Head-to-head · B2B data

Apollo.io vs Diffbot

Apollo.io wins 16 of 23 decided metrics across 2 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.

Apollo.io

All-in-one GTM platform: B2B database, prospecting, enrichment, job-posting filters, sequences, dialer and sales automation.

★ 4.7 · 10,265 reviewsA

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

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

Email Datacore + suite-specific metrics

updated 2026-09-25

Metric	Apollo.io · #3 of 29	Diffbot · not in suite
Match rate	90.0%	-
Valid email rate	64.8%	-
Latency p50	1,302ms	-
Cost / valid email	$0.043	-
Invalid rate	1.9%	-
Catch-all share	31.5%	-
Business email	100.0%	-
Right-person rate	94.4%	-
Decoy hit rate	0.0%	-
Catch-all detection	100.0%	-
Confidence-score quality	-	-
Geographic coverage	9	-

People Datacore + suite-specific metrics

updated 2026-09-25

Metric	Apollo.io · #4 of 24	Diffbot · #14 of 24
Profile match rate	100.0%	85.0%
Identity accuracy	100.0%	100.0%
Latency p50	1,303ms	7,232ms
Price / matched profile	$0.025	$0.022
Current employer accuracy	95.0%	68.6%
Move detection	88.5%	25.0%
Decoy hit rate	100.0%	20.0%
Job title accuracy	71.7%	49.0%
Seniority label accuracy	85.7%	-
Location accuracy	88.3%	86.3%
Work history completeness	6.7	6.2
Education completeness	0.0%	90.2%
Skills present	0.0%	72.5%
Social / profile URLs	81.7%	94.1%
Coverage by geo / function / seniority	100.0%	60.0%

Company Datacore + suite-specific metrics

updated 2026-09-25

Metric	Apollo.io · #1 of 23	Diffbot · #10 of 23
Domain-to-company match rate	100.0%	99.0%
Company name accuracy	98.0%	94.9%
Latency p50	906ms	1,127ms
Price / matched company	$0.025	$0.022
Industry accuracy	76.0%	83.8%
Employee count ±20%	73.0%	69.9%
HQ / location accuracy	86.0%	82.8%
Description present	100.0%	100.0%
Founding year accuracy	76.0%	73.7%
Domains / social profiles	97.0%	94.9%
Coverage by country / size	100.0%	95.0%

Jobs Datacore + suite-specific metrics

updated 2026-09-25

Metric	Apollo.io · #2 of 6	Diffbot · not measured
Employer coverage	96.7%	-
Postings recall	78.0%	-
Latency p50	3,896ms	-
Cost / job	$0.0023	-
Closed or unknown postings	29.9%	-
Duplicate postings	15.0%	-
Location accuracy	96.3%	-
Posted-date accuracy	67.8%	-
Description present	0.0%	-
Coverage by country	92.9%	-

Technographic Datacore + suite-specific metrics

updated 2026-09-25

Metric	Apollo.io · #1 of 10	Diffbot · not measured
Coverage	100.0%	-
Detection accuracy	55.8%	-
Latency p50	906ms	-
Cost / lookup	$0.025	-
Live stack recall	61.8%	-
Technologies per domain	73	-
Dated results	0.0%	-
Coverage by geo / size	100.0%	-

Questions about Apollo.io vs Diffbot

Which is better, Apollo.io or Diffbot?

Apollo.io wins 16 of the 23 metrics decided between them, across 2 benchmarks that measured both. Leaderboard ranks: People Data: Apollo.io #4 of 24, Diffbot #14 of 24; Company Data: Apollo.io #1 of 23, Diffbot #10 of 23.

Which is cheaper, Apollo.io or Diffbot?

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: Apollo.io $0.025, Diffbot $0.022; Company Data, price per matched company: Apollo.io $0.025, Diffbot $0.022.

How do Apollo.io and Diffbot compare in user reviews?

Apollo.io holds 4.7 / 5 across 10,265 reviews on G2, Capterra and Product Hunt; Diffbot holds 4.9 / 5 across 29 reviews on G2. Ratings belong to their platforms and play no part in the benchmark grades.

How can you get data out of Apollo.io and Diffbot?

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