Amazon Seller Scraper avatar

Amazon Seller Scraper

Try for free

7 days trial then $30.00/month - No credit card required now

Go to Store
Amazon Seller Scraper

Amazon Seller Scraper

junglee/amazon-seller-scraper
Try for free

7 days trial then $30.00/month - No credit card required now

Amazon scraper to extract seller information. You can scrape either categories or specific products.

Do you want to learn more about this Actor?

Get a demo

You can access the Amazon Seller 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    "startUrls": [{ "url": "https://www.amazon.com/s?k=keyboard" }],
10    "maxItemsPerStartUrl": 10,
11    "proxyConfiguration": {
12        "useApifyProxy": True,
13        "apifyProxyGroups": ["RESIDENTIAL"],
14    },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("junglee/amazon-seller-scraper").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

Amazon Seller Scraper API in Python

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

Actor Metrics

  • 21 monthly users

  • 21 stars

  • 99% runs succeeded

  • 12 hours response time

  • Created in Nov 2022

  • Modified 3 days ago

Categories