Head-to-head · B2B data

Forager vs Lusha

Forager wins 17 of 25 decided metrics across 3 shared suites; the loser still leads where its column is highlighted. Same frozen test sets, same run; the better value in each row is highlighted.

Forager
17
People, organisation and job-post APIs for sourcing and talent intelligence, with contact reveal.
★ 5.0 · 1 reviewsA (excellent, 4.6 or above)
Access: API · Dataset · Batch · Webhooks · Integrations
Lusha
8
Sales intelligence with contact and company data, enrichment, signals and recommendations; extension and API v3.
★ 4.2 · 2,066 reviewsB (strong, 4.2 to 4.5)
Access: MCP · API · CSV · Batch · Webhooks · Integrations
Email Datacore + suite-specific metrics
updated 2026-09-25
Metric Forager · #28 of 29 Lusha · #18 of 29
Match rate4.1%71.7%
Valid email rate50.0%62.8%
Latency p50-847ms
Cost / valid email$0.190$0.486
Invalid rate0.0%4.7%
Catch-all share50.0%30.2%
Business email100.0%100.0%
Right-person rate100.0%97.7%
Decoy hit rate-0.0%
Catch-all detection--
Confidence-score quality--
Geographic coverage16
Phone Datacore + suite-specific metrics
updated 2026-09-25
Metric Forager · #19 of 24 Lusha · #6 of 24
Match rate42.9%81.6%
Valid / reachable rate90.5%87.5%
Latency p50-739ms
Cost / mobile number$0.316$0.974
Right-person rate100.0%90.5%
Mobile coverage38.8%67.3%
Disconnected rate0.0%0.0%
Low-activity share9.5%12.5%
Landline / mobile classification-100.0%
Country accuracy90.5%85.0%
Geographic coverage710
People Datacore + suite-specific metrics
updated 2026-09-25
Metric Forager · #8 of 24 Lusha · #23 of 24
Profile match rate95.9%89.8%
Identity accuracy97.9%97.7%
Latency p50-739ms
Price / matched profile$0.020$0.122
Current employer accuracy91.5%93.2%
Move detection--
Decoy hit rate--
Job title accuracy85.1%81.8%
Seniority label accuracy-73.8%
Location accuracy95.7%95.5%
Work history completeness8.60.8
Education completeness100.0%0.0%
Skills present91.5%0.0%
Social / profile URLs100.0%100.0%
Coverage by geo / function / seniority83.3%66.7%
Company Datacore + suite-specific metrics
updated 2026-09-25
Metric Forager · not measured Lusha · #12 of 23
Domain-to-company match rate-99.0%
Company name accuracy-94.9%
Latency p50-778ms
Price / matched company-$0.219
Industry accuracy-42.4%
Employee count ±20%-27.0%
HQ / location accuracy-83.8%
Description present-99.0%
Founding year accuracy-71.7%
Domains / social profiles-98.0%
Coverage by country / size-95.0%
Technographic Datacore + suite-specific metrics
updated 2026-09-25
Metric Forager · #5 of 10 Lusha · not measured
Coverage95.0%-
Detection accuracy63.5%-
Latency p50--
Cost / lookup$0.020-
Live stack recall44.0%-
Technologies per domain64-
Dated results0.0%-
Coverage by geo / size85.0%-

Questions about Forager vs Lusha

Which is better, Forager or Lusha?

Forager wins 17 of the 25 metrics decided between them, across 3 benchmarks that measured both. Leaderboard ranks: Email Data: Forager #28 of 29, Lusha #18 of 29; Phone Data: Forager #19 of 24, Lusha #6 of 24; People Data: Forager #8 of 24, Lusha #23 of 24.

Which is cheaper, Forager or Lusha?

Measured on the list price of each provider's central self-serve pack, divided by what it actually returned: Email Data, cost per valid email: Forager $0.190, Lusha $0.486; Phone Data, cost per mobile number: Forager $0.316, Lusha $0.974; People Data, price per matched profile: Forager $0.020, Lusha $0.122.

How do Forager and Lusha compare in user reviews?

Forager holds 5.0 / 5 across 1 reviews on G2; Lusha holds 4.2 / 5 across 2,066 reviews on G2 and Capterra. Ratings belong to their platforms and play no part in the benchmark grades.

How can you get data out of Forager and Lusha?

Forager offers an API, dataset delivery, batch endpoints, webhooks and native integrations; Lusha offers an MCP server, an API, CSV export, batch endpoints, webhooks and native integrations. Both offer an API, batch endpoints, webhooks and native integrations.

Compare Forager with another provider

Suggest a data provider

Not automatic, on purpose: a human has to get access (or request it when there's no self-serve), plug in an API key, adapt the frozen test files to the provider's schema, then run the suites. Leave the details below and we'll take it from there, usually within a few weeks.