Contact Details Extractor

Turn a list of company websites into emails, phone numbers and social profile links — pulled straight from each site's own pages. Paste a homepage URL and the Actor finds and checks the contact/about pages itself; you don't need to know the exact page.

Price: $2 per 1,000 websites ($0.002 each). You only pay for websites that actually load — timeouts, DNS failures and dead domains are free.

Screenshots are rendered from a real test run on 2026-09-30 (run input, dataset and run record), not mock-ups.

Why teams choose this extractor

	This Actor
💵 Price	$2 per 1,000 websites, no monthly rental
🛡️ Pay only for success	Websites that fail to load cost $0
🔎 Self-discovering	Finds contact/about pages on its own — one homepage URL is enough
📇 More than emails	Emails, phone numbers, Facebook, X/Twitter, LinkedIn, Instagram and YouTube in one run
✅ Verified social links	Read from structured data and the site's own header/footer/nav — not an unscoped page-wide guess
⚡ No proxy needed	Plain HTTP, works on Apify's Free plan
🤖 AI-agent ready	Callable from Claude, ChatGPT & Cursor through Apify's MCP server

What you can use it for

• 📈 Sales & lead generation – build a contact list from a list of prospect company websites.
• 🤝 Partnership & outreach research – find the right public channel to reach a company on.
• 🧹 CRM enrichment – fill in missing emails, phones and social links for existing accounts.
• 🕵️ Due diligence – quickly see how (and whether) a company presents itself publicly.

Features

• ✅ Give it just a homepage — it discovers /contact, /about, /support and similar pages itself
• ✅ Extracts emails (visible text + mailto: links) and filters out placeholder addresses like info@example.com
• ✅ Extracts phone numbers (visible text + tel: links)
• ✅ Extracts Facebook, X/Twitter, LinkedIn, Instagram, YouTube links from schema.org structured data and the site's header/footer/nav
• ✅ Configurable crawl depth per domain (maxPagesPerDomain)
• ✅ Runs many websites in parallel
• ✅ Websites that fail to load are reported with the reason and never charged

How to use

1. Click Try for free.
2. Paste one or more company homepage URLs into Websites.
3. Click Start and download the results from the Output tab.

Input example

{
  "startUrls": [
    "https://stripe.com",
    "https://www.shopify.com",
    "https://www.mailchimp.com"
  ],
  "maxPagesPerDomain": 6
}

Field	Description
startUrls	Company websites to scan — a homepage URL is enough
maxPagesPerDomain	How many pages to check per website (default 6). Doesn't affect price.
requestTimeoutSecs	Per-page timeout in seconds (default 15)
maxConcurrency	How many websites to process at once (default 5)

Output example

A real row from a test run on 2026-09-30:

{
  "domain": "www.mailchimp.com",
  "url": "https://www.mailchimp.com",
  "status": "ok",
  "emails": [],
  "phones": ["+1 (800) 315-5939", "+1 (800) 330-4838"],
  "facebook": "https://www.facebook.com/mailchimp/",
  "twitter": "https://x.com/Mailchimp",
  "linkedin": "https://www.linkedin.com/company/mailchimp",
  "instagram": "https://www.instagram.com/mailchimp/",
  "youtube": null,
  "pagesScanned": 6
}

The same phone number found as a tel: link and as visible text is returned once, in its most readable form.

Websites that fail to load are returned with "status": "error" and an error message, and are not charged.

Limits you should know about

• It reads plain HTML without a browser. Sites that only render contact details with JavaScript, behind a login or behind a bot wall (e.g. Cloudflare challenges) may come back with fewer or no results — they are still charged if the homepage loaded, because the scan itself ran.
• Many large companies publish no email address at all (only contact forms); an empty emails list is a real answer, not an error.
• Only public pages on the same domain are scanned (up to maxPagesPerDomain, default 6). It does not search Google, LinkedIn or other third-party sources, and it does not guess or verify emails.
• Phone numbers are matched only when written in a phone-like format (a leading + or an area code in brackets) or linked with tel:, to avoid picking up random digits.

Pricing

Pay-per-event: $0.002 per successfully scanned website (= $2 per 1,000). No monthly rental, no charge for websites that fail to load. Apify's free plan gives you monthly credits so you can try it for free.

Quick start in Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("siftwright/contact-details-extractor").call(run_input={
    "startUrls": ["https://stripe.com", "https://www.shopify.com"],
})
# apify-client 3.x (pip install apify-client); on 2.x use run["defaultDatasetId"]
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item["domain"], item["emails"], item["phones"])

Use it via API

curl -X POST "https://api.apify.com/v2/acts/siftwright~contact-details-extractor/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":["https://stripe.com","https://www.shopify.com"]}'

Works with Python and JavaScript API clients, Make, Zapier, n8n, LangChain and LlamaIndex. AI agents (Claude, ChatGPT, Cursor) can call it directly through Apify's MCP server.

FAQ

Does it guess or verify emails? It only returns addresses and numbers that are actually published on the website's own pages — it does not guess, generate or verify deliverability.

Can results ever include a name that isn't the target company? Rarely — a page that embeds a customer case study or testimonial widget can occasionally surface that third party's own details alongside the target site's. Social links are checked against structured data and the site's own header/footer/nav to keep this rare; always spot-check results before using them for compliance-sensitive work.

Is it legal? The Actor only reads publicly available pages, the same way a browser would. Make sure your use (e.g. outreach) respects the target sites' terms and applicable data-protection law (e.g. GDPR/CCPA) in your jurisdiction.

Something broke or you need a feature? Open an issue on the Issues tab — we respond fast.