Contact & Email Extractor — Phones & Socials

Contact & Email Extractor — Phones & Socials

Contact & Email Extractor extracts structured Contact & Email records, metadata, metrics, and direct links in real time. Built on a zero-browser HTTP/2 engine running in 256 MB RAM, it delivers normalized datasets with zero null fields ready for CSV, Excel, JSON, or API pipelines.

Looking for related scrapers? Check out Google Maps Scraper, Yelp Scraper, Tripadvisor Scraper, Trustpilot Scraper, or browse our full catalog of 118+ dedicated scrapers.

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What does Contact & Email Extractor do?

Extract verified business emails, phone numbers, addresses, and social media links (LinkedIn, Twitter, Facebook, Instagram, YouTube) from.... Compatible Make.com, Zapier, n8n, Sheets & Webhooks. 256MB RAM & sub-second speed.

Whether you need to monitor Contact & Email at scale, enrich B2B/B2C databases, or feed structured records into analytics and AI workflows, Contact & Email Extractor handles pagination, field normalization, and schema validation automatically:

• Bulk Data Extraction: Collect Contact & Email listings, items, and detailed attributes in batches using keywords, filters, or direct URLs.
• Complete Public Metadata: Capture identifiers, pricing/engagement metrics, author/vendor details, timestamps, and canonical URLs.
• Multi-Format Export: Download results in JSON, CSV, Excel (XLSX), XML, or HTML Table directly from the Apify Console.
• Ready for Automation & AI: Connect seamlessly to Apify Integrations (Make, Zapier, n8n, Google Sheets), REST API endpoints, or the Apify MCP Server.

Beyond the Official Contact & Email API

• No API Keys or Approval Delays: Start extracting public Contact & Email data immediately without registering developer apps or waiting for quota approvals.
• No Restrictive Rate Quotas: Bypass strict per-minute API limits and expensive enterprise tiers while capturing the complete public data points displayed on Contact & Email.
• 256 MB Zero-Browser Architecture: Uses native HTTP/2 and TLS session emulation instead of heavy Chromium instances, executing in seconds at a fraction of standard compute costs.

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What data can you scrape from Contact & Email?

Contact & Email Extractor extracts the following data points from Contact & Email:

🔗 Start URLs (startUrls)	📧 Crawl Contact Pages (crawlContactPages)	📧 Extract Emails (extractEmails)
📧 Extract Phones (extractPhones)	📝 Domain (domain)	🔗 URL (url)
📝 Title (title)	📝 Description (description)	📧 Emails (emails)
📧 Phones (phones)	🔗 Linkedin (linkedin)	📝 Twitter (twitter)

Data Category	Extracted Fields & Data Points
Identity & Core Identifiers	title (Title)
Details, Attributes & Context	crawlContactPages (Crawl Contact Pages), extractEmails (Extract Emails), extractPhones (Extract Phones), domain (Domain), description (Description), emails (Emails)
Direct Links, Media & Timestamps	startUrls (Start URLs), url (URL), linkedin (Linkedin), scrapedAt (Scraped At)

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Why scrape Contact & Email? (Typical Use Cases & Guides)

You can use Contact & Email Extractor for a wide range of data and business workflows:

• B2B Outbound Campaigns: Enrich domain lists with verified direct emails and phone numbers for sales outreach.
• Marketing Agency Lead Gen: Turn raw website URLs from Google Maps or directories into actionable contact sheets.
• CRM Enrichment: Automatically fill missing social profiles and contact info in HubSpot or Salesforce.
• AI Agents, RAG & LLM Knowledge Pipelines: Stream clean, structured Contact & Email JSON records into vector databases, Claude, GPT-4, or LangChain workflows.
• Automated BI Dashboards & Scheduled Alerts: Schedule daily or hourly runs and push live Contact & Email updates directly to Google Sheets, Looker Studio, Slack, or webhooks.
• Market Research & Competitor Analysis: Benchmark Contact & Email offerings, pricing strategies, and market share across regions.
• Lead Generation & CRM Enrichment: Build targeted prospect lists and sync verified records straight into HubSpot, Salesforce, or Clay.
• AI Agents & RAG Pipelines via MCP: Connect live Contact & Email data directly to Claude Desktop, Cursor, or LangChain agents.

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How to scrape Contact & Email data

Contact & Email Extractor is designed for a zero-configuration start, even if you have never scraped data before:

1. Create a free Apify account using your email (includes $5.00 in free monthly credits).
2. Open Contact & Email Extractor and click on the Input tab — all required fields are already pre-filled with a working example.
3. Enter your search terms, target URLs, or filter criteria (or keep the default pre-filled configuration for an instant 1-Click test).
4. Click the green "Start" button and wait a few seconds for the data to be extracted.
5. Download your dataset in JSON, CSV, Excel (XLSX), or HTML, or fetch it via the API tab.

For more technical details on every parameter, check out the Input Schema tab or read the Apify Platform Documentation.

🔗 How to scrape Contact & Email by Search Term or Direct URL

Scraping by Search Term / Filter 🔑	Enter keywords, categories, or filter parameters just as you would search on Contact & Email. Set the maximum number of items you want to extract and click Start.
Scraping by Direct URL 🔗	Paste one or more direct Contact & Email links (or import a list of URLs from a Google Sheet / CSV) to extract targeted item or profile details in bulk.

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⬇️ Input Configuration & Examples

To start scraping Contact & Email, fill in the visual input form in the Apify Console or pass a JSON payload via the API. Full technical specifications are available on the Input Schema tab.

Input Parameters Reference

Parameter	Type	Default / Prefill	Description
startUrls	array	["https://apify.com"]	List of company websites or domain names to extract contact info from (e.g. 'stripe.com', 'https://openai.com').
crawlContactPages	boolean	true	Automatically check /contact, /about, /team, and /legal pages for deeper email and phone discovery.
extractEmails	boolean	true	Extract decoded emails and mailto links from page content.
extractPhones	boolean	true	Extract international telephone numbers and tel: links.
extractSocials	boolean	true	Extract company LinkedIn, Twitter/X, Facebook, Instagram, YouTube, and GitHub links.
onlyCorporateEmails	boolean	false	Filter out generic free email providers (gmail, yahoo, hotmail, outlook) to keep only business emails (@company.com).
sameDomainOnly	boolean	true	Strictly prevent the crawler from following external third-party hyperlinks.
extractMetaDescription	boolean	true	Extract the website title and meta description tag for CRM company profiling.
maxDepth	integer	2	Maximum number of subpages to crawl per website domain.
proxyConfiguration	object	{"useApifyProxy":true}	Apify proxy settings (Datacenter or Residential).

Example 1: Standard Extraction (1-Click Default)

{
  "startUrls": [
    "https://apify.com"
  ],
  "crawlContactPages": true,
  "extractEmails": true,
  "extractPhones": true
}

Example 2: Filtered & Batch Extraction

{
  "startUrls": [
    "https://openai.com"
  ],
  "crawlContactPages": true,
  "extractEmails": true,
  "extractPhones": true,
  "extractSocials": true,
  "onlyCorporateEmails": true,
  "sameDomainOnly": true,
  "extractMetaDescription": true,
  "maxDepth": 4
}

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⬆️ Output Example (Table View, JSON & Fields Reference)

The scraped results are stored in a structured Apify Dataset available in the Storage tab. Below is a preview of the dataset in both Table View (CSV/Excel format) and JSON format.

Table View (CSV / Excel Dataset Preview)

Start URLs	Crawl Contact Pages	Extract Emails	Extract Phones
https://apify.com	true	true	true
https://apify.com	true	true	true
https://apify.com	true	true	true

JSON Output Example

{
  "startUrls": [
    "https://apify.com"
  ],
  "crawlContactPages": true,
  "extractEmails": true,
  "extractPhones": true
}

Output Fields Reference

Field Name	Type	Description
startUrls	array	Extracted start urls value.
crawlContactPages	boolean	Extracted crawl contact pages value.
extractEmails	boolean	Extracted extract emails value.
extractPhones	boolean	Extracted extract phones value.
domain	string	Root domain of the website
url	string	Initial target URL
title	string	Website home page title
description	string	Meta description or company summary
emails	array	List of discovered verified email addresses
phones	array	List of discovered business phone numbers
linkedin	array	Discovered LinkedIn company or profile URLs
twitter	array	Discovered Twitter / X profile URLs
facebook	array	Discovered Facebook page URLs
instagram	array	Discovered Instagram profile URLs
youtube	array	Discovered YouTube channel URLs
github	array	Discovered GitHub organization or profile URLs
pagesCrawled	array	List of subpage URLs inspected on this domain
scrapedAt	string	ISO timestamp of extraction

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🔗 Scrape any data you need with dedicated scrapers

Combine Contact & Email Extractor with our other dedicated scrapers from @RBBscrap if you want to extract specialized data across platforms:

🔹 Google Maps Scraper	🔹 Yelp Scraper	🔹 Tripadvisor Scraper
🔹 Trustpilot Scraper	🔹 Clutch.co Scraper	🔹 Reddit Scraper

Scraper	Extracted Data & Primary Use Case
Google Maps Scraper	Places, Leads & Emails
Yelp Scraper	Local B2B Business Leads & Directory
Tripadvisor Scraper	Hotels & Attractions
Trustpilot Scraper	Reviews & Ratings
Clutch.co Scraper	B2B Agencies, Reviews & Rates
Reddit Scraper	Posts, Comments & Subreddits

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⚠️ Error Items & Resilience Reference

Contact & Email Extractor is engineered to process multi-query and batch runs resiliently without crashing if a single query or URL fails:

Status / Code	Meaning & Automatic Handling
OK	Record successfully extracted, validated, and normalized with zero null fields.
DEFAULT_PREFILL_APPLIED	When an empty input payload {} is submitted, the Actor automatically applies its built-in default query so 1-Click runs always succeed.
RATE_LIMIT_RETRY	Transient HTTP 429 / 503 responses trigger automatic retry with exponential backoff and session rotation.
INVALID_TARGET_SKIPPED	Unreachable or malformed target items in a batch are logged with [WARN] and skipped without interrupting the run.

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❓ Frequently Asked Questions (FAQ)

How much does scraping Contact & Email cost?

Contact & Email Extractor uses transparent Pay-Per-Event (PAY_PER_EVENT) pricing set 10x cheaper than the market leader ($\div 10$):

• Event Rate: $0.0004 per Scraped Contact & Email Extractor Record ($0.4 per 1,000 items).
• 🎁 1st Run 100% FREE: Your very first execution is 100% free ($0.00 event charges are applied on your initial run).
• Apify Free Plan ($5.00/month included): Every Apify account receives $5.00 in free monthly credits, which is enough to extract up to ~12,500 items per month for free.
• View full details on the Pricing tab and the Apify Pricing page.

Can I integrate Contact & Email Extractor with Make, Zapier, n8n, or Google Sheets?

Yes. Contact & Email Extractor can be connected with almost any cloud service or web app thanks to integrations on the Apify platform, including Make, Zapier, n8n, Slack, Airbyte, Google Sheets, Google Drive, and webhooks.

Can I use Contact & Email Extractor with the Apify API (Python & Node.js)?

Yes. The Apify API gives you programmatic access to run Contact & Email Extractor, schedule jobs, and fetch datasets. Use the apify-client PyPI package for Python or the apify-client NPM package for Node.js, or check the Apify API Reference:

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")

run = client.actor("rbbscrap/contact-info-scraper").call(run_input={
    "startUrls": ["https://apify.com"],
    "crawlContactPages": True,
    "extractEmails": True,
    "extractPhones": True
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Node.js (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_API_TOKEN' });

const run = await client.actor('rbbscrap/contact-info-scraper').call({
    startUrls: ["https://apify.com"],
    crawlContactPages: true,
    extractEmails: true,
    extractPhones: true
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Can I use Contact & Email Extractor through an MCP Server (Claude Desktop, Cursor, AI Agents)?

Yes. With the Apify API, you can use Contact & Email Extractor in conjunction with an MCP server to connect directly to Claude Desktop, Cursor, Windsurf, or LibreChat. Read the official guide on how to set up Apify Actors with MCP, or go to the MCP tab:

1. Start a Server-Sent Events (SSE) session to receive a sessionId.
2. Send API messages using that sessionId to trigger Contact & Email Extractor with your input parameters.
3. Receive structured Contact & Email dataset records directly inside your AI agent conversation.

Do I need residential proxies or login cookies to scrape Contact & Email?

No. Contact & Email Extractor operates on a zero-browser HTTP/2 protocol engine (256 MB RAM) and works out-of-the-box without requiring login cookies or external proxies for standard workloads. For high-volume enterprise runs, you can optionally use Apify Proxy in the input configuration.

Is it legal to scrape data from Contact & Email?

Our scrapers are ethical and do not extract any private user data behind login walls. They only extract what is shared publicly on the web. However, please keep in mind that personal data is protected by GDPR (EU Regulation 2016/679) and other regulations worldwide. You should not scrape personal data unless you have a legitimate legal basis. Read more in Apify's guide on the legality of web scraping.

Your feedback & support

We are continuously improving the performance of our Actors. If you have any technical feedback for Contact & Email Extractor, need a custom feature, or found a bug, please create an issue on the Actor's Issues tab in the Apify Console.