Website Email & Contact Finder
Pricing
Pay per usage
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Website Email & Contact Finder
Find email addresses, phone numbers, and social media links from any website. Crawls pages and extracts contact information automatically.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
oscar lira
Maintained by Community
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
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Crawls websites and pulls out email addresses, phone numbers, and social media links. Give it a list of URLs, it visits internal pages and collects everything it finds.
Uses Cheerio (no browser), so it's fast and cheap to run.
Input
{"urls": ["https://acme.com", "https://example.org"],"maxPages": 10}
urls(required) - List of websites to scan.maxPages- How many internal pages to follow per domain. Default: 10, max: 100.
Output
Each result is grouped by domain:
| Field | Type | Description |
|---|---|---|
domain | string | The website hostname |
emails | array | Email addresses found |
phones | array | Phone numbers (from tel: links and visible text) |
socialLinks | array | Links to Facebook, Twitter, LinkedIn, Instagram, YouTube, TikTok |
scrapedAt | string | ISO timestamp |
Example output
{"domain": "acme.com","emails": ["info@acme.com", "sales@acme.com"],"phones": ["+1 (555) 123-4567"],"socialLinks": ["https://facebook.com/acme", "https://linkedin.com/company/acme"],"scrapedAt": "2026-03-22T10:00:00.000Z"}
How it works
- Visits each URL you provide
- Follows internal links (same domain) up to
maxPages - Extracts emails via regex, phones from
tel:links + strict pattern matching, social links by domain - Deduplicates everything and groups by domain
- Only outputs domains where at least one email or phone was found
Pricing
Runs on Cheerio (HTTP-only, no browser) so compute costs are minimal. Expect ~$0.25-0.50 per 1,000 pages crawled on Apify platform.
Limitations
- Only finds emails/phones that are visible in the HTML. JavaScript-rendered content won't be picked up.
- Filters out image filenames that look like emails (e.g.,
banner@2x.png). - Phone extraction is intentionally strict to avoid false positives - some numbers in unusual formats may be missed.