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eBay Scraper

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eBay Scraper

eBay Scraper

dtrungtin/ebay-items-scraper
Try for free

3 days trial then $50.00/month - No credit card required now

Unofficial eBay API to extract data from eBay based on keywords or categories. Scrape prices, product descriptions, images, location, availability, brand, and more. Download extracted data in structured format and use it in reports, spreadsheets, databases, and applications.

You can access the eBay 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.ebay.com/sch/i.html?_from=R40&_trksid=p2499334.m570.l1313&_nkw=massage%2Brecliner%2Bchair&_sacat=6024" }],
10    "maxItems": 10,
11    "proxyConfig": { "useApifyProxy": True },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("dtrungtin/ebay-items-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

eBay Scraper API in Python

The Apify API client for Python is the official library that allows you to use eBay 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
  • 49 monthly users
  • 16 stars
  • 93.6% runs succeeded
  • 0.51 hours response time
  • Created in Oct 2021
  • Modified 21 days ago
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