Extract real-time product data, pricing, reviews, and detailed analytics from Uber Eats Chile without getting blocked.
Our Uber Eats Chile scraper is a fully automated data extraction solution designed to collect real-time information from Uber Eats Chile in Chile. It effortlessly handles product data, pricing updates, inventory tracking, reviews, and seller analytics.
Built with rotating proxies, headless browsers, and anti-bot bypassing systems, our API automatically handles CAPTCHAs, IP blocks, and device fingerprinting. This guarantees uninterrupted data collection at scale.
Perfect for:
We deliver structured JSON or CSV output with clean, ready-to-use fields. Whether you need hourly updates or real-time crawling, our team can customize filters and crawling depth to fit your exact business needs.
Copy this code to start scraping Uber Eats Chile immediately.
import requests
url = "https://api.scraperscoop.com/scrape"
payload = {
"target": "uber eats chile",
"country": "Chile",
"url": "https://uber eats chile.com/product/xyz",
"render": true
}
headers = {
"Authorization": "Bearer YOUR_API_KEY"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())Yes. Our API uses a vast pool of residential proxies and intelligent fingerprint rotation to appear as a real human user.
You can receive data in JSON (via API) or export to CSV/Excel if using our dashboard.
For the API, basic knowledge is helpful. However, we also offer a 'No-Code' extractor in our dashboard.
Absolutely. We route requests through local proxies in Chile to ensure you get localized pricing and shipping data.
Stop worrying about proxies and blocks. Focus on the data.
