Contact Details Scraper - Emails, Phones & Social Links

Contact details scraper: emails, phone numbers and social profiles from any website

TL;DR: Contact Details Scraper takes a list of websites or domains and returns, for each one, the business emails, phone numbers and social media profiles (Facebook, Instagram, LinkedIn, X/Twitter, YouTube, TikTok, Pinterest, Yelp) published on its homepage and contact/about pages, plus the company name, CMS/tech stack and a list of website gaps. Built for lead generation, sales prospecting, CRM enrichment and AI agents. You pay $1.00 per 1,000 websites read - not per page - and websites that are offline or blocked are free.

It reads only each site's own public pages, respects robots.txt, uses no login and no proxy, and returns only role/business mailboxes - personal-looking addresses are never output.

What data you get

One dataset row per website that could be read. Values not found are null or empty lists.

Field	What it is	Example
url, domain, finalUrl	Your input, its domain, the URL after redirects	https://www.eff.org, eff.org
companyName	Organisation name from schema.org data or og:site_name	Electronic Frontier Foundation
email, emails	Business emails (own-domain first) from mailto links, schema.org, visible text, lightly de-obfuscated [at] / [dot]	info@eff.org, press@eff.org
phone, phones	Phone numbers from tel: links and schema.org (E.164 when international)	+1...
facebook, instagram, linkedin, twitter, youtube, tiktok, pinterest, yelp	Social profile URLs (share buttons and post links ignored)	https://www.linkedin.com/company/EFF
contactPageUrl, pagesFetched	Contact/about page read, number of pages read	https://www.eff.org/about, 3
personalEmailsHidden	Personal-looking addresses found on the site but never returned	3
cms, ecommercePlatform, technologies	Website builder / CMS, shop platform, detected technologies	Drupal
analytics, adPixels, marketingTools, bookingPlatform	Google Analytics, Meta Pixel, HubSpot, live chat, Calendly...
websiteTitle, websiteDescription, websiteLanguage	Homepage SEO basics
hasHttps, websiteResponseMs, websiteGaps	HTTPS, response time, outreach-ready list of what the site lacks	No analytics

Websites that could not be read are listed with the reason (offline, HTTP 403, robots.txt, not HTML) in the key-value store record FAILED_WEBSITES and are not charged.

Use cases

• Lead generation and cold outreach: turn a list of company domains into emails, phones and LinkedIn pages.
• CRM enrichment: fill missing contact and social fields for accounts you already have.
• Agencies: combine contacts with websiteGaps and technologies to pitch the right service to each prospect.
• Local business lists: feed the website column from our Local Business Leads Scraper (or any list) to get contacts in bulk.
• AI agents: one tool call answers "find the contact email and LinkedIn page for these 20 companies".

How to scrape contact details from websites

1. Paste Websites - full URLs or bare domains, one per line (up to 50,000 per run).
2. Choose Pages per website (default 3 = homepage + 2 contact/about/team/imprint pages).
3. Optional: Parallel websites, Respect robots.txt (on by default).
4. Click Start. Export CSV / Excel / JSON or read the dataset via API.

Input example

{
  "urls": ["https://www.eff.org", "apache.org", "https://www.mozilla.org"],
  "maxPagesPerWebsite": 3,
  "maxConcurrency": 10
}

Output example

A real row from our test run:

{
  "url": "https://www.eff.org",
  "domain": "eff.org",
  "finalUrl": "https://www.eff.org/",
  "companyName": "Electronic Frontier Foundation",
  "email": "info@eff.org",
  "emails": [
    "info@eff.org",
    "press@eff.org",
    "hr@eff.org"
  ],
  "phone": null,
  "phones": [],
  "facebook": "https://www.facebook.com/eff",
  "instagram": "https://www.instagram.com/efforg",
  "linkedin": "https://www.linkedin.com/company/EFF",
  "twitter": null,
  "youtube": "https://www.youtube.com/efforg",
  "tiktok": "https://www.tiktok.com/@efforg",
  "pinterest": null,
  "yelp": null,
  "contactPageUrl": "https://www.eff.org/about",
  "pagesFetched": 3,
  "personalEmailsHidden": 3,
  "websiteTitle": "Electronic Frontier Foundation | Defending your rights in the digital world",
  "websiteDescription": "Defending your rights in the digital world",
  "websiteLanguage": "en",
  "cms": "Drupal",
  "ecommercePlatform": null,
  "analytics": [],
  "adPixels": [],
  "marketingTools": [],
  "bookingPlatform": null,
  "technologies": [
    "Drupal",
    "Nginx",
    "Varnish",
    "PHP"
  ],
  "hasHttps": true,
  "websiteResponseMs": 88,
  "websiteGaps": [
    "No HSTS header",
    "No structured data (schema.org)",
    "No analytics",
    "No ad/retargeting pixel",
    "No online booking widget",
    "No chat, forms or marketing automation tool"
  ],
  "scrapedAt": "2026-11-03T08:35:05.661Z"
}

RUN_SUMMARY holds websites requested / saved / failed, seconds, requests, retries and charged events. The dataset has two views: Contacts and All fields.

How much does it cost to scrape contact details?

Pay per event, per website - every page read on that site (up to your Pages per website) is included. Compute and requests are included; the price is the same on every Apify plan.

Event	Charged when	Price
website	One website read and saved to the dataset	$1.00 per 1,000 ($0.001 each)
apify-actor-start	Once per run (Apify's standard start fee)	$0.00005

Worked examples

• 1,000 websites = 1,000 × $0.001 = $1.00, whether you read 1 or 10 pages per site.
• In our 300-business test list (Denver, 281 unique domains), 207 sites were readable = $0.21; the 74 offline or blocked sites cost nothing.

Speed

Measured on our test runs (2026-11-03): the 3 prefill websites at 3 pages each in a few seconds; 281 real small-business domains in 50.5 s with 20 sites in parallel (881 requests, 50 retried). Each site has a hard deadline so a slow server never stalls the run; 429 and 5xx responses are retried with exponential backoff.

How it compares

	This actor	Page-based crawlers	Manual research	Contact databases
Unit price	Per website (all pages included)	Per page crawled	Your time	Subscription / credits
Source	The company's own public website	Same	Same	Mixed, often undisclosed
Social profiles	8 networks, share links filtered out	Varies	Manual	Some
Tech stack and website gaps	Included	No	No	Sometimes
Personal data	Role/business mailboxes only; personal addresses never output	Usually everything	You decide	Personal data by design
robots.txt	Respected	Varies	n/a	n/a

FAQ

How do I extract emails from a list of websites?

Paste the URLs or domains into Websites and run. Each row returns the business emails found on the homepage and up to N contact/about pages, plus phones and social links. Export as CSV.

Which emails are returned?

Role and business mailboxes such as info@, contact@, sales@, press@, office@, bookings@, and addresses named after the company (for example joesplumbingatx@gmail.com). Personal-looking addresses (firstname.lastname@...) are counted in personalEmailsHidden but never returned - there is no option to turn them on.

Is it legal to scrape contact details from websites?

The actor reads only pages the website publishes openly, honours robots.txt, sends an identifying user agent and does not log in or bypass protections; sites that block automated access (for example with HTTP 403) are skipped. Business contact data is still subject to privacy and anti-spam law (GDPR, CAN-SPAM, PECR) when you use it - which is why personal addresses are never returned.

How many pages per website are crawled?

The homepage plus up to N-1 same-domain pages whose link text or URL looks like contact, about, team, imprint/Impressum, locations or "get in touch" (default N = 3, max 10). The price is the same per website.

Does it find phone numbers and LinkedIn pages?

Yes: phones come from tel: links and schema.org data; social profiles from links and schema.org sameAs for Facebook, Instagram, LinkedIn, X/Twitter, YouTube, TikTok, Pinterest and Yelp.

What happens with websites that are down or block bots?

They are not charged. They appear in FAILED_WEBSITES with the reason, for example unreachable (ENOTFOUND), HTTP 403 or disallowed by robots.txt.

Can I use it with a list of businesses from Google Sheets or my CRM?

Yes - pass the website column as Websites via the API, Make, Zapier or n8n, then write the rows back.

Can an AI agent use this contact finder?

Yes. Through the Apify MCP server an agent can find it with search-actors, read the input schema and call it with a list of domains. See Integrations.

Something wrong?

Open an issue on the Issues tab; we aim to respond within 24 hours.

Integrations

• API: POST https://api.apify.com/v2/acts/offgrid-labs~website-contact-extractor/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN> with the input JSON returns the rows directly (runs under 5 minutes; otherwise start a run and read its dataset).
• Python / JavaScript: pip install apify-client / npm install apify-client, then client.actor("offgrid-labs/website-contact-extractor").call(run_input={"urls": [...]}).
• No-code: Apify integrations for Make, Zapier and n8n, Google Sheets, HubSpot/CRM webhooks and Schedules.
• MCP / AI agents: add https://mcp.apify.com?tools=offgrid-labs/website-contact-extractor to your MCP client.

Changelog

• 2026-11-03 · Policy: removed the includePersonalEmails option. Only role/business mailboxes are ever returned; personal-looking addresses are counted in personalEmailsHidden only.
• 2026-11-03 · First release: homepage + contact/about page crawl, business-email policy, phones, 8 social networks, company name, tech stack and website gaps, per-site deadline, HTTPS→HTTP fallback for bare domains, FAILED_WEBSITES (not charged), RUN_SUMMARY.

Related actors

Actor	What it does
Local Business Leads Scraper	Businesses by category and city (88M places) with phone, website and socials - feed its websites here
Tech Stack Detector	Deeper technology profile of any website, with evidence
Company Registry Lookup (KYB)	Official company records (UK, France, Norway, Finland)

---

// OFFGRID LABS ─────────────────────────────────────────────
// status: monitored 24/7 by a self-hosted agent swarm
// health checks: every 6h · auto-repair + rollback on failure
// sources: official public APIs and open data only
// support: open an issue — human-reviewed response within 24h
// ───────────────────────────────────────────────────────────