Sales and research scripts often start with "get me a contact address for each company on this list." Here is a small Python script that does it with the Contact Details Extractor Actor on Apify, plus the real output from a test run today.
What it returns
For each website you give it, the Actor scans the home page and a few likely contact pages and returns emails, phones and social profile links. Only addresses actually found on the pages are returned (no guessing, no pattern-generated emails).
Python
from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("siftwright/contact-details-extractor").call(run_input={ "startUrls": ["https://stripe.com", "https://www.python.org", "https://apify.com"], "maxPagesPerDomain": 3, }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["domain"], item["emails"], item["phones"], item["linkedin"]) Real output (test run, 3 sites, 3 pages each)
| domain | emails | phones | |
|---|---|---|---|
| stripe.com | sales@stripe.com | +1 888 926 2289 | yes |
| apify.com | hello@apify.com | none found | yes |
| www.python.org | none found | none found | yes |
Note the honest part: python.org's scanned pages publish no email, so the result is an empty list. A status field tells you whether the site loaded, and you can see how many pages were scanned.
Pricing
Pay per event: about $0.002 per website. The three-site test above cost well under a cent. New Apify accounts get free monthly credit, so you can try it without paying.
curl
curl -X POST "https://api.apify.com/v2/acts/siftwright~contact-details-extractor/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"startUrls":["https://apify.com"],"maxPagesPerDomain":3}' Try it: https://apify.com/siftwright/contact-details-extractor . It also works from AI agents through Apify's MCP server.
