Extract emails, phone numbers and social profiles from a list of websites

You have a list of company websites — from a trade-show exhibitor list, a Google Maps search, a directory or your own CRM — and you need a way to contact each one. Opening every site, hunting for the contact page and copy-pasting addresses works for ten companies, not for a thousand. This guide shows how to crawl the whole list in one run and get one row per website with every public email, phone number and social profile, for $10 per 1,000 results.

What you get

The tool visits each website's pages (home, about, contact and whatever they link to, up to your page budget), collects every contact channel it finds and merges them into a single row per domain. Two hundred crawled pages still produce one usable lead, not two hundred fragments. A real row from a recorded run:

{
  "domain": "apify.com",
  "startUrl": "https://apify.com",
  "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.",
  "emails": [
    "[email protected]",
    "[email protected]",
    "[email protected]"
  ],
  "phones": [],
  "socials": {
    "discord": [
      "https://discord.com/invite/jyEM2PRvMU",
      "https://discord.gg/w3e2v7rWDw"
    ],
    "github": [
      "https://github.com/apify",
      "https://github.com/google-agentic-commerce",
      "https://github.com/mcp"
    ],
    "linkedin": [
      "https://linkedin.com/company/apify"
    ],
    "twitter": [
      "https://x.com/apify",
      "https://x.com/Adrnalnrsh",
      "https://x.com/DataVoyant"
    ],
    "tiktok": [
      "https://tiktok.com/@apifytech",
      "https://tiktok.com/@apifyoffice"
    ]
  },
  "whatsapp": [],
  "telegram": [],
  "discord": [
    "https://discord.com/invite/jyEM2PRvMU",
    "https://discord.gg/w3e2v7rWDw"
  ],
  "emailCount": 6,
  "phoneCount": 0,
  "pagesCrawled": 30,
  "scrapedAt": "2026-10-03T15:23:07.827Z"
}

Step-by-step

1. Open the tool and paste your websites into Websites — bare domains (example.com) and full URLs both work.
2. Keep Max pages per website at 30 and Max link depth at 2. Contact details almost always sit on the home, about and contact pages, so going deeper mostly adds cost and time.
3. Switch off Extract e-mails, Extract phone numbers or Extract social profiles if you only need one channel.
4. Click Start. When the run finishes, export to CSV or Excel for your CRM, or read the dataset through the API.

Run Email Extractor — Website Contact & Social Finder on Apify →

Call it from code

import json
import os
from apify_client import ApifyClient
client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("webdatatools/contact-extractor").call(run_input=json.loads("{\n    "startUrls": [\n        {\n            "url": "https://apify.com\"\n        }\n    ],\n    "maxPagesPerDomain": 30,\n    "maxDepth": 2\n}"))
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('webdatatools/contact-extractor').call({
    "startUrls": [
        {
            "url": "https://apify.com"
        }
    ],
    "maxPagesPerDomain": 30,
    "maxDepth": 2
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/acts/webdatatools~contact-extractor/run-sync-get-dataset-items" 
-H "Authorization: Bearer $APIFY_TOKEN" 
-H "Content-Type: application/json" 
-d '{"startUrls":[{"url":"https://apify.com"}],"maxPagesPerDomain":30,"maxDepth":2}'

Recipes

Google Maps search → contact list

Run a Google Maps search for your target niche and city (for example "dental clinic, Berlin"). Its results include a website column. Start this tool with inputDatasetId set to that run's dataset ID and inputField set to website: every business website is crawled and you get emails and social profiles next to the phone numbers Maps already gave you. No copy-pasting between runs.

Contact list → validated email list

Bounces hurt your sender reputation, so check addresses before the first send. Take this tool's dataset ID and start the Email Validator with inputDatasetId set to it and inputField set to emails. The emails array of every domain is flattened into one row per address, each with a syntax check, MX lookup, disposable/free-provider/role flags and a 0–100 score. Filter on deliverability and import only the good ones.

Find the social accounts of a competitor list

Turn off emails and phones, keep Extract social profiles on, and run your competitor domains. The socials object gives you every LinkedIn page, X account, YouTube channel and TikTok profile they link from their own site — a clean starting point for social monitoring.

How much does it cost?

Primary event rates from a catalog snapshot; this is not the total price of a run. Additional charge events and Actor Start fees may apply; start fees can scale with memory. Check the Actor's Pricing tab on Apify for all events, conditions and current plan-specific rates, and set a maximum run budget before starting.

Billing is per website, not per page. A site that takes 25 pages to crawl is still one result. Set Maximum cost per run in the run options and the tool trims its own website list to fit the budget instead of overspending.

How it compares

The two approaches combine well: use this tool for the company's own public channels (info@, sales@, press@, its social accounts) and a people database only where you need a named decision-maker.

Responsible use

Everything this tool returns is published on the company's own website. That still doesn't make every use lawful. Under the GDPR and similar laws (the UK GDPR, Turkey's KVKK), even a business email that contains a person's name is personal data: you need a lawful basis such as legitimate interest, you must tell people where you got their address when you first contact them, and you must honour opt-outs promptly. US commercial email falls under CAN-SPAM: identify yourself, include a working unsubscribe link and a physical address. Generic role addresses (info@, sales@) carry less risk than named ones. Crawl only sites you are allowed to crawl, and don't keep data you don't need.

FAQ

How accurate are the email addresses?

They are taken from mailto: links and the page source, then filtered through a blocklist that removes common false positives such as image file names, error-tracking keys and placeholder addresses. Unusual markup can still let some noise through, which is one more reason to run the list through the Email Validator before sending.

Why are there no phone numbers for a site that clearly shows one?

Phone numbers are only taken from tel: links. Scraping digits out of plain text produces far more wrong numbers than right ones, so numbers written only as text are skipped on purpose.

Can it find the email of a specific person?

Only if that address is published somewhere on the site. The tool doesn't guess patterns like firstname.lastname@ — it reports what the website actually shows.

Does it crawl subdomains like blog.example.com?

Not by default. Turn on Follow subdomains to include them.

Can I feed it from another tool's results?

Yes. Set inputDatasetId to another run's dataset and inputField to the column that holds the website (for example website or url). Those URLs are combined with anything typed into Websites.

What if a site blocks the crawler?

Add a proxy in Proxy configuration — Apify's datacenter proxy is enough for most sites and keeps runs cheap — or lower Max concurrency for sites that rate-limit.