com/...` Page → the Facebook extractor; any other website/domain → the website contact extractor. You just paste URLs. - **Unified output.** One consistent record per input URL — no reconciling two different formats. - **Deep website scan.** For websites, optionally also checks `/contact`, `/contact-us`, and `/about` for a much higher hit rate. - **Emails, phones, socials** — plus website + follower count + intro for Facebook Pages. ### Output (one row per URL) `input_url`, `source` (website / facebook), `website`, `emails[]`, `phones[]`, `socials{}`, `other_urls[]`, `followers`, `intro`. ### Use cases - **Enrich a scraped lead list** — feed organizer/venue/agency/company URLs and get contactable rows for your CRM or outreach. - **Mixed sources, one run** — some prospects only have a website, others only a Facebook Page; handle both without splitting the list. - **Agent / MCP workflows** — a single "URL → contacts" tool an AI agent can call to enrich a company on the fly. ### Input - **urls** *(required)* — website and/or Facebook Page URLs, mixed. - **crawlContactPages** — also scan `/contact` and `/about` on websites (recommended). - **proxyConfiguration** — optional, passed to the Facebook extractor. ### Pricing Pay-per-result, billed per enriched record. Underlying website and Facebook extraction is included in the run. ### Support Questions or a custom enrichment workflow? **business@aitorsm.com** # Actor input Schema ## `urls` (type: `array`): Business URLs to enrich. Mix freely: website/domain URLs are scanned for contacts, and facebook.com Page URLs are routed to the Facebook extractor. You get one unified contact record per URL. ## `crawlContactPages` (type: `boolean`): For website URLs, also fetch same-domain /contact, /contact-us, and /about pages to find more emails/phones. Slightly slower, much higher hit rate. ## `maxConcurrency` (type: `integer`): How many pages the underlying extractors fetch in parallel. ## `contactActorId` (type: `string`): Actor used for website/domain URLs. ## `facebookActorId` (type: `string`): Primary actor for facebook.com Page URLs. Defaults to the official apify/facebook-pages-scraper (cheaper, reliable, handles Profiles). ## `facebookFallbackActorId` (type: `string`): Optional. Retry Facebook Page URLs here when the primary returns no email/phone/website. Empty = no fallback (default). ## `proxyConfiguration` (type: `object`): Optional proxy passed to the Facebook extractor. Website extraction runs without a proxy. ## Actor input object example ```json { "urls": [ "https://acme.com", "https://www.facebook.com/SomeBusiness" ], "crawlContactPages": true, "maxConcurrency": 10, "contactActorId": "aitorsm/email-extractor", "facebookActorId": "apify/facebook-pages-scraper", "facebookFallbackActorId": "" } ```` # 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 = { "urls": [ "https://gathersignal.io", "https://apify.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("aitorsm/lead-enricher").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 = { "urls": [ "https://gathersignal.io", "https://apify.com", ] } # Run the Actor and wait for it to finish run = client.actor("aitorsm/lead-enricher").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 '{ "urls": [ "https://gathersignal.io", "https://apify.com" ] }' | apify call aitorsm/lead-enricher --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aitorsm/lead-enricher", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Lead Enricher: Emails, Phones & Socials from Any URL", "description": "Turn any list of business URLs — websites and Facebook Pages mixed — into one clean contact record each: emails, phones, and social profiles, auto-routed and deduped. No source-sorting, no per-credit fees. Built for sales, BD, and outbound teams turning scraped lists into outreach-ready leads.", "version": "0.0", "x-build-id": "GxGrgyfbtxgImSAtg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aitorsm~lead-enricher/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aitorsm-lead-enricher", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aitorsm~lead-enricher/runs": { "post": { "operationId": "runs-sync-aitorsm-lead-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aitorsm~lead-enricher/run-sync": { "post": { "operationId": "run-sync-aitorsm-lead-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "URLs (websites and/or Facebook Pages)", "type": "array", "description": "Business URLs to enrich. Mix freely: website/domain URLs are scanned for contacts, and facebook.com Page URLs are routed to the Facebook extractor. You get one unified contact record per URL.", "items": { "type": "string" } }, "crawlContactPages": { "title": "Also scan /contact and /about pages", "type": "boolean", "description": "For website URLs, also fetch same-domain /contact, /contact-us, and /about pages to find more emails/phones. Slightly slower, much higher hit rate.", "default": true }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many pages the underlying extractors fetch in parallel.", "default": 10 }, "contactActorId": { "title": "Website extractor actor", "type": "string", "description": "Actor used for website/domain URLs.", "default": "aitorsm/email-extractor" }, "facebookActorId": { "title": "Facebook Pages extractor actor", "type": "string", "description": "Primary actor for facebook.com Page URLs. Defaults to the official apify/facebook-pages-scraper (cheaper, reliable, handles Profiles).", "default": "apify/facebook-pages-scraper" }, "facebookFallbackActorId": { "title": "Facebook fallback actor", "type": "string", "description": "Optional. Retry Facebook Page URLs here when the primary returns no email/phone/website. Empty = no fallback (default).", "default": "" }, "proxyConfiguration": { "title": "Proxy (for Facebook Pages)", "type": "object", "description": "Optional proxy passed to the Facebook extractor. Website extraction runs without a proxy." } } }, "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 } } } } } } } } } } ```