Datacircle

Best Walmart product API in 2026

ScrapeUnblocker, Litescrape and Scrappa are the best Walmart product API providers in our benchmark. We benchmarked 9 providers and rank all 9 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 products cost. We rank 126 plans by price. Litescrape's top-up from $10 costs the least per 1,000 products: $0.15.

Every Walmart product API provider we score, ranked

  1. ScrapeUnblocker, €299 monthly: Overall score 76.7, Accuracy score 73, $0.765 per 1,000 products
  2. Litescrape, top-up from $10, Usage-based: Overall score 71.9, Accuracy score 27, $0.15 per 1,000 products
  3. Scrappa, $25 pack: Overall score 67.0, Accuracy score 25, $0.291 per 1,000 products
  4. Decodo, $99 monthly: Overall score 64.9, Accuracy score 46, $0.70 per 1,000 products
  5. AnyAPI, top-up from $10: Overall score 58.9, Accuracy score 30, $1.00 per 1,000 products
  6. PrismCrawl, $10 pack: Overall score 58.8, Accuracy score 26, $0.27 per 1,000 products
  7. Novada, $290 monthly: Overall score 58.0, Accuracy score 61, $1.10 per 1,000 products
  8. Unwrangle, $499 monthly: Overall score 56.8, Accuracy score 74, $1.663 per 1,000 products
  9. Bright Data, $499 monthly: Overall score 51.3, Accuracy score 63, $1.30 per 1,000 products
  1. #1 ScrapeUnblocker: Walmart product API

    ScrapeUnblocker, €299 monthly

    It returns all 9 key fields we check: Brand, Price, List price, Availability, Seller, Specifications, Images, Rating, Rating count.

    Overall score
    76.7
    $ per 1,000
    $0.765
    Price score
    78
    • $ per 1,000 products the provider can't find: $0
    • Plans of this API we rank by price: 126
    • Plans cheaper per 1,000 products than this plan: 32
    Accuracy score
    73
    Cost to get started score
    65
    • How you pay: monthly
    • Least to pay before your first result: $336.46
    Bundle score
    99
    • Also pays for, from the same budget: 99 other calls
    Performance score
    77
    • This call's median time on 3 November 2026, minus the baseline: 3.471 s
    • AnyAPI, the fastest benchmarked provider: 2.679 s
    • On 3 November 2026, we sent this provider the same 20 products as every other provider in our benchmark.
    • This plan scored 0.7289 out of 1 on those 20 products. That gives this plan an Accuracy score of 73 out of 100.
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  2. #2 Litescrape: Walmart product API

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

    It returns 8 of the 9 key fields we check: Brand, Price, List price, Availability, Seller, Images, Rating, Rating count.

    Overall score
    71.9
    $ per 1,000
    $0.15
    Price score
    100
    • $ per 1,000 products the provider can't find: $0
    • Plans of this API we rank by price: 126
    • Plans cheaper per 1,000 products than this plan: 0
    Accuracy score
    27
    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
    91
    • This call's median time on 3 November 2026, minus the baseline: 2.943 s
    • AnyAPI, the fastest benchmarked provider: 2.679 s
    • On 3 November 2026, we sent this provider the same 20 products as every other provider in our benchmark.
    • This plan scored 0.269 out of 1 on those 20 products. That gives this plan an Accuracy score of 27 out of 100.
  3. #3 Scrappa: Walmart product API

    Scrappa, $25 pack

    It returns 8 of the 9 key fields we check: Brand, Price, List price, Availability, Seller, Images, Rating, Rating count.

    Overall score
    67.0
    $ per 1,000
    $0.291
    Price score
    91
    • $ per 1,000 products the provider can't find: $0
    • Plans of this API we rank by price: 126
    • Plans cheaper per 1,000 products than this plan: 13
    Accuracy score
    25
    Cost to get started score
    87
    • How you pay: a pack you pay first
    • Least to pay before your first result: $25
    Bundle score
    100
    • Also pays for, from the same budget: 2,423 other calls
    Performance score
    86
    • This call's median time on 3 November 2026, minus the baseline: 3.117 s
    • AnyAPI, the fastest benchmarked provider: 2.679 s
    • On 3 November 2026, we sent this provider the same 20 products as every other provider in our benchmark.
    • This plan scored 0.25 out of 1 on those 20 products. That gives this plan an Accuracy score of 25 out of 100.

How we tested

On 30 October and 3 November 2026, we sent 9 providers the same list of 20 products. Each plan's Overall score adds five parts at their weights, scaled to 100. Price and Accuracy weigh 40 each, and Cost to get started, Bundle and Performance weigh 10 each. We score all 9 providers and rank them by their top plan's Overall score.

The Accuracy score on Walmart product APIs

This score, out of 100, shows how much of a product's page a provider's call returns. We send each provider the product's Walmart item ID. A provider that takes an address gets the product's walmart.com address in place of the Walmart item ID. For each product, we count the parts the answer held, such as the price and the images. We divide that count by the number of parts any provider's answer held for the product. For a part made of items, such as images, we count the items in the answer. We divide the item count by the most items any answer held for the product. We treat a call's price, list price, rating or count as missing when it differs from the value that two or more other calls share. We allow a price to differ by one cent and a rating by 0.05. We allow a count to differ by 1% or by 1, whichever is larger. We compare a call only with the calls that read the product within 30 minutes of that call. A call that didn't find the product scores 0 on the product. Then we average the results over the products that at least one provider found. Each product counts the same. We compare a provider that ran on fewer products with the other providers on those same products. A provider can't score higher by running only on easy products. We lower the score when we test the call on fewer products than the benchmark has.

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