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Amazon Product Data Scraper

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Amazon Product Data Scraper

Amazon Product Data Scraper

delicious_zebu/amazon-product-data-scraper
Try for free

1 day trial then $35.00/month - No credit card required now

Scrape detailed Amazon product data, including ratings, prices, availability, and reviews, from any custom list or keyword search. Fast, precise, and tailored for your needs!

You can access the Amazon Product Data 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    "Urls": ["https://www.amazon.com/s?i=videogames&rh=n%3A468642%2Cp_36%3A53000-%2Cp_123%3A218247%2Cp_76%3A1249140011&dc&qid=1733102831&rnid=1249138011&ref=sr_nr_p_76_1&ds=v1%3A5gKeDv1gkzn3Uc9Y%2B0DDMnHtJVQYuu%2FUJap6mzZacKw"],
10    "Keywords": [],
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("delicious_zebu/amazon-product-data-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 Product Data Scraper API in Python

The Apify API client for Python is the official library that allows you to use Amazon Product Data 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

  • >99% runs succeeded

  • Created in Nov 2024

  • Modified a day ago