📇 Website Contact Extractor: Emails, Phones & Social Links

Give it a list of websites and get back the emails, phone numbers and social profiles each one publishes, plus the company name and address when the site declares them. One clean row per site, ready for a CRM, a spreadsheet or an enrichment step.

• ✅ Finds the contact pages for you: home, contact, about, team and imprint pages, in English, German, French, Spanish, Italian and Portuguese
• ✅ Gets the emails other tools miss: mailto: links, visible text, structured data, Cloudflare-protected addresses and name [at] company [dot] com obfuscations
• ✅ Filters out junk such as image file names, tracking hashes and placeholder addresses
• ✅ Phone numbers validated and returned in international format
• ✅ Pay only for sites that were read: unreachable sites, robots.txt blocks and bad inputs are free

What does Website Contact Extractor do?

For every website or domain in your list it:

1. Loads the home page (trying https:// first, then http:// for bare domains).
2. Ranks the links on it by how likely they are to hold contact details, and reads the best ones up to your page limit.
3. Collects every email, phone number and social profile on those pages.
4. Puts the site's own-domain addresses first, with role addresses like info@ and sales@ at the top.
5. Returns one row with everything it found, plus the company name and postal address when the site publishes structured data.

Use cases

• 🎯 Lead generation. Turn a list of company websites into contactable leads.
• 🧹 CRM enrichment. Fill in missing emails, phones and LinkedIn pages for accounts you already have.
• 🏪 Local business outreach. Pair it with a maps or directory scraper to add contact details to every business found.
• 🤝 Partner and supplier research. Collect who to talk to at a list of vendors.
• 🤖 AI agents. A single structured answer to "how do I contact this company?"

What data can you get?

Field	What it is
domain, url	The site, and the final URL after redirects
emails	All addresses found, own-domain and role addresses first
phones	Validated phone numbers in international format where possible
socials	LinkedIn, Facebook, Instagram, X, YouTube, TikTok, GitHub and Pinterest profile links. Share buttons are ignored
companyName, address	From the site's structured data, when published
title	The site's name or page title
pagesCrawled	How many pages were read
pages	The exact URLs read (switch on Include the list of pages read)
status, error	See Statuses and errors

How to use it

1. Click Try for free (or Start) at the top of this page.
2. Paste the websites into Websites or domains, one per line. acme.com and https://www.acme.com/ both work.
3. Optionally raise Pages per site (default 5) to dig deeper, or set Default country (e.g. US) so local phone numbers without a country code are recognised.
4. Press Start.
5. Download the results from the Output tab as Excel, CSV or JSON, or send them on with an integration.

Input examples

A quick list of company sites.

{
  "urls": ["stripe.com", "https://www.cloudflare.com", "basecamp.com"]
}

Local businesses with phone numbers written the local way.

{
  "urls": ["joes-plumbing-austin.com", "bestdentalcare-tx.com"],
  "defaultCountry": "US",
  "maxPagesPerSite": 8
}

A large list, with the pages read included for auditing.

{
  "urls": ["... thousands of domains ..."],
  "maxPagesPerSite": 4,
  "includePageList": true,
  "maxConcurrency": 30
}

Output example

{
  "input": "https://www.python.org",
  "domain": "python.org",
  "url": "https://www.python.org/",
  "status": "ok",
  "title": "Python.org",
  "companyName": null,
  "address": null,
  "emails": ["psf@python.org", "python-announce@python.org", "webmaster@python.org"],
  "phones": [],
  "socials": {
    "linkedin": "https://www.linkedin.com/company/python-software-foundation",
    "x": "https://twitter.com/ThePSF",
    "github": "https://github.com/python"
  },
  "pagesCrawled": 4
}

Statuses and errors

Every input gets a row, so the output always lines up with your list.

status	Meaning	Charged?
ok	The site was read. emails, phones and socials may still be empty if the site publishes none	Yes
unreachable	The site could not be read. error says why: timeout, ENOTFOUND (the domain does not exist), HTTP 403, HTTP 404 and so on	No
blocked_by_robots	The site's robots.txt disallows crawling, and Respect robots.txt is on	No
invalid_input	Not a website or domain	No

How much does it cost?

You pay per site read. Sites that fail are free, and platform usage is included.

Sites	Price on the Free and Bronze tiers
100	$0.40
1,000	$4.00
10,000	$40.00

Larger Apify plans pay less per site: 15% less on Silver, and 25% less on Gold and above.

FAQ

Can I use it through the API?

Yes. For small lists, the synchronous endpoint runs the Actor and returns the results in one request:

curl -X POST "https://api.apify.com/v2/acts/optimistical_lectern~website-contact-extractor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"urls": ["stripe.com", "basecamp.com"]}'

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('optimistical_lectern/website-contact-extractor').call({ urls: ['stripe.com', 'basecamp.com'] });
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("optimistical_lectern/website-contact-extractor").call(run_input={"urls": ["stripe.com", "basecamp.com"]})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Can AI agents use it?

Yes. It runs with limited permissions, so it needs no approval step. Add it to Claude, Cursor or any other MCP client through Apify's MCP server at mcp.apify.com, using the Actor name optimistical_lectern/website-contact-extractor.

Can I chain it after another scraper?

Yes. Use Integrations on another Actor to start this one when it finishes, or pass a list of URLs you got elsewhere. Results can go to Google Sheets, Slack, Zapier, Make, n8n or a webhook.

Why did a site return no emails?

Some sites publish no email at all and use a contact form instead, and some only show contact details after JavaScript runs. This tool reads the HTML the site serves, which keeps it fast and cheap, so details added later by JavaScript can be missed. Raising Pages per site sometimes helps.

How fast is it?

It reads plain HTML without a browser, so a thousand sites usually finish in a few minutes. Raise Sites in parallel for very large lists.

Is it legal to collect contact details from websites?

The tool only reads what a business chose to publish on its own website. It does not log in, guess addresses or look people up elsewhere. Business contact details are still personal data in some places, so check the rules that apply to you, such as GDPR, CAN-SPAM or PECR, before you contact anyone.

Something looks wrong?

Open an issue on the Issues tab with a site where the result looked wrong. Every report is read.

Related tools

• 🌐 Domain WHOIS, DNS & Email Security: domain age, mail provider, SPF and DMARC for the same domains
• 💼 Google Jobs Scraper: find companies that are hiring
• 📄 PDF Text Extractor: text from PDF links