Data Sources

17 sources. One dashboard.

LinkedIn, Reddit, Google Maps, Twitter, Instagram, and more. Every platform your buyers live on — pulled, enriched, and exported in one place.

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Google

Instagram

Twitter / X

How to choose a source

Start from what you already have

Every workflow begins in one of four states, and the state picks the source. If you have a description of a person — role, seniority, industry, company size — Leads Finder turns that specification into contacts with verified emails at one credit each. If you have a place and a category, Google Maps is the right register. If you have a list of URLs or handles, you are enriching rather than discovering, which is what LinkedIn Profiles and the email sources are for. And if you have a topic but no people yet, Reddit and Twitter are where intent surfaces first.

Discovery and enrichment are different jobs

Discovery sources answer 'find me people matching this description'. Enrichment sources answer 'tell me more about these specific entities'. Enrichment costs more per result because each one involves visiting and parsing a page rather than querying an index — entirely reasonable for enrichment and completely wrong for discovery. Using LinkedIn Profiles at 30 credits to build a list that Leads Finder would produce at one is the single most expensive mistake available here.

Credit cost tracks the work, not the value

Prices range from one credit to fifty-five, and the spread reflects how much work each result takes to produce. A tweet plus its author profile is a small, cheap unit. A full LinkedIn profile page or a deep company record with founder detail is not. That makes source selection a cost decision as much as a data decision — and it means a tightly filtered run is both cheaper and better, because you are billed per result returned rather than per search.