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Amazon-scraper
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Amazon-scraper

Amazon-scraper

bronze_sheng/amazonme

Introducing the AmazonMe webscraper - a powerful tool for extracting data from Amazon.com using the Requests and Beautifulsoup library in Python. This scraper allows users to easily navigate and extract information from Amazon's website.

The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more

Node.js

Python

curl

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = { "url": "https://www.amazon.com/s?k=tops+knife&i=sporting&rh=n%3A3307781011%2Cp_89%3ATops&dc&ds=v1%3A5Odhkcy1eH6zQfIevJvJaB6pdAghsURlArTFPJ1Fmk8&qid=1699554177&rnid=2528832011&ref=sr_nr_p_89_1" }
8
9# Run the Actor and wait for it to finish
10run = client.actor("bronze_sheng/amazonme").call(run_input=run_input)
11
12# Fetch and print Actor results from the run's dataset (if there are any)
13print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
14for item in client.dataset(run["defaultDatasetId"]).iterate_items():
15    print(item)
16
17# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
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