Fetchin vs People Data Labs
People Data Labs is an identity-resolution product built on a pre-collected store of three billion-plus person records. You hand it partial, messy input: an email, a name and company, a fragment, and it resolves that to a person.
That is a genuinely different job from ours. Fetchin takes a professional profile URL you already have and returns its current contents.
On price the models are not close. PDL is $0.28 per successful match on the Pro plan, falling to $0.25 in higher tiers, so roughly $250 to $280 per 1,000. Contact data costs extra, $0.40 to $0.55 per match. Fetchin is $1.00 per 1,000.
If you have the URL, paying resolution prices to read a record makes no sense. If you do not have the URL, we cannot help you and PDL can.
- requests served per month
- 40M+requests served per month
- uptime
- 99.9%uptime
- median response time
- 1smedian response time
- serving production traffic since
- 2023serving production traffic since
Fetchin vs People Data Labs, feature by feature
| Feature | Fetchin | People Data Labs |
|---|---|---|
| Starting price per 1,000 requests | $1.00 | $250.00 |
| Data freshness | Fetched live on every request | Pre-collected store of 3B+ records |
| Response time | 1s median, 1.5s P95 | |
| Delivery | Synchronous, or asynchronous via the Apify compatibility layer | Synchronous HTTP, plus bulk endpoints |
| Rate limit | 5 req/s self-serve, 10 to 100+ on request | Bulk endpoints cap at 100 records per request |
| Uptime | 99.9% | |
| Endpoints | Profile, company, posts, comments, reactions, engagement | Person enrichment, identify, search, company, IP-to-company |
| Your own account required | ||
| Billed on failed lookups | No, credits consumed only on a successful match | |
| Free trial | 1,000 credits, no credit card | 100 lookups per month, contact fields obfuscated |
| Commitment | None, cancel anytime | Monthly or annual; Enterprise via sales |
| Support | Live chat and email, same-day | Email; dedicated team on Enterprise |
| Public status page | Yes, at status.fetchin.io |
People Data Labs figures are taken from their own public pages and were last verified in August 2026. Pricing and limits change, so check the sources below before making a decision.
Fetchin pricing: Starter plan, $50 for 50,000 credits. Drops to $0.90 per 1,000 at 1M credits.
People Data Labs pricing: $0.28 per credit on the $98/month Pro plan, falling to $0.25 at higher volume, per third-party analysis, since their pricing page does not publish a directly citable rate. Contact data requires separate calls at $0.40 to $0.55 per successful match.
Where Fetchin wins
- $1.00 per 1,000 against roughly $250 to $280. If you already hold the profile URL, this is the entire argument.
- Live data. PDL serves from a pre-built store, so a record reflects when it was last collected, not now.
- Post, comment, reaction and engagement data, which a resolution product does not carry.
- Published latency and uptime plus a public status page.
- 1,000 free credits with full fields, against 100 monthly lookups with contact fields obfuscated.
Where People Data Labs wins
- Identity resolution. Given partial or messy input, PDL finds the person. Fetchin needs the URL and has no equivalent. People search is not planned until Q4 2026.
- Three billion-plus records for coverage analysis and matching that no live API can replicate.
- Email and phone data via their identify endpoints. Fetchin has no contact-data endpoint and none planned.
- IP-to-company mapping for visitor de-anonymisation.
- Credits consumed only on a successful match, same as our policy on failures.
Choose Fetchin if…
- You already have profile URLs and need their current contents.
- Freshness matters more than corpus breadth.
- You are running volume where $250 per 1,000 against $1.00 is decisive.
Choose People Data Labs if…
- Your input is partial: an email, a name, a company, and you need it resolved to a person.
- You need email or phone contact data.
- You need IP-to-company mapping or corpus-wide matching.
Fetchin vs People Data Labs, answered
- Are Fetchin and People Data Labs solving the same problem?
- Not quite. PDL resolves partial input to a person using a pre-built store of three billion-plus records. Fetchin takes a professional profile URL you already have and returns its current contents. If you lack the URL, PDL is the right tool; if you have it, Fetchin is far cheaper.
- Why is People Data Labs so much more expensive per 1,000?
- Different unit. PDL charges $0.28 per successful match, roughly $280 per 1,000, because you are paying for resolution across a large corpus, not for reading a known record. Fetchin charges $1.00 per 1,000 to fetch a record you already identified.
- Which has fresher data?
- Fetchin. Each response is fetched at request time. PDL serves from a pre-collected store, so a record reflects the state at its last collection rather than the present.
- Can Fetchin find someone from an email address?
- No. Fetchin needs a profile URL. People search is on the roadmap for Q4 2026, and email lookup is not currently planned. Support will discuss specific use cases.
Sources, verified August 2026
- People Data Labs pricing tiers, 2026 (third-party analysis, their own pricing page publishes no citable rate)
- People Data Labs pricing page
- Independent API review, August 2026
Fetchin figures are our own measured values. Live availability is published here.
Try it against your own data
1,000 credits, no credit card. Run the same sample through Fetchin and People Data Labs and compare field coverage and response times yourself.