Head-to-head · B2B data

Diffbot vs People Data Labs

People Data Labs wins 17 of 25 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.

Diffbot
8
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 (excellent, 4.6 or above)
Access: MCP · CLI · API · Dataset · CSV · Batch · Webhooks · Integrations
People Data Labs
17
Dataset-first people, company and job-posting data: search / enrichment APIs, batch CSV enrichment and licensed datasets.
★ 4.3 · 17 reviewsB (strong, 4.2 to 4.5)
Access: API · CSV · Dataset · Batch · Integrations
Email Datacore + suite-specific metrics
updated 2026-09-25
Metric Diffbot · not in suite People Data Labs · #20 of 29
Match rate-69.4%
Valid email rate-52.9%
Latency p50-672ms
Cost / valid email-$0.654
Invalid rate-11.8%
Catch-all share-35.3%
Business email-100.0%
Right-person rate-100.0%
Decoy hit rate-0.0%
Catch-all detection--
Confidence-score quality--
Geographic coverage-9
Phone Datacore + suite-specific metrics
updated 2026-09-25
Metric Diffbot · not in suite People Data Labs · #15 of 24
Match rate-59.2%
Valid / reachable rate-89.7%
Latency p50-672ms
Cost / mobile number-$0.511
Right-person rate-82.6%
Mobile coverage-46.9%
Disconnected rate-0.0%
Low-activity share-10.3%
Landline / mobile classification-100.0%
Country accuracy-79.3%
Geographic coverage-7
People Datacore + suite-specific metrics
updated 2026-09-25
Metric Diffbot · #14 of 24 People Data Labs · #13 of 24
Profile match rate85.0%95.9%
Identity accuracy100.0%95.7%
Latency p507,232ms672ms
Price / matched profile$0.022$0.240
Current employer accuracy68.6%93.6%
Move detection25.0%40.0%
Decoy hit rate20.0%0.0%
Job title accuracy49.0%80.9%
Seniority label accuracy-65.8%
Location accuracy86.3%93.6%
Work history completeness6.27.7
Education completeness90.2%95.7%
Skills present72.5%89.4%
Social / profile URLs94.1%95.7%
Coverage by geo / function / seniority60.0%66.7%
Company Datacore + suite-specific metrics
updated 2026-09-25
Metric Diffbot · #10 of 23 People Data Labs · #8 of 23
Domain-to-company match rate99.0%100.0%
Company name accuracy94.9%95.6%
Latency p501,127ms524ms
Price / matched company$0.022$0.075
Industry accuracy83.8%80.0%
Employee count ±20%69.9%16.7%
HQ / location accuracy82.8%75.6%
Description present100.0%97.8%
Founding year accuracy73.7%64.4%
Domains / social profiles94.9%100.0%
Coverage by country / size95.0%100.0%

Questions about Diffbot vs People Data Labs

Which is better, Diffbot or People Data Labs?

People Data Labs wins 17 of the 25 metrics decided between them, across 2 benchmarks that measured both. Leaderboard ranks: People Data: Diffbot #14 of 24, People Data Labs #13 of 24; Company Data: Diffbot #10 of 23, People Data Labs #8 of 23.

Which is cheaper, Diffbot or People Data Labs?

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, People Data Labs $0.240; Company Data, price per matched company: Diffbot $0.022, People Data Labs $0.075.

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

Diffbot holds 4.9 / 5 across 29 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 Diffbot and People Data Labs?

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

Compare Diffbot with another provider

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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.