Best Proxies for Web Scraping in 2026
Web scraping is one of the most common reasons people use proxies. Whether you are collecting pricing data, aggregating content for AI training, or monitoring competitors, a reliable proxy setup is the difference between a successful scrape and a wall of CAPTCHAs. In this guide we break down the best proxy types for scraping, proven rotation strategies, and practical code you can use today.
Why Proxies Are Essential for Web Scraping
Every HTTP request you send reveals your IP address. When a website sees the same IP making hundreds or thousands of requests in a short period it will rate-limit, CAPTCHA, or outright block that address. Proxies solve this by routing each request through a different IP, distributing the load so no single address attracts attention. Without proxies, large-scale data collection is effectively impossible on any site with even basic bot protection.
Beyond avoiding blocks, proxies enable geo-targeted scraping. Need search results as they appear in Germany? Route through a German IP. Want product prices on a Japanese e-commerce site? Use a Japanese residential address. This geographic flexibility is critical for accurate, location-specific data collection.
Residential vs Datacenter Proxies for Scraping
Residential Proxies
- Real ISP-assigned IPs from home devices
- Extremely low detection and block rate
- Best for protected sites (Google, Amazon, social media)
- Higher cost per GB but fewer failed requests
Datacenter Proxies
- IPs from cloud providers and data centers
- Very fast with low latency
- Best for lenient targets and high-volume jobs
- Lower cost but higher block rate on protected sites
For most scraping projects, residential proxies are the safer bet. They cost more per gigabyte, but because fewer requests fail you often spend less overall. Datacenter proxies still have their place for targets with minimal bot protection or when speed is the primary concern.
Rotation Strategies That Work
Rotating vs Sticky Sessions
Rotating proxies assign a fresh IP to every request. This is ideal for scraping search results, product listings, or any page where each request is independent. Sticky sessions keep the same IP for a defined period, which is necessary when you need to log in, paginate, or maintain a session across multiple requests.
With GlobeData you control this through your username. Default behavior is rotation. Append -session-abc123-ttl-300 to your username to hold the same IP for five minutes.
A common best practice is to rotate IPs on every request for catalog pages and use sticky sessions only for checkout flows or authenticated scraping. This minimizes bandwidth usage while keeping sessions intact where they matter.
Code Example: Python Requests with Proxy
import requests
# Rotating proxy (new IP every request)
proxy = {
"http": "http://USER-country-US:PASS@proxy.globedata.io:8080",
"https": "http://USER-country-US:PASS@proxy.globedata.io:8080"
}
# Scrape multiple pages with automatic rotation
urls = [
"https://example.com/products?page=1",
"https://example.com/products?page=2",
"https://example.com/products?page=3",
]
for url in urls:
response = requests.get(url, proxies=proxy, timeout=30)
print(f"{url} -> {response.status_code}")
# Sticky session (same IP for 5 minutes)
sticky_proxy = {
"http": "http://USER-session-scrape01-ttl-300:PASS@proxy.globedata.io:8080",
"https": "http://USER-session-scrape01-ttl-300:PASS@proxy.globedata.io:8080"
}
session = requests.Session()
session.proxies = sticky_proxy
login = session.post("https://example.com/login", data={"user": "me"})
data = session.get("https://example.com/dashboard")Anti-Detection Tips for Scraping
Proxies alone are not enough to avoid detection on well-protected sites. Combine residential proxies with these techniques for the highest success rate:
- Realistic User-Agent strings - Rotate browser-like User-Agent headers. Avoid default library headers like
python-requests/2.x. - Request timing - Add random delays between requests (1-5 seconds). Constant intervals look robotic.
- Accept headers - Include Accept, Accept-Language, and Accept-Encoding headers that match a real browser.
- Referer headers - Set a believable Referer, such as a search engine results page, for each request.
- Handle JavaScript - For JS-rendered pages, use headless browsers like Playwright behind your proxy rather than raw HTTP requests.
- Respect robots.txt - While not legally binding in all jurisdictions, respecting crawl rules reduces the chance of IP bans.
Why GlobeData Is Ideal for Scraping
GlobeData provides 90M+ residential IPs across 195+ countries with both rotating and sticky session support built in. There are no separate rotation fees or session charges - you pay only for bandwidth starting at $2.30 per GB. Country targeting is as simple as appending a country code to your username, and our infrastructure has no per-request timeouts, so large downloads and slow pages complete without interruption.
Our proxy endpoint supports both HTTP and SOCKS5 protocols, meaning it integrates with virtually any scraping framework: Scrapy, Puppeteer, Playwright, Selenium, or plain HTTP libraries. Combined with pay-as-you-go pricing and no minimum commitment, GlobeData is built for scraping workloads of any size.
Frequently Asked Questions
What type of proxy is best for web scraping?
Residential proxies are the best choice for web scraping because they use real IP addresses assigned by ISPs, making requests appear as normal user traffic. This dramatically reduces the chance of being blocked compared to datacenter proxies.
How many proxies do I need for web scraping?
With rotating residential proxies, you only need a single proxy endpoint because the service automatically assigns a new IP for each request. For datacenter proxies, a pool of 50-200 IPs is typically recommended for medium-scale scraping.
Can websites detect proxy usage during scraping?
Websites can detect datacenter proxies relatively easily through IP reputation databases. Residential proxies are much harder to detect because they originate from real ISP-assigned addresses. Combining residential proxies with proper request headers, realistic timing, and fingerprint management makes detection very unlikely.
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