Free Email & Contact Scraper - Extract Emails From Any Website
Pricing
from $0.50 / 1,000 per record returneds
Free Email & Contact Scraper - Extract Emails From Any Website
Free email & contact scraper: extract emails, phone numbers & social profiles from any website or domain. MX-verified, best-contact picked, role/personal classified. Free to start, then pay-per-result β no subscription, no API keys, no seats. A cheap Apollo, Clay & Hunter alternative.
Pricing
from $0.50 / 1,000 per record returneds
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Scrapers Delight
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π§ Free Email & Contact Scraper - Extract Emails From Any Website
Free email & contact scraper β turn a list of websites into a list of leads. Paste any business websites or domains and it extracts emails, phone numbers, and social profiles from each site, picks the best contact, classifies it, and MX-verifies it. Free to start, then pay-per-result β a fraction of Apollo, Clay, Hunter, or ZoomInfo, with no subscription. Or skip the list and find local businesses by area + category.
No login. No credits-that-expire. No per-seat fees. Just websites in β verified contacts out.
Why this beats the big enrichment tools
| Apollo / ZoomInfo / Lusha | Clay | Hunter | This actor | |
|---|---|---|---|---|
| Model | Monthly plans + credits | Credits (expire) | Monthly plans | Pay-per-event β pay only for what you enrich |
| Cost | ~$0.02β0.10+ / contact + seats | ~$0.10+ / enrichment | $34β$349 / mo | from ~$0.003 / website, no subscription |
| Source | Their fixed database | Aggregates providers | Domain DB | The business's own live website |
| Lock-in | Seats, contracts | Credit packs | Plans | None β run it on Apify, export anywhere |
You bring the businesses (from anywhere β a CSV, a Maps export, our own lead actors); this gets you the contacts, cheap.
What it extracts (per website)
email (the best one) Β· email_confidence (high / medium / low) + email_confidence_reason Β· email_type (role / personal) Β· email_verified (MX-checked) Β· all emails Β· phone Β· socials (LinkedIn, Facebook, Instagram, X, YouTube, TikTok) Β· plus name, category, address, lat/lng when found via area search.
How it finds the email (most enrichers miss these):
- π¨
mailto:links, plain-text addresses, and addresses hidden in JSON/scripts - π‘οΈ Cloudflare-protected emails (decodes
data-cfemail) - π₯Έ Obfuscated formats (
name [at] domain [dot] com) - π§Ή Junk & placeholder filtering (
noreply@,user@domain.com, image filenamesβ¦) - π― Best-contact pick β prefers a real role inbox (
info@,sales@) on the company's own domain - β MX verification β confirms the domain actually accepts mail
- π
Confidence grade on every email β
high(the business's own domain and MX-verified),medium(own domain unconfirmed, or a related parent/sister-brand domain or brand mailbox),low(off-domain β eyeball before outreach). Sort byemail_confidenceto get your A-list in one click. Telemetry false-positives (Wix/Sentry tracking IDs) are filtered out automatically.
It crawls the homepage + contact / about / team / impressum pages (with a www/scheme fallback) β usually 1β10 pages.
How to use it
Enrich a list (the main mode)
{ "websites": ["acmeplumbing.com", "https://www.smithlaw.com"], "verifyEmails": true }
Or find businesses by area + category, then enrich
{ "searchArea": "Austin, TX", "categories": ["lawyer"], "verifyEmails": true }
Open the Dataset tab for results; export to CSV/JSON/Excel or pull via the Apify API into your CRM, Clay, n8n, or Make.
Pricing β the cheapest enricher anywhere
~$1 per 1,000 websites enriched (lot-scraped $0.0005 + lot-detail-enriched $0.0005) β and that one price gets you the email + phone + socials, MX-verified, no subscription, no seats, no expiring credits.
| Event | What it covers | Price / event |
|---|---|---|
lot-scraped | each business returned | $0.0005 |
lot-detail-enriched | each website crawled for contacts | $0.0005 |
monitor-run-completed | each scheduled watch run | $0.05 |
new-lot-detected | each newly-appearing business | $0.02 |
alert-delivered | each Slack/email/webhook alert | $0.005 |
Cost per 1,000 emails found vs. the market (you also get phone + socials, which most don't include):
| Per 1,000 emails | |
|---|---|
| This actor | β $2.50 (at ~40% hit) |
| Other Apify email scrapers | $3.50β$40 |
| Enrow (cheapest dedicated finder) | $12 |
| Hunter.io | $17β26 |
| Apollo.io | ~$49 |
| Lusha | ~$94 |
| Clay | $130+ |
| ZoomInfo | $3,000+ (annual contract) |
Pay-per-event means you only pay for what you run β no monthly minimum, no wasted credits.
Honest notes (no overselling)
- Email yield depends on the vertical. Professional & trade services (lawyers, accountants, agencies, contractors, plumbers, dentists) publish a contact email β high yield. Chains & restaurants often hide it behind a form β you still get phone + socials + website. Use Only keep businesses with an email for a pure email list.
- This finds emails from each business's own website β it is not a people-database of individual employees like Apollo/ZoomInfo. It's the cheap, honest "company contact" enrichment.
- Coverage for the area-search mode comes from OpenStreetMap (great for food/retail/hotels, growing for services) β the website-list mode works on any business you bring.
Legal & compliance
Emails are scraped from businesses' own public websites; names/addresses/phones are public facts. You are responsible for compliant use β follow GDPR / CAN-SPAM / CASL for any outreach (identify yourself, honor opt-outs). For B2B research and outreach. Review OpenStreetMap's ODbL attribution if you redistribute the listing data.
FAQ
Is this a Google Maps scraper? No β and on purpose. Listings come from OpenStreetMap (no anti-bot) and emails from each business's own website, so runs are reliable instead of fragile.
Will every site return an email? No β it depends on the site (see the yield notes). Socials + phone come back for nearly all.
What does email_verified mean? The email's domain has valid MX records (it can receive mail) β a real deliverability signal, not just a syntax check.
Can I just enrich my own list? Yes β that's the main mode. Paste websites/domains into websites.