Collect company social links, emails and phones from a list of websites in Python

Company websites already publish their social profiles and contact details; the annoying part is collecting them for a whole list of domains. Here is a small Python script that does it through an Apify Actor billed per website ($2 per 1,000 sites, and sites that fail to load are not charged).

The script

import os, requests

TOKEN = os.environ["APIFY_TOKEN"]
URL = ("https://api.apify.com/v2/acts/siftwright~contact-details-extractor/"
       "run-sync-get-dataset-items")

sites = ["https://www.python.org", "https://github.com", "https://www.mozilla.org"]
r = requests.post(URL, params={"token": TOKEN, "timeout": 90},
                  json={"startUrls": sites, "maxPagesPerDomain": 3}, timeout=120)
r.raise_for_status()

for row in r.json():
    print(row["domain"], row["status"], row["emails"], row["phones"],
          row["linkedin"], row["twitter"])

Real output

I ran exactly this on 2026-10-19. Each site returned status: "ok" with 3 pages scanned:

domain	linkedin	twitter / X	instagram	emails	phones
www.python.org	python-software-foundation	ThePSF	none	none	none
www.mozilla.org	mozilla-corporation	none	mozilla	none	none
github.com	github	github	github	none	none

Note the empty email and phone columns: these three sites simply don't publish an address on the pages scanned, and the Actor does not guess. Smaller company sites with a visible contact page are where emails and phones show up. Raise maxPagesPerDomain if the contact page is deeper in the site.

Pricing and limits

• One charge per website that loads, $0.002 each; dead domains are free.
• It reads public pages only: no logins, no proxies by default, so heavily protected sites may return a failed status.
• Fields per site: emails, phones, facebook, twitter, linkedin, instagram, youtube, pagesScanned.

Try it: Contact Details Extractor on Apify. It also works from AI agents through Apify's MCP server. More tools: siftwright.com.