Datacircle

Best GitHub profile API in 2026

Scrappa, Litescrape and ReefAPI are the best GitHub profile API providers in our benchmark. We benchmarked 3 providers. We list all three, ranked by score. For each one, we show its top scoring plan, each part of the plan's score and what 1,000 profiles cost. We rank 33 plans by price. Litescrape's top-up from $10 costs the least per 1,000 profiles: $0.15.

  1. #1 Scrappa: GitHub profile API

    Scrappa, $500 pack

    It returns 6 of the 7 key fields we check: Bio, Company, Location, Links, Followers, Repositories.

    Overall score
    92.8
    $ per 1,000
    $0.238
    Price score
    95
    • $ per 1,000 accounts the provider can't find: $0
    • Plans of this API we rank by price: 33
    • Plans cheaper per 1,000 profiles than this plan: 2
    Data score
    98
    Cost to get started score
    65
    • How you pay: a pack you pay first
    • Least to pay before your first result: $500
    Bundle score
    100
    • Also pays for, from the same budget: 2,423 other calls
    Performance score
    86
    • This call's median time on 31 October 2026, minus the baseline: 0.647 s
    • Litescrape, the fastest benchmarked provider: 0.554 s
    • On 31 October 2026, we sent this provider the same 20 accounts as every other provider in our benchmark.
    • This plan scored 0.979 out of 1 on those 20 accounts. That gives this plan a Data score of 98 out of 100.
  2. #2 Litescrape: GitHub profile API

    Litescrape, top-up from $10, Usage-based

    It returns 6 of the 7 key fields we check: Bio, Company, Location, Links, Followers, Repositories.

    Overall score
    87.9
    $ per 1,000
    $0.15
    Price score
    100
    • $ per 1,000 accounts the provider can't find: $0
    • Plans of this API we rank by price: 33
    • Plans cheaper per 1,000 profiles than this plan: 0
    Data score
    68
    Cost to get started score
    93
    • How you pay: a top-up you pay first
    • Least to pay before your first result: $10
    Bundle score
    99
    • Also pays for, from the same budget: 190 other calls
    Performance score
    100
    • This call's median time on 31 October 2026, minus the baseline: 0.554 s
    • Litescrape, the fastest benchmarked provider: 0.554 s
    • On 31 October 2026, we sent this provider the same 20 accounts as every other provider in our benchmark.
    • This plan scored 0.6843 out of 1 on those 20 accounts. That gives this plan a Data score of 68 out of 100.
  3. #3 ReefAPI: GitHub profile API

    ReefAPI, $450 quarterly, Enterprise quarterly

    It returns all 7 key fields we check: Bio, Company, Location, Links, Contact, Followers, Repositories.

    Overall score
    86.0
    $ per 1,000
    $0.50
    Price score
    79
    • $ per 1,000 accounts the provider can't find: $0
    • Plans of this API we rank by price: 33
    • Plans cheaper per 1,000 profiles than this plan: 8
    Data score
    100
    Cost to get started score
    56
    • How you pay: quarterly
    • Least to pay before your first result: $450
    Bundle score
    100
    • Also pays for, from the same budget: 3,551 other calls
    Performance score
    75
    • This call's median time on 31 October 2026, minus the baseline: 0.734 s
    • Litescrape, the fastest benchmarked provider: 0.554 s
    • On 31 October 2026, we sent this provider the same 20 accounts as every other provider in our benchmark.
    • This plan scored 1 out of 1 on those 20 accounts. That gives this plan a Data score of 100 out of 100.

The Data score on GitHub profile APIs

This score, out of 100, shows how much of an account's profile a provider's call returns. We ask for each account's profile by the account's username. For each account, we count the parts the answer held. We divide that count by the number of parts any provider's answer held for that account. Then we average the results over all accounts. Each account counts the same. An account the call didn't find counts as 0. We compare a provider that ran on fewer accounts with the other providers on those same accounts. A provider can't score higher by running only on easy accounts. We lower the score when we test the call on fewer accounts than the benchmark has.

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