Contact Scraper
Pricing
from $100.00 / 1,000 site analyzeds
Contact Scraper
This scraper finds emails, phones, contact forms, chat widgets, and social links, then captures the page signals AI agents and browser automation tools can use to find them again. Built for Claude, Cursor, Codex, and similar agents to click, fill, and navigate reliably.
Pricing
from $100.00 / 1,000 site analyzeds
Rating
0.0
(0)
Developer
Akula
Actor stats
0
Bookmarked
5
Total users
3
Monthly active users
a month ago
Last modified
Categories
Share
AI Website Contact Scraper
This scraper finds not only emails and phone numbers, but also contact forms, chat widgets, social links, and the page signals a browser automation agent can use to find those elements again.
Built for browser automation, it helps agents like Claude, Cursor, Codex, and OpenClaw understand how to reach a site and what to click, fill, or submit.
What it does
For each website, the scraper can find:
- emails
- phone numbers
- social profile URLs
- contact forms
- chat or support widgets
- automation-friendly selector hints for forms and widgets
In plain English: it tells your AI agent who to contact, where to go, and what to click or fill.
Why this is useful
Most contact scrapers stop at collecting emails.
This one goes further. When it finds a form or widget, it also returns the clues an AI browser needs to locate that element on the live page later. That makes it useful for:
- AI outreach agents
- browser automation
- lead enrichment
- sales research
- support workflow mapping
- contact-flow QA
Input
Apify-style input
{"startUrls": [{ "url": "https://example.com" }],"maxPagesPerDomain": 20}
Main input fields
startUrls— one or more seed URLsmaxPagesPerDomain— max pages to inspect per domain
Output
The scraper returns a JSON array. Each item contains the input URL and the contact targets found across that site.
[{"input_url": "https://example.com","domain": "example.com","targets": [{"page_url": "https://example.com/contact","confidence": { "level": "VERIFIED" },"emails": [],"phones": [],"contact_forms": [],"social_profiles": [],"contact_widgets": []}],"meta": {"site": null,"domain": null}}]
What you get back
Emails
Direct email addresses found on the page.
[{ "value": "contact@example.com" }]
Phones
Phone numbers, normalized when possible.
[{ "value": "+18668323090" }]
Social profiles
Social URLs like X, LinkedIn, Facebook, Instagram, and others.
[{ "network": "x", "value": "https://twitter.com/example" }]
Contact forms
When a form is found, the scraper returns field and submit hints your automation can use later.
Typical fields include:
field_locator_hintsform_locator_hintssubmit_locator_hintsform_signatureresolution_methodusage_notes
Short example:
{"method": "POST","resolution_method": "snapshot_ref","field_locator_hints": {"name": { "label": "Your Name", "id": "contact_form_Name" },"email": { "label": "Email Address", "id": "contact_form_Email" },"message": { "label": "Message", "id": "contact_form_Message" }},"submit_locator_hints": {"tag": "button","control_type": "submit","text": "Send Message"}}
Contact widgets
When a live chat or messaging widget is found, the scraper returns provider and launcher hints.
Typical providers include:
- LiveChat
- Crisp
- WhatsApp widget
- Intercom
- Drift
- Zendesk
- Tawk.to
Short example:
{"provider": "LiveChat","resolution_method": "snapshot_ref","widget_locator_hints": {"provider": "LiveChat","matched_by": ["script_host", "static_launcher"],"launcher_text": "Chat with us"}}
How AI browsers should use the selectors
Do not treat scraped CSS paths as permanent selectors.
Best workflow:
- Open
page_url - Take a fresh browser snapshot
- Match elements using label, text, id, placeholder, name, role, or aria-label
- Use the matched live element for fill/click actions
debug_css_path is only a backup clue for debugging.
Confidence
Each contact target includes a confidence level.
VERIFIED— strong contact signals confirmedLIKELY— good signal, but less certaintyPOSSIBLEorPLAUSIBLE— weaker or indirect signal
This helps your agent choose the best contact path first.
Good use cases
- find the best way to contact a company
- map forms and chat widgets before automation
- enrich leads with emails, phones, and socials
- power AI outreach workflows
- monitor whether contact paths changed on a site


