Walmart Product Extractor
Pay $1.50 for 1,000 results
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See alternative ActorsWalmart Product Extractor
Pay $1.50 for 1,000 results
Walmart Product Extractor with Built-in Proxies. Extract detailed product information from Walmart CA/US using product IDs or URLs. Get comprehensive data including titles, prices, availability, reviews, and more.
You can access the Walmart Product Extractor 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 "product_ids": [
10 "https://www.walmart.ca/en/ip/Samsung-Galaxy-Watch6-Classic-GPS-Brand-New-47mm-Smartwatch-with-Heart-Rate-Monitor/6FQWL1GUQ4CP",
11 "https://www.walmart.com/ip/6-Boxes-of-24-Packets-Sunny-Royal-Supari-Sweet-Betel-Nuts/1379435767",
12 "170227922",
13 ],
14 "proxySettings": { "useApifyProxy": False },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("web_wanderer/unofficialwalmartapi").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Walmart Product Extractor API in Python
The Apify API client for Python is the official library that allows you to use Walmart Product Extractor API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
- 4 monthly users
- 4 stars
- 100.0% runs succeeded
- 21 days response time
- Created in Apr 2024
- Modified 1 day ago