Craigslist Scraper is a scraping tool that overcomes advanced anti-bot systems and helps you gather public data from Craigslist on any scale you need. This guide will show you how to scrape Craigslist using Oxylabs’ Scraper API.
You can get Craigslist data by sending a request to our API with the URLs you want to access and scrape. The API will return the HTML of any public Craigslist page.
The below code sample sends a request to our service, which uses a headless browser to execute JavaScript and sends back the HTML of a Craigslist page:
import requests
from pprint import pprint
# Structure payload.
payload = {
'source': 'universal',
'url': 'https://berlin.craigslist.org/search/ela#search=1~gallery~0~0',
'geo_location': 'Germany',
'render': 'html'
}
# Get a 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 the documentation to find more payload parameters and other details.
{
"results": [
{
"content": "<!doctype html>\n<html lang=\"en\">\n<head>
...
</script></body>\n</html>\n",
"created_at": "2023-09-21 14:26:52",
"updated_at": "2023-09-21 14:27:10",
"page": 1,
"url": "https://berlin.craigslist.org/search/ela#search=1~gallery~0~0",
"job_id": "7110630468831163393",
"status_code": 200
}
]
}Oxylabs Craigslist Scraper API will ease your scraping processes significantly. Use it to gather public data, such as jobs, items, services, and ads. If you have any questions, feel free to get in touch with us via live chat or email.
Also, check this tutorial on pypi