eBay Scraper (Pay Per Result) avatar

eBay Scraper (Pay Per Result)

Try for free

Pay $5.00 for 1,000 results

Go to Store
eBay Scraper (Pay Per Result)

eBay Scraper (Pay Per Result)

ivanvs/ebay-scraper-pay-per-result
Try for free

Pay $5.00 for 1,000 results

Extract data from classified advertisements on eBay. Scrape any category of items that are being sold on eBay. Download listings data in JSON, XML, Excel, and other versatile

You can access the eBay Scraper (Pay Per Result) 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    "urls": [{ "url": "https://www.ebay.com/sch/39804/i.html?_from=R40&_nkw=tv&rt=nc&Brand=Comcast&_dcat=39804" }],
10    "maxConcurrency": 1,
11    "proxyConfiguration": { "useApifyProxy": True },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("ivanvs/ebay-scraper-pay-per-result").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 (Pay Per Result) API in Python

The Apify API client for Python is the official library that allows you to use eBay Scraper (Pay Per Result) 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

  • 7 monthly users

  • 2 stars

  • 99% runs succeeded

  • Created in Mar 2024

  • Modified 2 months ago