Amazon Search Bar Scraper avatar

Amazon Search Bar Scraper

Try for free

3 days trial then $5.00/month - No credit card required now

Go to Store
Amazon Search Bar Scraper

Amazon Search Bar Scraper

caprolok/amazon-search-bar-scraper
Try for free

3 days trial then $5.00/month - No credit card required now

Top e-commerce optimization tool. Dive into Amazon's search, spotlighting leading products. Improve listings and guide marketing using real shopper insights. Essential for e-commerce experts, brands, & sellers. In Amazon's expansive market, right insights are key. For both new & experienced Sellers.

You can access the Amazon Search Bar 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 = { "keyword": "Homemade" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("caprolok/amazon-search-bar-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start

Amazon Search Bar Scraper API in Python

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

  • 8 monthly users

  • 6 stars

  • >99% runs succeeded

  • 0.42 hours response time

  • Created in Oct 2023

  • Modified 9 months ago