
Research
Namastex.ai npm Packages Hit with TeamPCP-Style CanisterWorm Malware
Malicious Namastex.ai npm packages appear to replicate TeamPCP-style Canister Worm tradecraft, including exfiltration and self-propagation.
Netflix-scraper
Advanced tools
Netflix Scraper for easy collection of titles, descriptions, cast, ratings, and other public data from Netflix.
Netflix Scraper extracts public data from Netflix on any scale you need. This quick tutorial will show you how to scrape Netflix with Oxylabs’ Scraper API.
You can gather Netflix data by sending a request to our API and including the Netflix URLs you want to scrape. Our service will send back the HTML of any Netflix page.
This code sample makes a request to our service, which then renders JavaScript via a headless browser and retrieves the HTML of a Netflix page:
import requests
from pprint import pprint
# Structure payload.
payload = {
'source': 'universal',
'url': 'https://www.netflix.com/de-en/title/80057281',
'render': 'html'
}
# Get response.
response = requests.request(
'POST',
'https://realtime.oxylabs.io/v1/queries',
auth=('USERNAME', 'PASSWORD'), #Your credentials go here
json=payload,
)
# Instead of response with job status and results url, this will return the
# JSON response with results.
pprint(response.json())
Visit our documentation for more information about payload parameters.
{
"results": [
{
"content": "<!doctype html>
<html lang="en">
<head>
...
</script></div>
</html>
",
"created_at": "2023-05-18 12:23:06",
"updated_at": "2023-05-18 12:23:25",
"page": 1,
"url": "https://www.netflix.com/de-en/title/80057281",
"job_id": "7064938450625018881",
"status_code": 200
}
]
}
Oxylabs’ Netflix Scraper API makes it much easier to collect public information from Netflix. You can gather details about movies or TV series, like episode names, descriptions, cast, ratings, similar shows, etc. You can also monitor pricing plans or the news about subscription changes. In case you have any questions, you can reach us via live chat or email.
FAQs
Netflix Scraper for easy collection of titles, descriptions, cast, ratings, and other public data from Netflix.
We found that Netflix-scraper demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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Research
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