Datacircle

Best Zillow search API in 2026

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Litescrape, PrismCrawl and AnyAPI are the best Zillow 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 34 plans by price. Litescrape's top-up from $10 costs the least per 1,000 searches: $0.15.

  1. #1 Litescrape: Zillow search API

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

    It returns 1 of the 6 key fields we check: Estimate.

    Overall score
    91.7
    $ per 1,000
    $0.15
    Price score
    88
    • $ per 1,000 searches that find nothing: the provider's pages don't say
    • Plans of this API we rank by price: 34
    • Plans cheaper per 1,000 searches than this plan: 0
    Data score
    91
    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 30 October 2026, minus the baseline: 1.417 s
    • Litescrape, the fastest benchmarked provider: 1.417 s
    • On 30 October 2026, we sent this provider the same 20 searches as every other provider in our benchmark.
    • This plan scored 0.9144 out of 1 on those 20 searches. That gives this plan a Data score of 91 out of 100.

  2. #2 PrismCrawl: Zillow search API

    PrismCrawl, $500 pack

    It returns 1 of the 6 key fields we check: Broker.

    Overall score
    76.1
    $ per 1,000
    $0.17
    Price score
    82
    • $ per 1,000 searches that find nothing: $0.17
    • Plans of this API we rank by price: 34
    • Plans cheaper per 1,000 searches than this plan: 2
    Data score
    82
    Cost to get started score
    65
    • How you pay: a pack you pay first
    • Least to pay before your first result: $500
    Bundle score
    99
    • Also pays for, from the same budget: 125 other calls
    Performance score
    16
    • This call's median time on 30 October 2026, minus the baseline: 8.837 s
    • Litescrape, the fastest benchmarked provider: 1.417 s
    • On 30 October 2026, we sent this provider the same 20 searches as every other provider in our benchmark.
    • This plan scored 0.8196 out of 1 on those 20 searches. That gives this plan a Data score of 82 out of 100.

  3. #3 AnyAPI: Zillow search API

    AnyAPI, top-up from $10

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

    Overall score
    71.9
    $ per 1,000
    $0.80
    Price score
    57
    • $ per 1,000 searches that find nothing: the provider's pages don't say
    • Plans of this API we rank by price: 34
    • Plans cheaper per 1,000 searches than this plan: 12
    Data score
    74
    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
    77
    • This call's median time on 30 October 2026, minus the baseline: 1.842 s
    • Litescrape, the fastest benchmarked provider: 1.417 s
    • On 30 October 2026, we sent this provider the same 20 searches as every other provider in our benchmark.
    • This plan scored 0.7373 out of 1 on those 20 searches. That gives this plan a Data score of 74 out of 100.

The Data score on Zillow search APIs

This score, out of 100, shows how much of a search's results page a provider's call returns. We send each provider a US city and the city's state, as typed in Zillow's search box. We can't read Zillow's page, so we compare the providers' answers. 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 each search, we cut each provider's list, from the top, to the number of homes most providers returned. For the number of homes, we divide the homes a provider kept by the most homes any provider kept. 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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