Walmart Review Crawler
Pricing
$6.00 / 1,000 results
Walmart Review Crawler
Extract all reviews from each review page. For each review, capture and output the following information: URL, product name, product link, total number of reviews, average product rating, review location, review rating, publication date, review text, review title, author name, and original source.
0.0 (0)
Pricing
$6.00 / 1,000 results
1
Monthly users
2
Runs succeeded
>99%
Last modified
10 months ago
You can access the Walmart Review Crawler programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "start_urls": [{ "url": "https://www.walmart.com/reviews/product/496671400" }],
10 "proxy_configuration": { "useApifyProxy": True },
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("webscrapewizard/walmart-review-crawler").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startWalmart Review Crawler API in Python
The Apify API client for Python is the official library that allows you to use Walmart Review Crawler API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$6.00
