Oxylabs' Indeed Scraper is a data gathering solution allowing you to extract real-time information from an Indeed website effortlessly. This brief guide showcases how Indeed Scraper works, along with code examples to help you better understand how to use it hassle-free.
You can get Indeed results by providing your own URLs to our service. We can return the HTML for any page you like.
The example below illustrates how you can get HTML of Indeed page.
import requests
from pprint import pprint
# Structure payload.
payload = {
'source': 'universal',
'url': 'https://www.indeed.com/companies?from=gnav-homepage'
}
# 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\" dir=\"ltr\"><head><meta charSet=\"utf-8\"/><link rel=\"preconnect\" href=\"h ... </html>",
"created_at": "2024-01-10 09:35:33",
"updated_at": "2024-01-10 09:35:35",
"page": 1,
"url": "https://www.indeed.com/companies?from=gnav-homepage",
"job_id": "7150782209677353986",
"status_code": 200
}
]
}With our Indeed Scraper, you can seamlessly extract public data from any Indeed web page. Gather crucial job-related information such as job titles, companies, salaries, or job descriptions, to analyze the job market trends and stay ahead of your competitors. If you have any inquiries, feel free to reach our support team via live chat or email us at hello@oxylabs.io.