Website Contact & Lead Scraper Pro

Extract every piece of contact information from any website -- emails, phone numbers, social media profiles, physical addresses, contact forms, and tech stack -- all in one run.

How It Works

┌─────────────────────┐
                    │   Your URL List      │
                    │  (startUrls input)   │
                    └─────────┬───────────┘
                              │
                              ▼
                    ┌─────────────────────┐
                    │   Visit Homepage     │
                    │  Extract contacts    │
                    └─────────┬───────────┘
                              │
                 ┌────────────┼────────────┐
                 ▼            ▼            ▼
          ┌───────────┐ ┌──────────┐ ┌──────────┐
          │ /contact   │ │ /about   │ │ /team    │
          │ page       │ │ page     │ │ page     │
          └─────┬─────┘ └────┬─────┘ └────┬─────┘
                │            │            │
                └────────────┼────────────┘
                             ▼
                   ┌──────────────────┐
                   │  Deduplicate &   │
                   │  Structure Data  │
                   └────────┬─────────┘
                            ▼
                   ┌──────────────────┐
                   │  Clean Output    │
                   │  per website     │
                   └──────────────────┘

The actor visits each website you provide, automatically discovers contact and about pages by scanning navigation and footer links plus trying common URL paths, and then extracts every contact signal it can find. Results are deduplicated and structured into a single clean record per website.

Features

Feature	This Actor	Basic Email Scrapers
Email extraction (text + mailto)	Yes	Partial
Phone number extraction	Yes	No
Social media profiles (LinkedIn, X, FB, IG, YT)	Yes	No
Physical address detection	Yes	No
Contact form URL detection	Yes	No
Tech stack identification (25+ technologies)	Yes	No
Email classification (personal / department / generic)	Yes	No
Multi-page crawling (contact, about, team pages)	Yes	No
Generic email filtering (noreply, admin, etc.)	Yes	No
Company name extraction	Yes	No
Pay-per-event pricing	Yes	Rare

Use Cases

• Sales teams: Build prospect lists with verified contact details before cold outreach. Know which technology stack a company uses to tailor your pitch.
• Marketing agencies: Audit client competitors and find decision-maker emails and social profiles in seconds instead of hours.
• Recruiters: Find hiring manager contacts and company pages across social platforms for direct outreach.
• Market researchers: Compile industry contact databases with phone numbers, addresses, and technology usage data.
• PR professionals: Build media lists by scraping news sites and blogs for editor and journalist contact information.
• Freelancers: Find potential client emails and phone numbers from a list of target companies.

Input Example

{
    "startUrls": [
        { "url": "https://example.com" },
        { "url": "https://another-site.org" }
    ],
    "maxPagesPerSite": 5,
    "extractTechStack": true,
    "filterGenericEmails": true,
    "maxConcurrency": 5
}

Input Parameters

Parameter	Type	Default	Description
startUrls	array	(required)	List of website URLs to scrape
maxPagesPerSite	integer	5	Max internal pages to crawl per site (1-20)
extractTechStack	boolean	true	Detect technologies used on the site
filterGenericEmails	boolean	true	Remove noreply@, admin@, webmaster@, etc.
maxConcurrency	integer	5	Parallel browser instances (1-20)
proxyConfiguration	object	none	Apify proxy settings for avoiding blocks

Output Example

{
    "url": "https://example.com",
    "companyName": "Example Corp",
    "emails": [
        { "email": "john.doe@example.com", "source": "contact", "type": "personal" },
        { "email": "sales@example.com", "source": "homepage", "type": "department" }
    ],
    "phones": [
        { "number": "+1 (555) 123-4567", "source": "homepage", "type": "main" }
    ],
    "socialProfiles": {
        "linkedin": "https://linkedin.com/company/example",
        "twitter": "https://twitter.com/example",
        "facebook": "https://facebook.com/example"
    },
    "address": "123 Main St, Suite 100, San Francisco, CA 94102",
    "contactFormUrl": "https://example.com/contact",
    "techStack": ["Google Analytics", "Mailchimp", "WordPress"],
    "pagesScraped": 3,
    "scrapedAt": "2026-03-09T12:00:00.000Z"
}

Pricing

This actor uses pay-per-event pricing. You are charged per website scraped (not per page). Each site counts as one event regardless of how many internal pages are crawled.

Event	Cost
site-scraped	Charged once per root website URL

You only pay for sites that are successfully scraped. Failed requests are not charged.

Tips for Best Results

1. Use proxies for scraping more than a few sites to avoid IP blocks.
2. Start with maxPagesPerSite: 3 for quick runs, increase to 10-20 for thorough extraction.
3. Keep filterGenericEmails: true to get actionable contacts instead of unmonitored inboxes.
4. Batch your URLs -- the actor handles hundreds of sites efficiently with concurrent crawling.
5. Check the type field on emails: "personal" emails (like john.doe@company.com) have the highest response rates for outreach.

Frequently Asked Questions

Q: How many emails does it typically find per site? A: It varies widely. Business sites with a team page can yield 5-20+ personal emails. Smaller sites may have 1-3. The actor checks multiple pages to maximize coverage.

Q: Does it work on JavaScript-heavy sites? A: Yes. The actor uses Puppeteer (headless Chrome), so it fully renders JavaScript, single-page apps, and dynamically loaded content before extraction.

Q: What counts as a "personal" vs "department" email? A: Emails like john.doe@company.com or jane_smith@company.com are classified as "personal." Emails like sales@, info@, or support@ are "department." Everything else is "generic."

Q: Can I scrape social media sites directly? A: This actor is designed to extract social links FROM websites, not to scrape social platforms themselves. For LinkedIn or Twitter scraping, use dedicated actors.

Q: How does tech stack detection work? A: The actor scans the page HTML for known patterns -- script URLs, meta tags, CSS frameworks, and tracking pixels. It recognizes 25+ technologies including WordPress, Shopify, React, HubSpot, and Google Analytics.

Q: What happens if a site blocks the scraper? A: The actor retries failed requests up to 2 times. Using Apify proxy configuration significantly reduces blocks. Sites that still fail are skipped without being charged.

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