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Best Xiaohongshu note API in 2026

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AnyAPI, SocialCrawl and DataXAPI are the best Xiaohongshu note 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 notes cost. We rank 69 plans by price. Crawlora's $499 monthly plan costs the least per 1,000 notes: $0.299.

  1. #1 AnyAPI: Xiaohongshu note API

    AnyAPI, top-up from $10

    It returns all 4 key fields we check: Text, Media, Engagement, Author.

    Overall score
    73.9
    $ per 1,000
    $12.00
    Price score
    44
    • $ per 1,000 notes the provider can't find: $12.00
    • Plans of this API we rank by price: 69
    • Plans cheaper per 1,000 notes than this plan: 34
    Data score
    87
    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
    96
    • This call's median time on 2 November 2026, minus the baseline: 1.306 s
    • DataXAPI, the fastest benchmarked provider: 1.248 s
    • On 2 November 2026, we sent this provider all 20 notes in our benchmark.
    • This plan scored 0.8663 out of 1 on those 20 notes. That gives this plan a Data score of 87 out of 100.

  2. #2 SocialCrawl: Xiaohongshu note API

    SocialCrawl, £49 pack

    It returns all 4 key fields we check: Text, Media, Engagement, Author.

    Overall score
    68.8
    $ per 1,000
    $16.34
    Price score
    52
    • $ per 1,000 notes the provider can't find: $0
    • Plans of this API we rank by price: 69
    • Plans cheaper per 1,000 notes than this plan: 38
    Data score
    87
    Cost to get started score
    80
    • How you pay: a pack you pay first
    • Least to pay before your first result: $65.34
    Bundle score
    100
    • Also pays for, from the same budget: 678 other calls
    Performance score
    21
    • This call's median time on 2 November 2026, minus the baseline: 5.829 s
    • DataXAPI, the fastest benchmarked provider: 1.248 s
    • On 2 November 2026, we sent this provider all 20 notes in our benchmark.
    • This plan scored 0.8705 out of 1 on those 20 notes. That gives this plan a Data score of 87 out of 100.

  3. #3 DataXAPI: Xiaohongshu note API

    DataXAPI, top-up from $10

    It returns all 4 key fields we check: Text, Media, Engagement, Author.

    Overall score
    52.0
    $ per 1,000
    $20.00
    Price score
    36
    • $ per 1,000 notes the provider can't find: $20.00
    • Plans of this API we rank by price: 69
    • Plans cheaper per 1,000 notes than this plan: 41
    Data score
    34
    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: 223 other calls
    Performance score
    100
    • This call's median time on 2 November 2026, minus the baseline: 1.248 s
    • DataXAPI, the fastest benchmarked provider: 1.248 s
    • We scored this provider on 1 of the 20 notes in our benchmark. We sent this provider that 1 note on 2 November 2026.
    • This plan scored 0.7778 out of 1 on that 1 note. We trust a score on 1 note less than a score on all 20. So we lower this plan's Data score to 34 out of 100.

The Data score on Xiaohongshu note APIs

The Data score, out of 100, is the share of a note's record that a provider's call returns. We ask for each note by the note's ID. Some providers take a link instead, so we send them the note's link. We didn't read any note's page. We count a note's parts only from the providers' answers. For each note, we count the parts in a provider's answer, such as the text and the like count. We divide each provider's part count by the number of parts that appear in at least one provider's answer. An answer of no or 0 still counts. A blank value or an empty list counts as missing. For images and other lists, we count the items in each provider's answer. We divide each count by the highest count any provider gave for the same note. We average each provider's note scores over all notes. Each note counts the same. A note the call didn't find counts as 0. We compare a provider that ran on fewer notes with the other providers on those same notes. A provider can't score higher by running only on easy notes. We lower the score when we test the call on fewer notes than the benchmark has.

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