Skip to content

Wayfair scraper for extracting precise titles, prices, reviews, and descriptions from wayfair.com

Notifications You must be signed in to change notification settings

oxylabs/wayfair-scraper

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 

Repository files navigation

Wayfair Scraper

Wayfair

Gather data from Wayfair effortlessly and in real-time with Oxylabs Wayfair Scraper solution. The simple, explanatory, and brief guide below shows how the Wayfair Scraper works. At the same time, it provides specific code examples that will help you understand and use the scraper hassle-free.

How it works

To retrieve data from Wayfair, provide us a full URL of your target page.

The universal_ecommerce source is designed to retrieve content from various Wayfair URLs. Instead of sending multiple parameters, you can provide us with a direct URL to your preferred Wayfair page. We do not strip any parameters or alter your URLs in any other way.

This data source also supports parsed data (structured data in JSON format) as long as the URL submitted is for Wayfair Search (SERP page). If we cannot confirm this is a SERP page request, a failure message will be returned.

Query parameters

Parameter Description Default Value
source Data source. More info. universal_ecommerce
url Direct URL (link) to Wayfair page -
user_agent_type Device type and browser. The full list can be found here. desktop
callback_url URL to your callback endpoint. More info. -

- required parameter

Python code example

In this example, we make a request to retrieve a result for a URL.

import requests
from pprint import pprint

# Structure payload.
payload = {
    'source': 'universal_ecommerce',
    'url': 'https://www.wayfair.com/keyword.php?keyword=sofa'
}

# 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 results.
pprint(response.json())

Code examples for other languages can be found here.

The code above shows how you can extract data easily with our Wayfair Scraper. Collect specific product information that can range from prices to descriptions and other features, allowing you to make detailed comparisons/calculations with whom you can gain your competitive advantage.

If you have any questions, you can always contact us at [email protected]. or via live chat on our website.

About

Wayfair scraper for extracting precise titles, prices, reviews, and descriptions from wayfair.com

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published