Amazon Reviews Scraper
3 days trial then $35.00/month - No credit card required now
This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?
See alternative ActorsAmazon Reviews Scraper
3 days trial then $35.00/month - No credit card required now
Scrape and download detailed reviews of Amazon products , including rating score, review description, reactions and images. Download your data as HTML table, JSON, CSV, Excel, XML.
You can access the Amazon Reviews Scraper 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 "productURLs": [{ "url": "http://www.amazon.com/dp/B00J9I10SA" }],
10 "maxReviews": 20,
11 "proxyConfiguration": {
12 "useApifyProxy": True,
13 "apifyProxyGroups": ["RESIDENTIAL"],
14 "apifyProxyCountry": "US",
15 },
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("mcdowell/amazon-reviews-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24 print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startAmazon Reviews Scraper API in Python
The Apify API client for Python is the official library that allows you to use Amazon Reviews Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Victor McDowell- 18 monthly users
- 2 stars
- 81.0% runs succeeded
- 0.68 hours response time
- Created in Jun 2020
- Modified 14 days ago
