Oxylabs’ Foursquare Scraper is a data gathering solution allowing you to extract real-time information from an Foursquare website effortlessly. This brief guide explains how an Foursquare Scraper works and provides code examples to understand better how you can use it hassle-free.
You can get Foursquare results by providing your own URLs to our service. We can return the HTML for any Foursquare page you like.
The example below illustrates how you can get HTML of Foursquare page.
import requests
from pprint import pprint
# Structure payload.
payload = {
'source': 'universal',
'url': 'https://location.foursquare.com/products/'
}
# 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>\n<html lang=\"en-US\">\n<head>\n\t<meta charset=\"UTF-8\">\n\t<meta name=\"viewport\" content=\"w ... </html>",
"created_at": "2023-12-18 11:13:47",
"updated_at": "2023-12-18 11:13:48",
"page": 1,
"url": "https://location.foursquare.com/products/",
"job_id": "7142472008956183553",
"status_code": 200
}
]
}With our Foursquare Scraper, you can easily gather public data from any Foursquare web page. Harvest crucial venue information, such as ratings, reviews or check-ins, to analyze the food and beverage market and outperform your competitors. For any inquiries, feel free to reach out to our support team through live chat or email us at hello@oxylabs.io.