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Best Realtor.com search API in 2026

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RealtyAPI, Scavio and AnyAPI are the best Realtor.com search 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 searches cost. We rank 24 plans by price. ScrapeBadger's $299 monthly plan costs the least per 1,000 searches: $0.718.

  1. #1 RealtyAPI: Realtor.com search API

    RealtyAPI, $399 monthly, MEGA

    It returns 1 of the 6 key fields we check: Days on market.

    Overall score
    77.5
    $ per 1,000
    $0.798
    Price score
    84
    • $ per 1,000 searches that find nothing: the provider's pages don't say
    • Plans of this API we rank by price: 24
    • Plans cheaper per 1,000 searches than this plan: 1
    Data score
    63
    Cost to get started score
    63
    • How you pay: monthly
    • Least to pay before your first result: $399
    Bundle score
    100
    • Also pays for, from the same budget: 425 other calls
    Performance score
    100
    • This call's median time on 31 October 2026, minus the baseline: 1.718 s
    • RealtyAPI, search/bylocation, the fastest benchmarked provider: 1.718 s
    • On 31 October 2026, we sent this provider the same 20 searches as every other provider in our benchmark.
    • This plan scored 0.6342 out of 1 on those 20 searches. That gives this plan a Data score of 63 out of 100.

  2. #2 Scavio: Realtor.com search API

    Scavio, $500 monthly

    It returns all 6 key fields we check: Estimate, Days on market, Broker, Agent, Year built, Open houses.

    Overall score
    57.0
    $ per 1,000
    $2.50
    Price score
    33
    • $ per 1,000 searches that find nothing: the provider's pages don't say
    • Plans of this API we rank by price: 24
    • Plans cheaper per 1,000 searches than this plan: 15
    Data score
    71
    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
    52
    • This call's median time on 31 October 2026, minus the baseline: 3.317 s
    • RealtyAPI, search/bylocation, the fastest benchmarked provider: 1.718 s
    • On 31 October 2026, we sent this provider the same 20 searches as every other provider in our benchmark.
    • This plan scored 0.7061 out of 1 on those 20 searches. That gives this plan a Data score of 71 out of 100.

  3. #3 AnyAPI: Realtor.com search API

    AnyAPI, top-up from $10

    It returns 4 of the 6 key fields we check: Days on market, Broker, Agent, Year built.

    Overall score
    42.0
    $ per 1,000
    $46.80
    Price score
    7
    • $ per 1,000 searches that find nothing: the provider's pages don't say
    • Plans of this API we rank by price: 24
    • Plans cheaper per 1,000 searches than this plan: 22
    Data score
    59
    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
    5
    • This call's median time on 31 October 2026, minus the baseline: 35.755 s
    • RealtyAPI, search/bylocation, the fastest benchmarked provider: 1.718 s
    • On 31 October 2026, we sent this provider the same 20 searches as every other provider in our benchmark.
    • This plan scored 0.5859 out of 1 on those 20 searches. That gives this plan a Data score of 59 out of 100.

The Data score on Realtor.com search APIs

This score, out of 100, shows how many homes and home details a provider returns for a search. We send each provider the same US ZIP code a person types into Realtor.com's search box. We can't read Realtor.com's page, so we compare the providers' answers with each other. We score each search on parts: the number of homes, and each home detail such as the price. A part counts on a search when a live provider returned the part. Some searches get results from fewer than two live providers. On those, a part counts when any provider returned the part. For the number of homes, we divide the homes a provider returned by the most homes any live provider returned. For each home detail, we take the share of the provider's homes that list the detail. On each search, we average the provider's shares over 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 provider's call returned no homes. 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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