Datacircle

Best Booking.com search API in 2026

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HasData, Scavio and AnyAPI are the best Booking.com search API providers in our benchmark. We benchmarked 4 providers and rank all 4 by score. For the three we score highest, we show each one's top scoring plan, each part of the plan's score and what 1,000 searches cost. We rank 47 plans by price. Scrappa's $500 pack costs the least per 1,000 searches: $0.238.

Every Booking.com search API provider we score, ranked

  1. HasData, $249 monthly: Overall score 66.0, Data score 66, $0.83 per 1,000 searches
  2. Scavio, $500 monthly: Overall score 62.4, Data score 78, $2.50 per 1,000 searches
  3. AnyAPI, top-up from $10: Overall score 39.9, Data score 33, $101.20 per 1,000 searches
  4. Bright Data, top-up: Overall score 23.6, Data score 29

  1. #1 HasData: Booking.com search API

    HasData, $249 monthly

    It returns 4 of the 8 key fields we check: Deals, Availability, Rating, Review count.

    Overall score
    66.0
    $ per 1,000
    $0.83
    Price score
    58
    • $ per 1,000 searches that find nothing: $0.83
    • Plans of this API we rank by price: 47
    • Plans cheaper per 1,000 searches than this plan: 16
    Data score
    66
    Cost to get started score
    67
    • How you pay: monthly
    • Least to pay before your first result: $249
    Bundle score
    98
    • Also pays for, from the same budget: 62 other calls
    Performance score
    65
    • This call's median time on 31 October 2026, minus the baseline: 5.604 s
    • AnyAPI, the fastest benchmarked provider: 3.663 s
    • On 31 October 2026, we sent this provider the same 20 searches as every other provider in our benchmark.
    • This plan scored 0.6604 out of 1 on those 20 searches. That gives this plan a Data score of 66 out of 100.

  2. #2 Scavio: Booking.com search API

    Scavio, $500 monthly

    It returns 7 of the 8 key fields we check: Deals, Availability, Rating, Review count, Amenities, Host, Type.

    Overall score
    62.4
    $ per 1,000
    $2.50
    Price score
    35
    • $ per 1,000 searches that find nothing: the provider's pages don't say
    • Plans of this API we rank by price: 47
    • Plans cheaper per 1,000 searches than this plan: 28
    Data score
    78
    Cost to get started score
    62
    • How you pay: monthly
    • Least to pay before your first result: $500
    Bundle score
    100
    • Also pays for, from the same budget: 391 other calls
    Performance score
    73
    • This call's median time on 31 October 2026, minus the baseline: 5.036 s
    • AnyAPI, the fastest benchmarked provider: 3.663 s
    • On 31 October 2026, we sent this provider the same 20 searches as every other provider in our benchmark.
    • This plan scored 0.7781 out of 1 on those 20 searches. That gives this plan a Data score of 78 out of 100.

  3. #3 AnyAPI: Booking.com search API

    AnyAPI, top-up from $10

    It returns 5 of the 8 key fields we check: Deals, Availability, Rating, Review count, Type.

    Overall score
    39.9
    $ per 1,000
    $101.20
    Price score
    4
    • $ per 1,000 searches that find nothing: the provider's pages don't say
    • Plans of this API we rank by price: 47
    • Plans cheaper per 1,000 searches than this plan: 45
    Data score
    33
    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
    100
    • Also pays for, from the same budget: 469 other calls
    Performance score
    100
    • This call's median time on 31 October 2026, minus the baseline: 3.663 s
    • AnyAPI, the fastest benchmarked provider: 3.663 s
    • On 31 October 2026, we sent this provider the same 20 searches as every other provider in our benchmark.
    • This plan scored 0.3275 out of 1 on those 20 searches. That gives this plan a Data score of 33 out of 100.

The Data score on Booking.com search APIs

This score, out of 100, shows how many stays and stay details a provider returns for a search. The score also shows whether those details match Booking.com's. We send each provider the same destination and dates a person types into Booking.com's search box. We read Booking.com's search page for each destination without logging in. We read the page three times: before our calls, during them and after them. Booking.com's page can list different stays minutes apart. A stay is on the page when at least one of our reads of Booking.com's page lists the stay. We match each of the provider's stays to a stay on Booking.com's page by the stay's hotel ID. We score each search on the number of stays and on each stay detail, such as the star rating. We score the number of stays only on searches where Booking.com's page lists a stay. We score a stay detail on a search only when Booking.com's page shows the detail for at least one stay. To score the number of stays, we count the provider's stays that are also on Booking.com's page. We divide the matching stays by the stays on Booking.com's page. We use the Booking.com page we read closest in time to the answer. A result above 1 counts as 1. To score a stay detail, we look at the provider's stays that are also on Booking.com's page. We compare each of the provider's stays with the Booking.com page we read closest in time to the answer. If that read doesn't list the stay, we use the next closest read that does. We skip stays where Booking.com's page doesn't show the detail. For each stay detail, we take the share of matched stays where the provider lists that detail. We compare some stay details, such as the star rating, with Booking.com's page. We count a detail as missing when the provider's value differs. We don't compare prices with Booking.com's page. Booking.com can show a different price from one minute to the next. For each search, we average the provider's shares of the parts that count on that search. Then we average over all searches. Each search has the same weight. A provider scores 0 on a search where the call returned no stays. We compare a provider that ran on fewer searches with the other providers on those same searches. A provider can't score higher by running only on easy searches. We lower the score when we test the call on fewer searches than the benchmark has.

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