Head-to-head · B2B data

Diffbot vs Forager

Forager wins 10 of 11 decided metrics across 1 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.

Diffbot

Web-scale Knowledge Graph built by crawling the public web: Enhance matches people and organizations, DQL searches entities including job posts, with an optional re-crawl of sources.

★ 4.9 · 29 reviewsA

Access: MCP · CLI · API · Dataset · CSV · Batch · Webhooks · Integrations

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

Email Datacore + suite-specific metrics

updated 2026-09-25

Metric	Diffbot · not in suite	Forager · #28 of 29
Match rate	-	4.1%
Valid email rate	-	50.0%
Latency p50	-	-
Cost / valid email	-	$0.190
Invalid rate	-	0.0%
Catch-all share	-	50.0%
Business email	-	100.0%
Right-person rate	-	100.0%
Decoy hit rate	-	-
Catch-all detection	-	-
Confidence-score quality	-	-
Geographic coverage	-	1

Phone Datacore + suite-specific metrics

updated 2026-09-25

Metric	Diffbot · not in suite	Forager · #19 of 24
Match rate	-	42.9%
Valid / reachable rate	-	90.5%
Latency p50	-	-
Cost / mobile number	-	$0.316
Right-person rate	-	100.0%
Mobile coverage	-	38.8%
Disconnected rate	-	0.0%
Low-activity share	-	9.5%
Landline / mobile classification	-	-
Country accuracy	-	90.5%
Geographic coverage	-	7

People Datacore + suite-specific metrics

updated 2026-09-25

Metric	Diffbot · #14 of 24	Forager · #8 of 24
Profile match rate	85.0%	95.9%
Identity accuracy	100.0%	97.9%
Latency p50	7,232ms	-
Price / matched profile	$0.022	$0.020
Current employer accuracy	68.6%	91.5%
Move detection	25.0%	-
Decoy hit rate	20.0%	-
Job title accuracy	49.0%	85.1%
Seniority label accuracy	-	-
Location accuracy	86.3%	95.7%
Work history completeness	6.2	8.6
Education completeness	90.2%	100.0%
Skills present	72.5%	91.5%
Social / profile URLs	94.1%	100.0%
Coverage by geo / function / seniority	60.0%	83.3%

Company Datacore + suite-specific metrics

updated 2026-09-25

Metric	Diffbot · #10 of 23	Forager · not measured
Domain-to-company match rate	99.0%	-
Company name accuracy	94.9%	-
Latency p50	1,127ms	-
Price / matched company	$0.022	-
Industry accuracy	83.8%	-
Employee count ±20%	69.9%	-
HQ / location accuracy	82.8%	-
Description present	100.0%	-
Founding year accuracy	73.7%	-
Domains / social profiles	94.9%	-
Coverage by country / size	95.0%	-

Technographic Datacore + suite-specific metrics

updated 2026-09-25

Metric	Diffbot · not measured	Forager · #5 of 10
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 Diffbot vs Forager

Which is better, Diffbot or Forager?

Forager wins 10 of the 11 metrics decided between them, across 1 benchmark that measured both. Leaderboard ranks: People Data: Diffbot #14 of 24, Forager #8 of 24.

Which is cheaper, Diffbot or Forager?

Measured on the list price of each provider's central self-serve pack, divided by what it actually returned: People Data, price per matched profile: Diffbot $0.022, Forager $0.020.

How do Diffbot and Forager compare in user reviews?

Diffbot holds 4.9 / 5 across 29 reviews on G2; Forager holds 5.0 / 5 across 1 reviews on G2. Ratings belong to their platforms and play no part in the benchmark grades.

How can you get data out of Diffbot and Forager?

Diffbot offers an MCP server, a command-line tool, an API, dataset delivery, CSV export, batch endpoints, webhooks and native integrations; Forager offers an API, dataset delivery, batch endpoints, webhooks and native integrations. Both offer an API, dataset delivery, batch endpoints, webhooks and native integrations.