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eBay Product Scraper

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eBay Product Scraper

eBay Product Scraper

rikunk/ebay-product-finder
Try for free

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

The eBay Product Scraper is an advanced tool designed to extract essential information from eBay products. This includes titles, prices, seller names, store rankings, store links, and images of products. This utility serves as an indispensable asset for gathering detailed insights into eBay products

You can access the eBay Product 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 = { "url": [
9        "https://www.ebay.com/itm/285756081804",
10        "https://www.ebay.com/itm/116143009921",
11        "https://www.ebay.com/itm/186502050568",
12        "https://www.ebay.com/itm/355362137750",
13    ] }
14
15# Run the Actor and wait for it to finish
16run = client.actor("rikunk/ebay-product-finder").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21    print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

eBay Product Scraper API in Python

The Apify API client for Python is the official library that allows you to use eBay Product 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
  • 4 monthly users
  • 2 stars
  • 93.9% runs succeeded
  • Created in Jun 2024
  • Modified 3 months ago