# Email Extractor — Website Email, Phone & Social Scraper (`aitorsm/email-extractor`) Actor Bulk email & phone extractor for a list of websites. Paste URLs or domains, get back deduped emails, phone numbers, and social links per site — homepage plus contact/about pages, junk filtered. For lead lists, CRM enrichment, and outreach. - **URL**: https://apify.com/aitorsm/email-extractor.md - **Developed by:** [Aitor Sanchez-Mansilla](https://apify.com/aitorsm) (community) - **Categories:** Lead generation, Automation, E-commerce - **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 ## Email Extractor — Website Email, Phone & Social Scraper [![Email Extractor status](https://apify.com/actor-badge?actor=aitorsm/email-extractor)](https://apify.com/aitorsm/email-extractor) **Extract emails from a list of websites** in one run. Give this email extractor a few hundred company or business domains and get back clean, deduped **email addresses, phone numbers, and social-media links** — ready for lead-gen lists, CRM enrichment, or research. No setup, no per-site configuration. Give it URLs, get contacts. ### Why this email extractor - **Bulk + parallel** — feed it hundreds of domains; it fetches many in parallel, so a big batch finishes in minutes, not hours. - **Emails, phones, *and* socials** — not just an address: phone numbers and social links (Instagram, Facebook, LinkedIn, X, YouTube, TikTok) in the same record. - **Multi-page** — reads each site's homepage plus its `/contact` and `/about` pages, where contact details actually live. - **Clean output** — deduped and junk-filtered (drops `noreply@`, asset filenames, placeholder domains); one tidy record per site. - **No per-contact metering, no contract** — pay per site scanned, point it at your own list, and keep everything you find. ### Email extractor For each URL you provide, this email extractor: 1. Reads the page's published contact details. 2. Optionally also checks the same site's **/contact**, **/contact-us**, **/about**, and **/about-us** pages — where businesses usually publish their email and phone. 3. Returns a single tidy record per input URL with every email, phone, and social link it found, deduped. It processes **many pages in parallel**, so a big batch of websites finishes in a fraction of the time a one-at-a-time scan would take. ### Website email & contact scraper — use cases - **Email extraction at scale** — turn a list of website domains into a clean list of email addresses. - **Lead generation** — turn a list of business domains into a contact list. - **CRM enrichment** — fill in missing email / phone / social fields for accounts you already have. - **Market & competitor research** — collect public contact and social presence across a set of sites. - **Outreach prep** — find the right email and social handles before reaching out. ### Input | Field | Type | Default | Description | |---|---|---|---| | `urls` | array of strings | — (required) | Pages or domains to scan. Bare domains like `example.com` get `https://` added automatically. | | `maxConcurrency` | integer | `10` | How many pages to fetch in parallel. Raise it for big batches; lower it if you hit rate limits. | | `crawlContactPages` | boolean | `true` | Also scan each site's `/contact`, `/contact-us`, `/about`, `/about-us`. Best coverage; turn off for a single-page scan. | | `maxItems` | integer | unlimited | Cap the number of input URLs processed. | | `maxRequestsPerMinute` | integer | `300` | Overall limit on how many pages are fetched per minute. | #### Example input ```json { "urls": [ "https://acme-coffee.com", "blue-fox-studio.com", "https://example-agency.com/contact" ], "maxConcurrency": 10, "crawlContactPages": true } ```` ### Output One record per input URL: ```json { "url": "https://acme-coffee.com", "finalUrl": "https://acme-coffee.com/", "emails": ["hello@acme-coffee.com"], "phones": ["+15551234567"], "socials": { "instagram": ["https://instagram.com/acmecoffee"], "facebook": ["https://facebook.com/acmecoffee"], "twitter": [], "linkedin": ["https://www.linkedin.com/company/acme-coffee"], "youtube": [], "tiktok": [] }, "otherUrls": ["https://acme-coffee.com/menu"], "pagesScanned": ["https://acme-coffee.com/", "https://acme-coffee.com/contact", "https://acme-coffee.com/about"], "scrapedAt": "2026-06-20T10:00:00.000Z" } ``` | Field | Description | |---|---| | `url` | The URL you supplied. | | `finalUrl` | Where it landed after redirects. | | `emails` | Deduped, junk-filtered email addresses (drops `noreply@`, asset filenames, placeholder domains, etc.). | | `phones` | Deduped, loosely normalized phone numbers. | | `socials` | Links grouped by platform: `instagram`, `facebook`, `twitter`, `linkedin`, `youtube`, `tiktok`. | | `otherUrls` | Other outbound links found on the page (non-social, non-asset). | | `pagesScanned` | Which pages were actually read for this record. | | `scrapedAt` | ISO timestamp of the scan. | ### Cost **Pay-per-result: $4 per 1,000 websites scanned** (≈ $0.004 per input URL), with automatic volume discounts down to **$2 per 1,000** at higher usage tiers. Platform usage costs are included — the price you see is all you pay — and you're charged once **per input URL**, regardless of how many contact/about pages it reads for that site. **For comparison:** per-contact data tools (Apollo, Hunter, Lusha) charge **$0.40–0.80 per verified contact** — roughly **$400–800 to cover 1,000 sites** — and their coverage thins out on smaller, independent domains. This extractor reads what each site already publishes, so 1,000 sites costs a few dollars, not a few hundred. It's a different tool for a different job: bulk public-contact extraction over *your* list, not metered per-contact lookups. ### FAQ #### How do I extract emails from a list of websites? Paste your website or domain list into the `urls` field and run the actor. Each URL is read for published email addresses, phone numbers, and social links, and you get one deduped record per input URL. With `crawlContactPages` on (the default), it also checks each site's contact and about pages, where contact details are most often published. #### Email extractor vs an API? An email-finder API typically charges per lookup and returns a single guessed address per domain. This email extractor reads what each website actually publishes — every email, phone, and social link present on the page and its contact/about pages — in one bulk run, deduped, with no per-contact metering and no contract. You point it at your own list and get back exactly what's public on those sites. #### Does it get phone numbers and social links too? Yes. Alongside emails, every record includes deduped phone numbers and social-media links grouped by platform (`instagram`, `facebook`, `twitter`, `linkedin`, `youtube`, `tiktok`), plus any other outbound links found. It's a full website email and contact extractor, not just emails. #### What kind of websites work best? Conventional content and business sites where contact details are published in the page. Pages that only reveal contacts after heavy in-browser loading may show less. All extracted data is public information published on the pages you point it at. ### Related Actors Pair these with the email extractor to turn event listings into contactable leads — the event actors give you organizer and venue websites, and this actor enriches them with emails, phones, and socials: - [Eventbrite Scraper](https://apify.com/aitorsm/eventbrite) — event and organizer data, including organizer websites. - [Luma Events](https://apify.com/aitorsm/luma-events) — event and host data from Luma. - [Posh Events](https://apify.com/aitorsm/posh-events) — event and host data from Posh. # Actor input Schema ## `urls` (type: `array`): Pages or domains to scan. Each entry is fetched and parsed for contact details. Bare domains (e.g. "example.com") get an https:// prefix automatically. ## `maxConcurrency` (type: `integer`): How many pages to fetch in parallel. Higher = faster on big batches; lower if you hit rate limits. ## `crawlContactPages` (type: `boolean`): When on, the actor also fetches same-domain /contact, /contact-us, and /about pages for each input URL — where businesses usually publish their email and phone. Slightly more requests, much better coverage. ## `maxItems` (type: `integer`): Maximum number of input URLs to process. 0 or empty = no limit. ## `maxRequestsPerMinute` (type: `integer`): Global throttle across all concurrent requests. Lower it to be gentler on slow hosts. ## Actor input object example ```json { "urls": [ "https://www.crawlee.dev", "https://apify.com/contact" ], "maxConcurrency": 10, "crawlContactPages": true, "maxRequestsPerMinute": 300 } ``` # 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://www.crawlee.dev", "https://apify.com/contact" ] }; // Run the Actor and wait for it to finish const run = await client.actor("aitorsm/email-extractor").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://www.crawlee.dev", "https://apify.com/contact", ] } # Run the Actor and wait for it to finish run = client.actor("aitorsm/email-extractor").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://www.crawlee.dev", "https://apify.com/contact" ] }' | apify call aitorsm/email-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aitorsm/email-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Email Extractor — Website Email, Phone & Social Scraper", "description": "Bulk email & phone extractor for a list of websites. Paste URLs or domains, get back deduped emails, phone numbers, and social links per site — homepage plus contact/about pages, junk filtered. For lead lists, CRM enrichment, and outreach.", "version": "0.0", "x-build-id": "I8jUdGjsK7EYOS6fQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aitorsm~email-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aitorsm-email-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aitorsm~email-extractor/runs": { "post": { "operationId": "runs-sync-aitorsm-email-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aitorsm~email-extractor/run-sync": { "post": { "operationId": "run-sync-aitorsm-email-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "URLs", "type": "array", "description": "Pages or domains to scan. Each entry is fetched and parsed for contact details. Bare domains (e.g. \"example.com\") get an https:// prefix automatically.", "items": { "type": "string" } }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many pages to fetch in parallel. Higher = faster on big batches; lower if you hit rate limits.", "default": 10 }, "crawlContactPages": { "title": "Also scan contact / about pages", "type": "boolean", "description": "When on, the actor also fetches same-domain /contact, /contact-us, and /about pages for each input URL — where businesses usually publish their email and phone. Slightly more requests, much better coverage.", "default": true }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Maximum number of input URLs to process. 0 or empty = no limit." }, "maxRequestsPerMinute": { "title": "Max requests per minute (advanced)", "minimum": 1, "type": "integer", "description": "Global throttle across all concurrent requests. Lower it to be gentler on slow hosts.", "default": 300 } } }, "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 } } } } } } } } } } ```