LeadOcean + LinkedIn URL: find lookalike profiles

You paste one LinkedIn URL and get back a list of people who hold the same kind of job: same job level, same function, same country. LeadOcean has no one-click lookalike button. You build it from two calls: enrich the seed, then search with the seed's attributes as filters.

How it works

1. Trigger. Take the seed profile URL, for example https://www.linkedin.com/in/jane-doe-example. Run it from a script, a webhook handler or a CSV row.

1. Enrich the seed. Call POST /v1/people/enrich with linkedin_url. You get the current title, job level, job function and country. It costs one record, and a miss is a 404 that costs nothing.

1. Turn attributes into filters. Map the seed's values to the search filters title, jobLevel, jobFunction and country. Enum values are exact strings, so check them with list_enum_values first (free).
2. Size the list. Send count=true with limit=1 as a query parameter on the search. It is free. meta.total is capped at 100,000.
3. Pull the lookalikes. Call /v1/people/search and page with cursor. One search pages to 10,000 rows. When meta.depthCapped is true, add a filter instead of walking further.

1. Send the result on. Write rows to a sheet, your CRM or a file. For more than a page or two, use POST /v1/exports or the Exports page in app.leadocean.io (bulk CSV is not on Free).

Configuration

Step 2, enrich the seed:

curl -X POST https://api.leadocean.io/v1/people/enrich \
  -H "x-api-key: $LEADOCEAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"linkedin_url": "https://www.linkedin.com/in/jane-doe-example"}'

Steps 4 and 5, size then search. Values below are placeholders for what step 2 returned:

curl -X POST "https://api.leadocean.io/v1/people/search?count=true" \
  -H "x-api-key: $LEADOCEAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"title": ["Head of Growth"], "jobLevel": ["Director"],
       "jobFunction": ["Sales & Business Development"],
       "country": ["US"], "limit": 1}'

The seed fields sit under data in the enrich response (LeadOcean docs). Lookalike quality depends on how tight the filters are, so start narrow and widen only if the count is too small. Drop count=true and set limit up to 100 to fetch rows. In an MCP client such as Claude, the same flow uses leadocean_get_lead for the seed, then leadocean_count_leads and leadocean_search_leads.

Field mapping

Cost at 10,000 rows

On LeadOcean, 10,000 lookalikes plus the seed is 10,001 records. Free holds 1,000 records for life, so it proves the recipe but not the volume. Solo at $97 a month covers it: 100k search records every 5 hours, bulk CSV included. See pricing.

FullEnrich charges 0.25 credits per person returned by search, so 10,000 rows is 2,500 credits before any enrichment (credit costs, September 2026). The 5,000-credit tier is $255 a month at list, or the 60,000-credit-a-year tier at $232 a month billed yearly (pricing, September 2026).

Troubleshooting

FAQ