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Best Realtor.com property API in 2026

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Scrappa, Litescrape and Bright Data are the best Realtor.com property 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 properties cost. We rank 35 plans by price. Litescrape's top-up from $10 costs the least per 1,000 properties: $0.15.

  1. #1 Scrappa: Realtor.com property API

    Scrappa, $500 pack

    It returns all 9 key fields we check: Estimate, Price history, Taxes, Monthly costs, Days on market, Agent, Broker, Open houses, Schools.

    Overall score
    93.0
    $ per 1,000
    $0.238
    Price score
    95
    • $ per 1,000 properties the provider can't find: $0
    • Plans of this API we rank by price: 35
    • Plans cheaper per 1,000 properties 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
    87
    • This call's median time on 31 October 2026, minus the baseline: 0.901 s
    • Litescrape, the fastest benchmarked provider: 0.784 s
    • On 31 October 2026, we sent this provider the same 20 properties as every other provider in our benchmark.
    • This plan scored 0.9788 out of 1 on those 20 properties. That gives this plan a Data score of 98 out of 100.

  2. #2 Litescrape: Realtor.com property API

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

    It returns none of the 9 key fields we check: Estimate, Price history, Taxes, Monthly costs and 5 more.

    Overall score
    77.9
    $ per 1,000
    $0.15
    Price score
    100
    • $ per 1,000 properties the provider can't find: $0
    • Plans of this API we rank by price: 35
    • Plans cheaper per 1,000 properties than this plan: 0
    Data score
    41
    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: 0.784 s
    • Litescrape, the fastest benchmarked provider: 0.784 s
    • On 31 October 2026, we sent this provider the same 20 properties as every other provider in our benchmark.
    • This plan scored 0.4099 out of 1 on those 20 properties. That gives this plan a Data score of 41 out of 100.

  3. #3 Bright Data: Realtor.com property API

    Bright Data, $499 monthly

    It returns 3 of the 9 key fields we check: Price history, Agent, Broker.

    Overall score
    42.4
    $ per 1,000
    $1.30
    Price score
    45
    • $ per 1,000 properties the provider can't find: the provider's pages don't say
    • Plans of this API we rank by price: 35
    • Plans cheaper per 1,000 properties than this plan: 17
    Data score
    43
    Cost to get started score
    62
    • How you pay: monthly
    • Least to pay before your first result: $499
    Bundle score
    50
    • Also pays for, from the same budget: other scrapers in the Web Scraper API library
    Performance score
    1
    • This call's median time on 31 October 2026, minus the baseline: 68.162 s
    • Litescrape, the fastest benchmarked provider: 0.784 s
    • On 31 October 2026, we sent this provider the same 20 properties as every other provider in our benchmark.
    • This plan scored 0.4331 out of 1 on those 20 properties. That gives this plan a Data score of 43 out of 100.

The Data score on Realtor.com property APIs

This score, out of 100, shows how much of a property's Realtor.com page a provider's call returns. We call each provider and ask for the property by the property's Realtor.com link or property ID. We can't read Realtor.com's page, so we compare the providers' answers with each other. For each property, we count the parts the answer held, such as the price and the photos. We divide that count by the number of parts any provider's answer held for that property. For a list, such as photos or price history, we count the items in the answer. We divide the number of items by the most items any answer held for that property. For facts and features, we count the lines each provider's answer filled. We count a number, such as a price, as missing when two other providers agree on a different number. Then we average each property's share over all properties. Each property counts the same. A property the call didn't find counts as 0. We compare a provider that ran on fewer properties with the other providers on those same properties. A provider can't score higher by running only on easy properties. We lower the score when we test the call on fewer properties than the benchmark has.

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