Walmart Reviews Scraper

Export public Walmart product reviews with ratings, text and review dates.

Base pricing · volume discounts apply

$0.3 / 1,000 results

No credit card required. Credits unlock after account verification.

Walmart Reviews Scraper · output formatIllustrative example · 1 row

Illustrative example: Walmart Reviews Scraper
reviewId`reviewId`	itemId`itemId`	reviewTitle`reviewTitle`	reviewText`reviewText`	rating`rating`	reviewSubmissionTime`reviewSubmissionTime`
1233251955	656435841	Love it	Good picture, many extra channels and apps on the tv, love it!	5	10/12/2026

These illustrative values show the output format and are not a live scraper result. Available fields depend on your source and selected options. Hover over a shortened value or switch to JSON to read it in full.

About these output fields

Field	Type	Description
`reviewId`	string	Review id. Optional when absent at the source.
`itemId`	string	Item id. Optional when absent at the source.
`reviewTitle`	string	Review title. Optional when absent at the source.
`reviewText`	string	Review text. Optional when absent at the source.
`rating`	number	Rating. Optional when absent at the source.
`reviewSubmissionTime`	string	Review submission time. Optional when absent at the source.

From web pages to a dataset

What you can do

Export structured review data for your research.

Compare saved results in your own reports or applications.

Set your sources

Open the scraper and enter your own URLs, search terms and limits.

Review & run

Check the cost estimate and confirm the task. Follow its progress in your account.

Use your data

Explore saved results and export CSV, JSON or XLSX. Downloads of saved results are free.

Start with a real configuration

Example input

This is the configured parser input. Replace the example sources with your own and review all limits before running.

JSON · example input

{
  "product_ids": [
    "https://www.walmart.com/reviews/product/656435841"
  ],
  "limit": 1,
  "sort": "submission-desc",
  "ratings": [
    "all"
  ],
  "reg": "US",
  "lang": "en"
}

Explore input fields

Field	Type	Notes
`product_ids`	array	Walmart product IDs or review page URLs, one per line.
`limit`	integer	Number of review pages to read for each product. Each page holds up to 20 reviews.
`sort`	string	Order in which reviews are read.
`ratings`	array	Only reviews with these star ratings.
`vp`	boolean	Only reviews from verified buyers.
`reg`	string	Walmart store to read reviews from.
`lang`	string	Review language (Canada store only).

The same scraper in your application

Run through the API

Create an API key in your account, send the input to the queued endpoint and use the returned task ID to retrieve results. Sending a live request uses credits. Replace the example Idempotency-Key with a fresh unique key for each task; keep that key when retrying the same task.

cURL · queue a task

curl --request POST 'https://extracto.cloud/api/v1/parsers/walmart-reviews-scraper/queue' \
  --header 'X-API-KEY: ext_your_api_key' \
  --header 'Idempotency-Key: replace_with_a_new_unique_task_key' \
  --header 'Content-Type: application/json' \
  --header 'Accept: application/json' \
  --data-binary @- <<'JSON'
{
  "input": {
    "product_ids": [
      "https://www.walmart.com/reviews/product/656435841"
    ],
    "limit": 1,
    "sort": "submission-desc",
    "ratings": [
      "all"
    ],
    "reg": "US",
    "lang": "en"
  }
}
JSON

Configure your task API quickstart

Monthly data volumeBase estimate

Best fit: Starter
rows / mo: 163.3K
Concurrency: Up to 2
$ / 1k rows: $0.30

One-time top-up

$49 once

Get started

Use monthly volume to plan your credit budget. Estimates use the base rate; package credit price, options, task minimums and rounding may change usage. Purchased credits are paid once, with no automatic renewal. Execution capacity is shared. API submissions: up to 10/second.

Frequently asked questions

What counts as one result?

One review. The depth setting is pages per product, with up to 20 reviews per page; charges count individual returned reviews. US and Canada use separate region settings. Reviewer personal-information enrichment is disabled.

Can I use the API and No-Code form?

Yes. Submit a task in the web interface or through the Extracto API, then retrieve its saved results after completion.

Your next dataset starts here.

Choose your sources, review the price and run Walmart Reviews Scraper.

Get 2,500 free credits / month