Website Contact & Email Scraper

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Extract emails, phone numbers and social links from any list of websites — with contact-page crawling, a JS-render fallback for SPA sites, and email validation. Built for bulk B2B lead enrichment. Pay per result.

What it does

Give it a list of websites (plain URLs, bare domains, or objects with a url/website field). For each site it:

1. Fetches the homepage.
2. Optionally crawls common contact pages (/contact, /contact-us, /about, /about-us).
3. Extracts every email, phone number and social profile — LinkedIn, Facebook, Twitter/X, Instagram, YouTube, TikTok, Telegram, WhatsApp, GitHub and Pinterest — from mailto:/tel: links, visible text, and inline JSON/JSON-LD (many sites only ship their socials inside a Next.js data blob, which an anchor-only scraper misses).
4. Validates each email (syntax), tags role (info@, sales@) and no-reply addresses, and can drop them on request.
5. JS-render fallback: when a homepage is an empty single-page-app shell, it re-fetches with a full browser profile to recover contacts the plain crawler would miss.

One row is pushed per website → pay-per-result ready, export to CSV/JSON/Excel.

Input

Output (one row per site)

{
"website":"https://acme.com",
"domain":"acme.com",
"emails":["jane@acme.com","info@acme.com"],
"emailDetails":[
{"email":"jane@acme.com","type":"personal","valid":true},
{"email":"info@acme.com","type":"role","valid":true}
],
"phones":["+15125550123"],
"linkedin":"https://linkedin.com/company/acme",
"facebook":null,"twitter":"https://x.com/acme","instagram":null,
"youtube":"https://www.youtube.com/acme","tiktok":null,
"telegram":null,"whatsapp":null,"github":null,"pinterest":null,
"hasEmail":true,"hasPhone":true,
"emailCount":2,"phoneCount":1,
"pagesScanned":3,"jsFallbackUsed":false,
"status":"scraped","error":null,
"scrapedAt":"2026-06-20T00:00:00.000Z"
}

status is one of scraped, no_contacts_found, unreachable, error — so a single bad site never breaks the run.

Notes on accuracy

Social detection is host-anchored (parses each link's host) rather than naive substring matching, so a URL like measure-ux.com is never mis-tagged as Twitter/X — a class of false positive that simple .includes("x.com") scrapers produce. The biggest entrenched incumbent in this category is very strong (15+ platforms, optional paid email verification); this actor is the cheaper, no-add-on option with solid 10-platform coverage, the JSON-blob fallback above, and per-email role/no-reply typing for clean segmentation.