Outscraper alternative

An Outscraper alternative that qualifies the list for you

Outscraper and similar extraction services are built around volume: name a query, get rows, pay per record. That is genuinely useful if you are building a dataset. It is a different job from building a call list. FindLeadly queries the same category of public map data but applies the sales filters first — no website, thin reviews, weak rating — so what lands in the CSV is the subset worth a phone call.

Different tools for different jobs

Choose FindLeadly when

  • You want a call list, not a dataset
  • Qualification signals should be applied before export
  • Predictable flat monthly cost suits you better than per-row billing
  • Radius search from a postal code is central to your territory

Choose Outscraper when

  • You are assembling a large dataset for analysis
  • You need many sources beyond map listings
  • Pay-as-you-go at very low or very high volume fits better
  • You have your own pipeline to clean and filter output

FindLeadly vs Outscraper, side by side

FindLeadlyOutscraper
Product shapeSales tool with scoring and saved leadsData extraction service
OutputQualified leads with opportunity signalsRaw records for you to process
FiltersNo website, rating and review thresholds built inApplied downstream by you
Pricing modelFlat monthly plan, free tier availablePay per record or per task
Radius searchPostal code plus 5–250 km radiusQuery and location driven
Volume ceilingCapped by plan, up to 5,000 leads/moEffectively unbounded
WorkflowSearch, save, track status, exportExtract, download, process elsewhere
Best judged onLeads you contactedRows you obtained

Competitor details are summarised from publicly available information and change over time — check Outscraper directly for current pricing and packaging.

Rows are not leads

The failure mode of bulk extraction in a sales context is familiar: eight thousand rows downloaded, four hundred skimmed, none called. Volume feels like progress and creates none. The constraint that helps is a smaller list you have a reason to believe in — which is why the qualification step matters more than the extraction step for anyone selling rather than analysing.

Predictable cost

Per-record pricing is honest and hard to budget. Exploratory searching, the kind where you test three niches across two cities to see which market responds, quietly runs up a bill. A flat plan makes that experimentation free at the margin, which is when people actually do it — see the plans.

What happens after export

An extraction service hands you a file and its job ends. Here the leads persist: save the good ones, mark status as you work through them, and re-run the territory next month to see what changed. That continuity is the difference between a data purchase and a prospecting habit — covered in the local lead generation guide.

Frequently asked questions

Try it on one city first

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