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Amazon Review Scraper

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Amazon Review Scraper

Amazon Review Scraper

logical_scrapers/amazon-review-scraper
Try for free

1 day trial then $10.00/month - No credit card required now

Extracts customer reviews and ratings data from Amazon product pages at scale. Data includes title, text, ratings, location, date and verified badge. This powerful tool helps businesses gather valuable customer feedback, sentiment analysis, and product satisfaction metrics from Amazon reviews.

You can access the Amazon Review 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 = { "products": [
9        "B09G9HD6PD",
10        "https://www.amazon.com/dp/B08KTZ8249",
11    ] }
12
13# Run the Actor and wait for it to finish
14run = client.actor("logical_scrapers/amazon-review-scraper").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

Amazon Review Scraper API in Python

The Apify API client for Python is the official library that allows you to use Amazon Review Scraper 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 Oct 2024
  • Modified about 15 hours ago