Ebay-scraper-api
Readme
eBay Scraper is a sophisticated solution designed to gather data from eBay website in real time and without a hassle. This quick guide will detail the process of scraping eBay using Oxylabs' Scraper API.
You can get eBay results by providing your own URLs to our service. We can return the HTML of any eBay page you like.
The example below illustrates how you can get an eBay product page result in HTML format.
import requests
from pprint import pprint
# Structure payload.
payload = {
'source': 'universal_ecommerce',
'url': 'https://www.ebay.com/itm/293608130360',
'geo_location': 'United States',
}
# Get response.
response = requests.request(
'POST',
'https://realtime.oxylabs.io/v1/queries',
auth=('user', 'pass1'),
json=payload,
)
# Instead of response with job status and results url, this will return the
# JSON response with the result.
pprint(response.json())
Find code examples for other programming languages here
{
"results": [
{
"content":"<!doctype html>
<html lang="en">
<head>
...
</script></body>
</html>
",
"created_at": "2022-11-17 14:53:52",
"updated_at": "2022-11-17 14:53:54",
"page": 1,
"url": "https://www.ebay.com/itm/293608130360",
"job_id": "6999021798385787905",
"status_code": 200
}
]
}
With Oxylabs’ eBay Scraper, publicly available data extraction will feel effortless. From product information to customer reviews – you’ll have all the data you need. If you have further queries, you can contact us via live chat or email, and we’ll sort out your concerns in no time.
With Oxylabs’ Yelp Scraper API, you can forget about dealing with
complex anti-bot systems and effortlessly collect public Yelp data,
including search results, comments, profiles, posts, images, and much
more. Don’t hesitate to contact us via [<u>live
chat</u>](https://oxylabs.io/) or
[<u>email</u>](mailto:support@oxylabs.io) in case you have any
questions.
FAQs
eBay Scraper for extracting product titles, descriptions, prices, specifications, customer reviews, and ratings from eBay
We found that Ebay-scraper-api demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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