log in sign up now
Deanonymize Website Traffic back to library
~ / library / IP Intelligence / deanonymize-website-traffic

Deanonymize Website Traffic

Resolve a batch of IPs to the companies behind them, then surface likely contacts at each - firmographics plus ranked person records and optional enrichment.
  • Resolve these IP addresses to companies and find likely contacts at each
  • Here's a list of visitor IPs - tell me which companies they are and who to reach out to

What this skill does

Takes a batch of IP addresses from web traffic logs and resolves them to the companies behind them, then surfaces likely contacts at each of those companies - firmographics plus ranked person records and optional contact enrichment.

This identifies the company behind an IP and likely people at that company - it does not identify the specific individual who visited. Expect strong company match rates; contact discovery varies with company size and data coverage. Not-found results at each step are free.

Chain

IP addresses
  └── ip_to_company                  (per-IP single call to company name + firmographics)
        └── search_people (company domain to ranked contacts at that company)
              └── optional enrich    (per-URL linkedin_to_best_email / linkedin_to_mobile_phone array up to 100)

Inputs

  • IP addresses - line-separated, CSV column, or server log format
  • Private IPs (10.x, 192.168.x, 172.16–31.x, 127.x) are automatically excluded

Output

IP Company (IP lookup) Contact Name Title Seniority LinkedIn Email
IPs processed:       200
Company matches:     143  (72%)
Companies w/ contacts: 121  (85% of matched)
Contacts surfaced:   ~480
Credits used:        ~XXX

Tips

  • A mandatory credit check runs before the chain starts - company match is the reliable number; contact volume varies by company
  • Contacts are surfaced by querying search_people with the company's domain (company_domain) - you can also narrow by seniority, department, country, or industry, and results come back ranked with title and seniority on each record
  • These are likely contacts at the company, not the confirmed visitor - frame output accordingly
  • ISP/residential IPs are flagged as "Residential/ISP - not a business" in output and skipped for contact lookup
  • If credits run out mid-batch, completed rows are output with the exact resume point
  • Processing 60–120+ seconds for any meaningful batch - set expectations accordingly
01 Download the .moltsets skill file below
02 Open Claude and go to Settings to Skills
03 Click Add skill and select the downloaded file
04 Open a new chat in Claude
05 Prompt Claude using one of the example prompts or use your own
// difficultyAdvanced
// connectionCSV, Google Sheets, Excel
// got a skill of your own? Submit it to the library