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Walmart Review Crawler

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Pay $6.00 for 1,000 results

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Walmart Review Crawler

Walmart Review Crawler

webscrapewizard/walmart-review-crawler
Try for free

Pay $6.00 for 1,000 results

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.

You can access the Walmart Review Crawler programmatically from your own Python 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-start

Walmart 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-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 2 monthly users
  • 1 star
  • 100.0% runs succeeded
  • Created in Apr 2024
  • Modified 4 months ago
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