# Website Contact Extractor - Verified Outreach-Ready Emails (`webdata_labs/website-contact-extractor`) Actor \[💵 $2.00 / 1K] Turn a list of company domains into verified, outreach-ready contacts. Extracts emails, phones, and socials, classifies role vs personal, MX-verifies deliverability, and dedupes - so you get usable leads, not a junk email dump. CSV/JSON. - **URL**: https://apify.com/webdata\_labs/website-contact-extractor.md - **Developed by:** [Open Web Team](https://apify.com/webdata_labs) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.60 / 1,000 contact rows 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 ## Website Contact Extractor - Verified Outreach-Ready Emails, Not Raw Dumps **Turn a list of company domains into verified, outreach-ready contacts - not a junk email dump.** Most website **email scrapers** hand you a pile of `noreply@`, `webmaster@`, and unverifiable addresses mixed in with the good ones. This Actor extracts the contacts, then does the work the others skip: it **classifies** each email (personal vs role vs junk), **MX-checks** that the domain actually accepts mail, keeps only on-domain addresses, and dedupes. You get a clean, prioritized list you can email today. ### ✅ What you get / ❌ what this isn't | ✅ This Actor gives you | ❌ This Actor is not | |---|---| | MX-verified, on-domain, deduped emails | Not a raw dump of `noreply@` and junk | | Personal contacts ranked above role inboxes | Not unverified guesses you can't trust | | An `outreachReady` flag per email | Not private or login-gated data | | Socials + phone numbers per site | Not a generic crawler with no enrichment | ### 🔎 Why use this Actor - **Verified, not guessed.** Every email domain is MX-checked, so dead domains are flagged before you waste a send. - **Personal first.** Real people (`jane@`) rank above role inboxes (`info@`, `sales@`), which beat junk (`noreply@`) - so the best contact is row one. - **Outreach-ready flag.** One boolean tells you which emails are safe to use: not junk, on the company's own domain, and deliverable. - **Socials and phones too.** LinkedIn, X, Facebook, Instagram, YouTube, and phone numbers per site. - **One summary row per domain.** Counts, primary email, and a status (ok / no_contacts / unreachable) for a fast read. - **Built to pair with lead lists.** Feed it the website column from a Google Maps, directory, or CRM export. ### 👥 Who it's for Sales, growth, and agency teams building cold-outreach lists. Common jobs: - Enrich a Google Maps or directory scrape (you have websites, you need emails). - Clean a contact list down to deliverable, non-junk addresses before a cold campaign. - Find a company's socials and phone alongside its email in one pass. - Build outreach lists where every row is already verified and prioritized. ### Example tasks - [Find emails from company websites](https://apify.com/webdata_labs/website-contact-extractor/examples/find-emails-from-company-websites) - [Enrich Google Maps leads with emails](https://apify.com/webdata_labs/website-contact-extractor/examples/enrich-google-maps-leads-with-emails) - [Extract social profiles from websites](https://apify.com/webdata_labs/website-contact-extractor/examples/extract-social-profiles-from-websites) ### ⚙️ How to extract emails from websites 1. Open the Actor on Apify. 2. Paste your `domains` (company domains or full URLs). 3. Set `pagesPerSite` (homepage, /contact, /about - more pages, higher yield and cost). 4. Keep `verifyMx` on so dead domains are flagged. 5. Click **Start**. 6. Open the **Outreach-ready contacts** view, or download CSV/JSON/Excel or pull from the API. ### 📥 Input ```json { "domains": ["basecamp.com", "apify.com"], "pagesPerSite": 3, "verifyMx": true, "maxDomains": 100 } ```` - `domains` - company domains or URLs (`example.com` or `https://example.com`). - `pagesPerSite` - how many common pages to check per site. More pages = higher yield, higher cost. - `verifyMx` - MX-verify email domains for deliverability (recommended). - `maxDomains` - safety cap so a default run stays cheap. ### 📤 Output Two row types in one dataset, with ready-made views. **Outreach-ready contacts** (default view): | domain | email | emailType | mxValid | outreachReady | sourceUrl | |---|---|---|---|---|---| | basecamp.com | jason@basecamp.com | personal | true | true | https://basecamp.com/about | | apify.com | hello@apify.com | role | true | true | https://apify.com/contact | **Per-domain summary**: | domain | status | primaryEmail | outreachReadyEmails | emailsFound | socialsFound | |---|---|---|---|---|---| | apify.com | ok | hello@apify.com | 1 | 1 | 12 | | ycombinator.com | no\_contacts | (null) | 0 | 0 | 7 | ### 💵 How much does it cost? You pay per result plus Apify platform usage. Cost scales with the number of `domains` and `pagesPerSite` (more pages crawled per site = higher yield and higher cost). MX verification is cheap. Keep `pagesPerSite` at 2-3 for the best yield-to-cost ratio. ### 🔁 Run it on the Apify platform Schedule recurring enrichment, call it from the API, export to CSV/JSON/Excel, or pipe results into Make, Zapier, webhooks, or your CRM. ### ⚠️ Limits and caveats - Only public website data is read. No login, no private data. - A few sites block automated requests or hide emails behind forms; those return `unreachable` or `no_contacts` rather than failing the run. - MX verification confirms the domain accepts mail, not that a specific inbox exists. ### 🧩 Related Actors - **Bulk URL Status Checker** - check domains and final URLs before running contact enrichment. - **Lead List Deduplicator & Normalizer** - merge contacts from multiple sources into one canonical list. - **LinkedIn Ads Library Scraper** - find advertisers, then turn their domains into contacts here. ### ❓ FAQ **Does it verify emails?** It MX-checks each email's domain for deliverability and flags dead domains. It does not send test mail to individual inboxes. **Can I enrich a lead list?** Yes - feed it the website column from any Google Maps, directory, or CRM export. **Does it scrape private data?** No. It reads only public website pages. ### 🛠️ Support If a run fails or a field is missing, open an Actor issue with the run URL, the input you used, and the field or behavior you expected. # Actor input Schema ## `domains` (type: `array`): Company domains or website URLs to extract contacts from. Accepts example.com or https://example.com/. Ideal input is a list of company websites from a Google Maps, directory, or CRM export. ## `pagesPerSite` (type: `integer`): How many common pages to check per site (homepage, /contact, /about, ...). More pages = higher email yield but higher cost. ## `verifyMx` (type: `boolean`): Check each email domain has valid MX (mail) records, so undeliverable domains are flagged. Recommended. ## `maxDomains` (type: `integer`): Safety cap on how many domains to process in one run. Low default keeps the first run cheap and fast. ## `requestTimeoutMs` (type: `integer`): Timeout per page fetch. Increase only if slow sites return empty. ## Actor input object example ```json { "domains": [ "basecamp.com", "ycombinator.com" ], "pagesPerSite": 3, "verifyMx": true, "maxDomains": 100, "requestTimeoutMs": 12000 } ``` # Actor output Schema ## `outreach` (type: `string`): No description ## `summary` (type: `string`): No description ## `results` (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 = { "domains": [ "basecamp.com", "ycombinator.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("webdata_labs/website-contact-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 = { "domains": [ "basecamp.com", "ycombinator.com", ] } # Run the Actor and wait for it to finish run = client.actor("webdata_labs/website-contact-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 '{ "domains": [ "basecamp.com", "ycombinator.com" ] }' | apify call webdata_labs/website-contact-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=webdata_labs/website-contact-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact Extractor - Verified Outreach-Ready Emails", "description": "[💵 $2.00 / 1K] Turn a list of company domains into verified, outreach-ready contacts. Extracts emails, phones, and socials, classifies role vs personal, MX-verifies deliverability, and dedupes - so you get usable leads, not a junk email dump. CSV/JSON.", "version": "0.1", "x-build-id": "nmVZ7hImdfBhXOQb1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/webdata_labs~website-contact-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-webdata_labs-website-contact-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/webdata_labs~website-contact-extractor/runs": { "post": { "operationId": "runs-sync-webdata_labs-website-contact-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/webdata_labs~website-contact-extractor/run-sync": { "post": { "operationId": "run-sync-webdata_labs-website-contact-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": [ "domains" ], "properties": { "domains": { "title": "Domains or website URLs", "type": "array", "description": "Company domains or website URLs to extract contacts from. Accepts example.com or https://example.com/. Ideal input is a list of company websites from a Google Maps, directory, or CRM export.", "default": [ "basecamp.com", "ycombinator.com" ], "items": { "type": "string" } }, "pagesPerSite": { "title": "Pages per site", "minimum": 1, "maximum": 5, "type": "integer", "description": "How many common pages to check per site (homepage, /contact, /about, ...). More pages = higher email yield but higher cost.", "default": 3 }, "verifyMx": { "title": "Verify email deliverability (MX)", "type": "boolean", "description": "Check each email domain has valid MX (mail) records, so undeliverable domains are flagged. Recommended.", "default": true }, "maxDomains": { "title": "Max domains", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Safety cap on how many domains to process in one run. Low default keeps the first run cheap and fast.", "default": 100 }, "requestTimeoutMs": { "title": "Per-request timeout (ms)", "minimum": 3000, "maximum": 30000, "type": "integer", "description": "Timeout per page fetch. Increase only if slow sites return empty.", "default": 12000 } } }, "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 } } } } } } } } } } ```