Contact Details Scraper API: Emails, Phones & Socials

Give it a list of websites, get back one row per website with its emails (best one first), phone numbers, LinkedIn, Facebook, Instagram, X, YouTube, TikTok and other social profiles, company name and address.

It reads only the pages that hold contacts: the home page, then contact, imprint (Impressum), about, team and legal pages. So it finds the same contacts in 1 to 5 pages that a blind crawl needs 20 for. $5 per 1,000 websites, and you pay only for websites where contacts were found.

What you can use it for

• Lead generation: turn a list of company domains (from Google Maps, a trade show, a CRM export or a search) into emails and phone numbers.
• Enrich a CRM or spreadsheet: add LinkedIn company pages and social profiles to every account.
• Influencer and partner outreach: find the contact email and Instagram, TikTok or YouTube of every brand or creator site.
• Local business lists: dentists, plumbers, law firms, restaurants: their sites, their emails and phones in one table.
• AI agents: give an agent a contact lookup tool through the API, n8n, Make, Zapier or the Apify MCP server.

How it compares

	Typical contact crawler	This Actor
Pages read per website	up to 20 (every link, two levels deep)	1 to 5, contact-type pages first
What you pay for	every page loaded	one price per website, only when contacts are found
Price for 1,000 websites	$2 per 1,000 pages, so up to $40 at 20 pages per site	$5
Output	often one row per page	one merged row per website, best email first
Cloudflare-protected emails, name [at] site [dot] com	varies	decoded
Sites behind bot walls or slow to answer	error rows	residential IP, then a real Chrome, then a second pass; still free if they fail

How to use it

1. Paste websites into Websites, one per line: example.com, https://www.example.com, or a page such as https://example.com/contact.
2. Optional: Max pages per website (default 5; 1 reads the home page only). The price does not change with it.
3. Run it and download the results as JSON, CSV or Excel, or read them through the API.

Input example

{
  "startUrls": ["apify.com", "https://www.python.org", "wordpress.org"],
  "maxPagesPerSite": 5
}

Output

One item per website:

{
  "type": "site",
  "input": "apify.com",
  "domain": "apify.com",
  "url": "https://apify.com/",
  "companyName": "Apify",
  "title": "Apify: Marketplace of ready-to-run tools for AI",
  "description": "Thousands of tools to automate your business. Get real-time web data, track competitors, generate leads, and integrate your apps and AI agents.",
  "primaryEmail": "hello@apify.com",
  "emails": ["hello@apify.com", "support@apify.com", "legal@apify.com", "privacy@apify.com"],
  "phones": [],
  "phonesUncertain": [],
  "linkedIns": ["https://www.linkedin.com/company/apify"],
  "facebooks": [],
  "instagrams": [],
  "twitters": ["https://x.com/apify"],
  "youtubes": ["https://www.youtube.com/c/Apify"],
  "tiktoks": ["https://www.tiktok.com/@apifytech", "https://www.tiktok.com/@apifyoffice"],
  "pinterests": [],
  "githubs": ["https://github.com/apify"],
  "telegrams": [],
  "whatsapps": [],
  "threads": [],
  "discords": ["https://discord.gg/jyEM2PRvMU", "https://discord.gg/w3e2v7rWDw"],
  "snapchats": [],
  "address": "Na Příkopě 959/27, 11000, Prague, CZ",
  "contactPageUrl": "https://apify.com/contact",
  "pagesScraped": 5,
  "pageUrls": ["https://apify.com/", "https://docs.apify.com/legal", "https://apify.com/contact", "https://apify.com/contact-sales", "https://apify.com/about"],
  "scrapedAt": "2026-10-05T19:16:05.839Z"
}

• primaryEmail is the address to write to first: one on the site's own domain, generic inboxes such as info@ and contact@ ahead of personal ones.
• phones come from click-to-call links and the site's structured data, so they are the site's own numbers. phonesUncertain are phone-shaped numbers found in the page text: usually right, but check them.
• companyName and address come from the site's structured data (schema.org) when it has it.
• contactPageUrl is the contact-type page where contacts were found.
• A website that does not load (domain does not exist, no answer, or a bot wall) gives a free error row with error set to SITE_UNREACHABLE, TIMEOUT, BLOCKED, NOT_FOUND or FAILED.

The run summary (websites delivered, with email, with phone, with social profiles, failures by reason) is saved as OUTPUT in the run's key-value store.

Pricing

Pay per website, no subscription:

Event	Price
Website with contacts (at least one email, phone or social profile)	$0.005 ($5 per 1,000 websites)
Actor start	$0.00005

Websites where nothing is found, and websites that do not load, are free. 1,000 websites cost at most $5 whatever Max pages per website is set to. Bronze, Silver and Gold Apify plans get 5%, 10% and 15% off. Proxies, the residential and browser fallbacks, and compute are included. Apify's free plan's $5 of monthly credit covers about 1,000 websites.

Use it from code

API (cURL)

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

Python

$pip install apify-client

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("sauliusautomatesit/contact-details-scraper-api").call(run_input={
    "startUrls": ["apify.com", "wordpress.org", "python.org"],
})
for row in client.dataset(run.default_dataset_id).iterate_items():
    if row["type"] == "site":
        print(row["domain"], row["primaryEmail"], row["phones"][:1], row["linkedIns"][:1])

run.default_dataset_id is for apify-client 3.x; on 2.x write run["defaultDatasetId"]. Pass max_total_charge_usd=1 to .call() to cap a run at $1 (about 200 websites); the run stops cleanly at the cap.

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('sauliusautomatesit/contact-details-scraper-api').call({ startUrls: ['apify.com', 'python.org'] });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.map((r) => `${r.domain} ${r.primaryEmail}`));

MCP (Claude, Cursor, any MCP client)

Add https://mcp.apify.com/?tools=sauliusautomatesit/contact-details-scraper-api as a remote MCP server and your agent can look up a company's contacts as a tool.

Limits, honestly

• About 1 website in 20 still refuses automated visits after every fallback (hard Cloudflare checks); those come back as free error rows. In our 212-site test of real local business websites, 95% loaded, 92% gave at least one contact and 75% an email.
• Pages are read as plain HTML first. A headless Chrome is used only for sites behind a bot wall and for home pages that are empty until JavaScript runs, so a few sites that draw contacts with scripts deep inside the site can still be missed.
• About 1 loaded site in 5 shows no email on any page we read, most of them only a contact form; you get their phones and social profiles instead.
• It reads what the website publishes. It does not guess email patterns or look people up in other databases.
• Personal data: emails and phones of named people are personal data under GDPR and similar laws. Have a lawful reason to process them, and respect opt-outs.

Related Actors

• Bing Search API: get the websites that rank for "dentist leeds" or any search, then feed them here.
• Google Ads Transparency API: find the advertisers in a market, then their contacts.

FAQ

Do I need a list of websites? Yes, websites or domains. Search results, a Google Maps export or a CRM export all work; duplicates are removed.

Does it follow every link? No. It reads the home page, then the links whose address or text says contact, imprint, about, team or legal, best first, up to Max pages per website. If no email turns up, it looks one level deeper for contact-type pages.

Why was a website free? It did not load (error row) or no email, phone or social profile was found on it.

Can I monitor a list? Yes. Save the input as a task and schedule it.

Is it legal? It collects contact details that websites publish. You are responsible for how you use them and for complying with the laws that apply to you, including anti-spam rules for cold email.