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Website Contact & Email Extractor

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from $2.00 / 1,000 results

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Website Contact & Email Extractor

Website Contact & Email Extractor

Extract contact details from websites in bulk: emails, phone numbers and social profiles, plus the contact page. Turn a list of domains into a lead list.

Pricing

from $2.00 / 1,000 results

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Technical Dost Solutions

Technical Dost Solutions

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18 days ago

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Turn a list of websites into structured lead-generation data. This Actor scans each homepage and, optionally, likely contact, about, team, support, or impressum pages on the same domain. It extracts public email addresses, phone numbers, and major social profiles without paid APIs, API keys, or proxies.

Run it from n8n, Make, or Zapier, or on an Apify Schedule / API, to pull contacts from every new domain in your pipeline.

Input

FieldTypeRequiredDefaultDescription
urlsarray of stringsYesStripe and Basecamp samplesWebsite URLs or bare domains. Bare domains are normalized to https://.
crawlContactPagebooleanNotrueAlso scan likely contact and company-information pages.
maxPagesPerSiteintegerNo3Maximum pages per website, from 1 to 5 including the homepage.

Example input:

{
"urls": [
"https://stripe.com",
"basecamp.com"
],
"crawlContactPage": true,
"maxPagesPerSite": 3
}

Output

Each input website produces one dataset row:

  • url: normalized input URL
  • finalUrl: final homepage URL after redirects, or null when unavailable
  • title: homepage HTML title
  • emails: unique public email addresses found across scanned pages
  • phones: unique phone numbers with at least seven digits
  • socials: the first LinkedIn, Twitter/X, Facebook, Instagram, YouTube, and TikTok profile links found
  • contactPageUrl: first matching same-domain contact-style page, or null
  • pagesScanned: number of pages fetched and scanned successfully
  • fetchedOk: whether the homepage was fetched successfully

Example output:

{
"url": "https://example.org/",
"finalUrl": "https://www.example.org/",
"title": "Example Company",
"emails": ["hello@example.org"],
"phones": ["+1 415 555 0100"],
"socials": {
"linkedin": "https://www.linkedin.com/company/example"
},
"contactPageUrl": "https://www.example.org/contact",
"pagesScanned": 2,
"fetchedOk": true
}

How it works

Requests use a browser-like user agent, a 12-second timeout, redirect following, and two retries with backoff. Up to five websites are processed concurrently. A failure on one website still produces a row with fetchedOk: false and does not stop the rest of the run.

Only public website pages are read. Review each website's terms and applicable privacy and outreach laws before using extracted contact data.

How to use Website Contact & Email Extractor

  1. Open Website Contact & Email Extractor on Apify Store and click Try for free.
  2. Fill in the input (the form is prefilled with a working example) and click Start.
  3. Watch results appear in the Output tab, then download them as JSON, CSV, Excel or HTML, or read them through the API.
  4. Optional: save the input as a task and add a schedule to run it automatically, or connect it to your tools with integrations and webhooks.

How much does Website Contact & Email Extractor cost?

This Actor uses pay-per-event pricing: you pay only for what it delivers, and platform usage is included.

EventPrice
Actor start$5e-05 per run
Result (one dataset item)$0.002 each ($2.00 per 1,000)

Set Maximum cost per run in the run options to cap your spend; the Actor stops when the limit is reached. Check the Pricing tab for current prices and plan discounts.

Use Website Contact & Email Extractor with AI agents (MCP)

Give Claude, ChatGPT, Cursor, VS Code or any MCP client this Actor as a tool through the hosted Apify MCP server. The agent sees the input fields with descriptions and example values, runs the Actor, and reads the results.

MCP server URL (this Actor only):

https://mcp.apify.com/?tools=technicaldost/website-contact-extractor

Claude Code:

$claude mcp add --transport http apify "https://mcp.apify.com/?tools=technicaldost/website-contact-extractor" --header "Authorization: Bearer YOUR_APIFY_TOKEN"

Cursor, VS Code, Claude Desktop and other clients (mcp.json or the client's MCP settings):

{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com/?tools=technicaldost/website-contact-extractor",
"headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
}
}
}

Clients that support sign-in (such as Claude.ai connectors) can use the URL without a token and log in to Apify instead. Get your token in Apify Console → Settings → API & Integrations, or generate a ready config for your client at mcp.apify.com. In the agent the tool is named technicaldost--website-contact-extractor; ask it, for example, to "run Website Contact & Email Extractor with {"urls": ["https://apify.com", "https://github.com"], "crawlContactPage": true, "maxPagesPerSite": 3}".

AI agents without an Apify account can also run and pay for this Actor per request with x402 agentic payments.

Run Website Contact & Email Extractor via API

Run the Actor and get its results in one call (replace YOUR_APIFY_TOKEN):

curl -X POST "https://api.apify.com/v2/acts/technicaldost~website-contact-extractor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"urls": ["https://apify.com", "https://github.com"], "crawlContactPage": true, "maxPagesPerSite": 3}'

Python (pip install apify-client):

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("technicaldost/website-contact-extractor").call(run_input={"urls": ["https://apify.com", "https://github.com"], "crawlContactPage": true, "maxPagesPerSite": 3})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

JavaScript / TypeScript (npm install apify-client):

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('technicaldost/website-contact-extractor').call({"urls": ["https://apify.com", "https://github.com"], "crawlContactPage": true, "maxPagesPerSite": 3});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Long runs: start them with POST /v2/acts/technicaldost~website-contact-extractor/runs and fetch the dataset when the run finishes, or receive a webhook.

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  • Website RSS & Atom Feed Finder — Find every RSS, Atom and JSON feed a website publishes. Checks declared link tags, on-page links and well-know

FAQ

Can I use Website Contact & Email Extractor with AI agents like Claude or ChatGPT?

Yes. Connect the Apify MCP server with ?tools=technicaldost/website-contact-extractor (see above) and the agent can run the Actor and read its results on its own.

Can I call Website Contact & Email Extractor from my own code?

Yes. Use the REST API, or the official Python and JavaScript clients shown above. Results are available as JSON, CSV, Excel, XML or HTML.

How do I run it on a schedule?

Save your input as a task in Apify Console and add a schedule (for example, daily). Use webhooks or integrations to send each run's results onward.

It works with publicly available data. Make sure your use complies with the source website's terms and with data protection laws such as GDPR, especially for personal data.

Something doesn't work or I need a feature. What should I do?

Open an issue in the Issues tab on this Actor's page with an example input, and we'll look into it.