Head-to-head · B2B data

Forager vs People Data Labs

Forager wins 16 of 23 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

People, organisation and job-post APIs for sourcing and talent intelligence, with contact reveal.

★ 5.0 · 1 reviewsA

Access: API · Dataset · Batch · Webhooks · Integrations

People Data Labs

Dataset-first people, company and job-posting data: search / enrichment APIs, batch CSV enrichment and licensed datasets.

★ 4.3 · 17 reviewsB

Access: API · CSV · Dataset · Batch · Integrations

Email Datacore + suite-specific metrics

updated 2026-09-25

Metric	Forager · #28 of 29	People Data Labs · #20 of 29
Match rate	4.1%	69.4%
Valid email rate	50.0%	52.9%
Latency p50	-	672ms
Cost / valid email	$0.190	$0.654
Invalid rate	0.0%	11.8%
Catch-all share	50.0%	35.3%
Business email	100.0%	100.0%
Right-person rate	100.0%	100.0%
Decoy hit rate	-	0.0%
Catch-all detection	-	-
Confidence-score quality	-	-
Geographic coverage	1	9

Phone Datacore + suite-specific metrics

updated 2026-09-25

Metric	Forager · #19 of 24	People Data Labs · #15 of 24
Match rate	42.9%	59.2%
Valid / reachable rate	90.5%	89.7%
Latency p50	-	672ms
Cost / mobile number	$0.316	$0.511
Right-person rate	100.0%	82.6%
Mobile coverage	38.8%	46.9%
Disconnected rate	0.0%	0.0%
Low-activity share	9.5%	10.3%
Landline / mobile classification	-	100.0%
Country accuracy	90.5%	79.3%
Geographic coverage	7	7

People Datacore + suite-specific metrics

updated 2026-09-25

Metric	Forager · #8 of 24	People Data Labs · #13 of 24
Profile match rate	95.9%	95.9%
Identity accuracy	97.9%	95.7%
Latency p50	-	672ms
Price / matched profile	$0.020	$0.240
Current employer accuracy	91.5%	93.6%
Move detection	-	40.0%
Decoy hit rate	-	0.0%
Job title accuracy	85.1%	80.9%
Seniority label accuracy	-	65.8%
Location accuracy	95.7%	93.6%
Work history completeness	8.6	7.7
Education completeness	100.0%	95.7%
Skills present	91.5%	89.4%
Social / profile URLs	100.0%	95.7%
Coverage by geo / function / seniority	83.3%	66.7%

Company Datacore + suite-specific metrics

updated 2026-09-25

Metric	Forager · not measured	People Data Labs · #8 of 23
Domain-to-company match rate	-	100.0%
Company name accuracy	-	95.6%
Latency p50	-	524ms
Price / matched company	-	$0.075
Industry accuracy	-	80.0%
Employee count ±20%	-	16.7%
HQ / location accuracy	-	75.6%
Description present	-	97.8%
Founding year accuracy	-	64.4%
Domains / social profiles	-	100.0%
Coverage by country / size	-	100.0%

Technographic Datacore + suite-specific metrics

updated 2026-09-25

Metric	Forager · #5 of 10	People Data Labs · not measured
Coverage	95.0%	-
Detection accuracy	63.5%	-
Latency p50	-	-
Cost / lookup	$0.020	-
Live stack recall	44.0%	-
Technologies per domain	64	-
Dated results	0.0%	-
Coverage by geo / size	85.0%	-

Questions about Forager vs People Data Labs

Which is better, Forager or People Data Labs?

Forager wins 16 of the 23 metrics decided between them, across 3 benchmarks that measured both. Leaderboard ranks: Email Data: Forager #28 of 29, People Data Labs #20 of 29; Phone Data: Forager #19 of 24, People Data Labs #15 of 24; People Data: Forager #8 of 24, People Data Labs #13 of 24.

Which is cheaper, Forager or People Data Labs?

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, People Data Labs $0.654; Phone Data, cost per mobile number: Forager $0.316, People Data Labs $0.511; People Data, price per matched profile: Forager $0.020, People Data Labs $0.240.

How do Forager and People Data Labs compare in user reviews?

Forager holds 5.0 / 5 across 1 reviews on G2; People Data Labs holds 4.3 / 5 across 17 reviews on G2. Ratings belong to their platforms and play no part in the benchmark grades.

How can you get data out of Forager and People Data Labs?

Forager offers an API, dataset delivery, batch endpoints, webhooks and native integrations; People Data Labs offers an API, CSV export, dataset delivery, batch endpoints and native integrations. Both offer an API, dataset delivery, batch endpoints and native integrations.