Contact Details Scraper - Emails, Phones & Socials

Use when…

• You need emails, phones, social links or addresses from a company website.
• A lead-gen or enrichment agent must scrape contact pages (and obey robots.txt).
• You have a domain or URL list and want structured contact details back.

Try this input

Copy-paste this JSON as the Actor input (it matches a successful run / the default schema):

{
  "requests": [
    {
      "url": "https://apify.com"
    },
    {
      "url": "https://www.python.org"
    }
  ]
}

Sample output (real run 2026-10-25)

One dataset item, shortened:

{
  "url": "https://www.python.org",
  "domain": "python.org",
  "company_name": "Python.org",
  "emails": [
    "legal@python.org"
  ],
  "emails_on_domain": [
    "legal@python.org"
  ],
  "phones": [],
  "social": {
    "linkedin": [
      "https://linkedin.com/company/python-software-foundation"
    ],
    "x": [
      "https://twitter.com/thepsf"
    ],
    "github": [
      "https://github.com/python"
    ]
  },
  "addresses": [],
  "email_sources": {
    "legal@python.org": "https://www.python.org/about/legal/"
  },
  "pages_crawled": [
    "https://www.python.org",
    "https://www.python.org/about/",
    "… +1 more"
  ],
  "pages_skipped_robots": [],
  "result": "found",
  "…": "+1 more keys"
}

Paste a list of company websites. Get back each company's public emails, phone numbers, social media links and postal address in one clean table. Built for lead generation, CRM enrichment and AI sales agents.

What it does

• Visits the homepage, then the contact / about / impressum / legal / team pages (default 8 pages per site, max 20)
• Emails found on those pages, plus emails_on_domain: only the company's own addresses (best for outreach lists)
• Phone numbers from tel: links and schema.org data
• Social profiles: LinkedIn, X/Twitter, Facebook, Instagram, YouTube, TikTok, GitHub, Pinterest, Threads, Bluesky
• Company name and postal address from schema.org structured data
• Respects robots.txt. Public pages only: no logins, no proxies

Quick start

Click Start - the default input already works:

{"requests": ["https://apify.com", {"url": "https://www.python.org", "max_pages": 5}]}

Put many websites in one run (up to 2,000) - cheaper and faster than one run each.

Sample output (real run, 25 Oct 2026)

Website	Company	Company emails	Socials found	Address
apify.com	Apify	hello@apify.com, support@apify.com	LinkedIn, X, TikTok, GitHub	Na Příkopě 959/27, Prague, CZ
monzo.com	Monzo Bank	dpo@monzo.com, help@monzo.com	LinkedIn, X, Facebook, Instagram	Broadwalk House, 5 Appold St, London EC2A 2AG
python.org	Python.org	legal@python.org	LinkedIn, X, GitHub	none published

Use cases

1. Lead lists: turn a list of company domains into emails and LinkedIn pages for your CRM.
2. CRM clean-up: fill missing phone numbers and social links on existing accounts.
3. AI sales agents: let an agent look up a company's contact page in one call.
4. Supplier / partner research: get the official contact routes for a list of businesses.

Pricing

Pay per event: $0.002 per website scraped. Rows with errors are not charged. No subscription.

FAQ

Does it find personal emails of employees? Only addresses published on the site's own pages. It does not guess or look up people. Why are there fewer phones than emails? Phones are only taken from tel: links and structured data, to avoid picking up random numbers. Can it scrape sites that block bots? No. It respects robots.txt and uses no proxies, so heavily protected sites may return little or an error. Can AI agents use it? Yes - via the Apify API, or add https://mcp.apify.com?actors=tudorlane/website-contact-details to an AI assistant.

Limits & failure modes

• Results depend on what the site publishes; some sites list no email at all.
• emails may include example or third-party addresses shown on the page (e.g. in testimonials). Use emails_on_domain for the company's own addresses.
• JavaScript-only contact forms are not read.
• You are responsible for using contact data lawfully (e.g. GDPR/PECR for marketing).
• Sites that block bots or hide contacts behind forms/JS will return few or no emails.
• robots.txt is respected — disallowed contact paths are skipped.