# Website Contact & Email Scraper (`foo121/website-contact-scraper`) Actor Extract emails, phone numbers and social links from any list of websites — with contact-page crawling and email validation. Bulk B2B lead enrichment, pay per result. - **URL**: https://apify.com/foo121/website-contact-scraper.md - **Developed by:** [ziv shay](https://apify.com/foo121) (community) - **Categories:** Lead generation, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $3.00 / 1,000 result items 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 ## Website Contact & Email Scraper Extract **emails, phone numbers and social links** from any list of websites — with contact-page crawling, a **JS-render fallback** for SPA sites, and **email validation**. Built for bulk B2B lead enrichment. Pay per result. ### What it does Give it a list of websites (plain URLs, bare domains, or objects with a `url`/`website` field). For each site it: 1. Fetches the homepage. 2. Optionally crawls common contact pages (`/contact`, `/contact-us`, `/about`, `/about-us`). 3. Extracts every email, phone number and social profile — **LinkedIn, Facebook, Twitter/X, Instagram, YouTube, TikTok, Telegram, WhatsApp, GitHub and Pinterest** — from `mailto:`/`tel:` links, visible text, **and inline JSON/JSON-LD** (many sites only ship their socials inside a Next.js data blob, which an anchor-only scraper misses). 4. **Validates** each email (syntax), tags role (`info@`, `sales@`) and `no-reply` addresses, and can drop them on request. 5. **JS-render fallback**: when a homepage is an empty single-page-app shell, it re-fetches with a full browser profile to recover contacts the plain crawler would miss. One row is pushed per website → pay-per-result ready, export to CSV/JSON/Excel. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `startUrls` | array (required) | — | Websites to scrape. URLs, bare domains, or `{ url }` objects. | | `crawlContactPages` | boolean | `true` | Also fetch contact/about pages. | | `contactPaths` | array | `/contact, /contact-us, /about, /about-us` | Extra relative paths to probe. | | `dropRoleEmails` | boolean | `false` | Exclude role + no-reply addresses, keep personal only. | | `renderJs` | boolean | `true` | Browser-profile retry for JS-rendered/SPA homepages. | | `maxConcurrency` | integer | `10` | Sites crawled in parallel. | | `requestTimeoutSecs` | integer | `20` | Per-page fetch timeout. | | `proxyConfiguration` | object | Apify Proxy | Outbound proxy. | ### Output (one row per site) ```json { "website": "https://acme.com", "domain": "acme.com", "emails": ["jane@acme.com", "info@acme.com"], "emailDetails": [ { "email": "jane@acme.com", "type": "personal", "valid": true }, { "email": "info@acme.com", "type": "role", "valid": true } ], "phones": ["+15125550123"], "linkedin": "https://linkedin.com/company/acme", "facebook": null, "twitter": "https://x.com/acme", "instagram": null, "youtube": "https://www.youtube.com/acme", "tiktok": null, "telegram": null, "whatsapp": null, "github": null, "pinterest": null, "hasEmail": true, "hasPhone": true, "emailCount": 2, "phoneCount": 1, "pagesScanned": 3, "jsFallbackUsed": false, "status": "scraped", "error": null, "scrapedAt": "2026-06-20T00:00:00.000Z" } ```` `status` is one of `scraped`, `no_contacts_found`, `unreachable`, `error` — so a single bad site never breaks the run. ### Notes on accuracy Social detection is **host-anchored** (parses each link's host) rather than naive substring matching, so a URL like `measure-ux.com` is never mis-tagged as Twitter/X — a class of false positive that simple `.includes("x.com")` scrapers produce. The biggest entrenched incumbent in this category is very strong (15+ platforms, optional paid email verification); this actor is the cheaper, no-add-on option with solid 10-platform coverage, the JSON-blob fallback above, and per-email role/no-reply typing for clean segmentation. # Actor input Schema ## `startUrls` (type: `array`): List of websites to scrape for contact details. You can paste plain URLs or bare domains (e.g. "https://acme.com" or "acme.com"), or objects that contain a `url`/`website` field (e.g. the output of another scraper). Each entry produces ONE row in the dataset. ## `crawlContactPages` (type: `boolean`): Also fetch common contact pages (/contact, /contact-us, /about, /about-us) in addition to the homepage to find more emails and phones. ## `contactPaths` (type: `array`): Relative paths probed on each site (in addition to the homepage) when contact-page crawling is enabled. ## `dropRoleEmails` (type: `boolean`): If enabled, role-based addresses (info@, sales@, support@…) and no-reply addresses are excluded, keeping only personal-looking emails. Default keeps everything and flags the type. ## `renderJs` (type: `boolean`): If a static fetch returns an empty/app-shell page (JS-rendered SPA) with no contacts, retry with a browser-like fetch profile to recover emails the plain crawler would miss. ## `maxConcurrency` (type: `integer`): How many sites to crawl in parallel. ## `requestTimeoutSecs` (type: `integer`): Abort a single page fetch after this many seconds. A slow or dead site never stalls the run. ## `proxyConfiguration` (type: `object`): Proxy used for outbound requests. Apify Residential or Datacenter proxy is recommended for scale and to avoid rate limits. ## Actor input object example ```json { "startUrls": [ "https://www.apify.com", "example.com", { "url": "https://example.org" } ], "crawlContactPages": true, "contactPaths": [ "/contact", "/contact-us", "/about", "/about-us" ], "dropRoleEmails": false, "renderJs": true, "maxConcurrency": 10, "requestTimeoutSecs": 20, "proxyConfiguration": { "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 = { "startUrls": [ "https://www.apify.com", "example.com", { "url": "https://example.org" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("foo121/website-contact-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 = { "startUrls": [ "https://www.apify.com", "example.com", { "url": "https://example.org" }, ] } # Run the Actor and wait for it to finish run = client.actor("foo121/website-contact-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 '{ "startUrls": [ "https://www.apify.com", "example.com", { "url": "https://example.org" } ] }' | apify call foo121/website-contact-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=foo121/website-contact-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact & Email Scraper", "description": "Extract emails, phone numbers and social links from any list of websites — with contact-page crawling and email validation. Bulk B2B lead enrichment, pay per result.", "version": "1.0", "x-build-id": "rL6tNA0td7DjIXtAF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/foo121~website-contact-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-foo121-website-contact-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/foo121~website-contact-scraper/runs": { "post": { "operationId": "runs-sync-foo121-website-contact-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/foo121~website-contact-scraper/run-sync": { "post": { "operationId": "run-sync-foo121-website-contact-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Websites to scrape", "type": "array", "description": "List of websites to scrape for contact details. You can paste plain URLs or bare domains (e.g. \"https://acme.com\" or \"acme.com\"), or objects that contain a `url`/`website` field (e.g. the output of another scraper). Each entry produces ONE row in the dataset." }, "crawlContactPages": { "title": "Crawl contact pages", "type": "boolean", "description": "Also fetch common contact pages (/contact, /contact-us, /about, /about-us) in addition to the homepage to find more emails and phones.", "default": true }, "contactPaths": { "title": "Extra contact paths to crawl", "type": "array", "description": "Relative paths probed on each site (in addition to the homepage) when contact-page crawling is enabled.", "default": [ "/contact", "/contact-us", "/about", "/about-us" ], "items": { "type": "string" } }, "dropRoleEmails": { "title": "Drop role / no-reply emails", "type": "boolean", "description": "If enabled, role-based addresses (info@, sales@, support@…) and no-reply addresses are excluded, keeping only personal-looking emails. Default keeps everything and flags the type.", "default": false }, "renderJs": { "title": "JS-render fallback", "type": "boolean", "description": "If a static fetch returns an empty/app-shell page (JS-rendered SPA) with no contacts, retry with a browser-like fetch profile to recover emails the plain crawler would miss.", "default": true }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many sites to crawl in parallel.", "default": 10 }, "requestTimeoutSecs": { "title": "Per-request timeout (seconds)", "minimum": 5, "maximum": 120, "type": "integer", "description": "Abort a single page fetch after this many seconds. A slow or dead site never stalls the run.", "default": 20 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy used for outbound requests. Apify Residential or Datacenter proxy is recommended for scale and to avoid rate limits.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```