Install
openclaw skills install website-email-scraper-apifyUse this skill when the user needs public business emails, phone numbers, social profiles, source URLs, and crawl diagnostics from website domains or URLs through the Website Email Scraper & Phone Finder Apify actor.
openclaw skills install website-email-scraper-apifyThis skill helps an AI agent run the Apify Website Email Scraper & Phone Finder actor for public website contact extraction from domains and URLs.
Default actor:
kWfD7C0WpHtIt8VAhx_guru/website-email-phone-finderhttps://apify.com/x_guru/website-email-phone-finderhttps://console.apify.com/actors/kWfD7C0WpHtIt8VAh/sourceUse this skill when a user asks to:
maxTotalChargeUsdresultMode: "emailsOnly" by default for email lead extraction.contactsOnly when phone numbers or social profiles are useful even without emails.allWebsites only when the user needs diagnostics for every submitted website.maxPagesPerWebsite at 3 for fast runs; use 5-10 when contacts are likely on staff, team, legal, imprint, or contact pages.includePersonalData=false when person-like emails or personal LinkedIn profile URLs should be excluded.maxTotalChargeUsd when spend matters.scripts/website_email_scraper_actor.py or call the Apify API directly.RUN_SUMMARY for diagnostics when counts are lower than requested.domains for bare domains and full website URLs.urls and startUrls can be normalized into domains by the runner for agent convenience.maxResults is the maximum number of saved dataset rows.resultMode must be emailsOnly, contactsOnly, or allWebsites.maxPagesPerWebsite must be 1-25; default is 3.concurrency must be 1-500; default is 100.requestTimeoutSecs must be 2-30; default is 5.extractPhones, extractSocials, includePersonalData, and sameDomainOnly are booleans.searchStringsArray, placeIds, locationQuery, or review fields to this website-only actor.maxTotalChargeUsd as an Apify run option, not inside actor input. The included script exposes it as --budget-usd.Use the Apify API token from the environment:
export APIFY_TOKEN='apify_api_xxx'
Never hardcode or print the full token in user-facing output.
The bundled script uses only Python standard library.
Run a quick domain email scrape:
APIFY_TOKEN='apify_api_xxx' \
python3 scripts/website_email_scraper_actor.py quick-domains \
--domains example.com apify.com \
--max-results 50 \
--budget-usd 1
Run with deeper contact-page discovery:
APIFY_TOKEN='apify_api_xxx' \
python3 scripts/website_email_scraper_actor.py quick-domains \
--domains centralrestaurante.com alchemist.dk caitlinmcweeney.com \
--max-results 100 \
--max-pages 5 \
--result-mode emailsOnly \
--budget-usd 1
Run custom JSON:
APIFY_TOKEN='apify_api_xxx' \
python3 scripts/website_email_scraper_actor.py run \
--input-file references/sample_input.json \
--budget-usd 1
{
"domains": ["centralrestaurante.com", "alchemist.dk", "caitlinmcweeney.com"],
"maxResults": 1000,
"resultMode": "emailsOnly",
"maxPagesPerWebsite": 3,
"concurrency": 100,
"requestTimeoutSecs": 5,
"extractPhones": true,
"extractSocials": true,
"includePersonalData": true,
"sameDomainOnly": true
}
{
"domains": ["example.com", "https://example.com/contact"],
"maxResults": 500,
"resultMode": "emailsOnly",
"includePersonalData": false,
"extractPhones": true,
"extractSocials": true
}
{
"domains": ["example.com", "apify.com"],
"maxResults": 100,
"resultMode": "contactsOnly",
"maxPagesPerWebsite": 5
}
The runner returns JSON:
okactorIdfetchedAtinputUseditemCountrows[]Rows are actor dataset items. Important groups:
input, url, domain, statusemails, emailDetails.email, emailDetails.type, emailDetails.sourceUrl, emailDetails.domainMatchphones, socialLinks, facebooks, instagrams, linkedIns, twitters, youtubes, tiktokscontactSignals, pagesFetched, fetchedUrls, httpStatusCodes, errors, durationMsFor the full contract, read references/input-output-contract.md.
RUN_SUMMARY.emails is empty in contactsOnly or allWebsites, explain that the row was saved due to phone/social/diagnostic data.maxTotalChargeUsd for any user concerned about spend.references/input-output-contract.mdreferences/sample_input.jsonreferences/troubleshooting.md