About using proxies for web scraping

[Faizankhan113]

Body

I am thinking of making a project which does a price comparision of a particular product around several e-commerce website using web scraping .But as i find out using my original ip address is at a risk of getting blocked so i am wondering if using proxies ip address are safe or not . also if safe i would like some suggestions as to where should I take those proxies ip address .

Guidelines

• I have read and understood this category's guidelines before making this post.

[tanyatiwari995]

Are Proxies Safe for Web Scraping?
Yes, if used correctly → Proxies can protect your identity and prevent IP bans.
No, if misused → Some websites have strict policies against scraping, and violating them could lead to legal consequences.

Types of Proxies You Can Use
Datacenter Proxies – Fast but easily detectable
Residential Proxies – Harder to block, but costly
Rotating Proxies – Automatically switch IPs to avoid bans
Free Proxies – Risky, slow, and often unreliable
Where to Get Proxies?
Paid Services (Recommended) → Bright Data, Oxylabs, Smartproxy
Free Proxies (Risky) → ProxyScrape, FreeProxyList
Self-Hosted Proxies → Set up your own proxy servers with a VPN
Best Practices for Web Scraping with Proxies
Use rotating proxies to avoid rate limits
Respect robots.txt (Some sites allow/disallow scraping)
Make requests at a reasonable rate to avoid suspicion
Use headless browsers & delay requests for better stealth

Legal Considerations
Always check a website’s Terms of Service before scraping. Some websites explicitly prohibit it, and scraping against their rules can lead to legal issues.

[Faizankhan113]

thanks for the insight and i think i will use them but since its not professional project i would like to use free proxies ip address and i understand that they might be slow and sometimes stops working but my main concern is related to security of my system so my question is - if I use free proxies ip address is there any chance my system can be attacked by some bad people due to using proxies ip address?? (forgive me if it sounds like a dumb question ,As i am fairly new in the networking and programming)

[Mington84]

Yeah, free proxies can be kind of risky from a security point of view. Sometimes those free proxy servers are poorly maintained or even set up by people with bad intentions, so there’s a chance your system or data could get exposed to viruses or be tracked. I remember trying free proxies for a school assignment and my browser started acting weird and slow, so I ditched them quick after a few sketchy experiences.

Now, whenever I need proxies for scraping or similar stuff, I stick to proper paid or trusted services instead because there’s less chance of your info being sniffed or messed with. Learned about a bunch of these safer options while reading up on web crawling tech through CrawlBase, which has pretty solid details on staying secure.

[mismarlyon]

Yes, using proxies is standard practice for scraping, especially for something like cross-site price comparison. But they’re not a silver bullet. You’re basically shifting the “block risk” from your own IP to the proxy IP pool. If your request patterns look bot-like, you’ll still get flagged.

For your use case, think in terms of architecture:

1. Proxy type

• Start with datacenter proxies (cheaper, faster, good for public product pages)
• Switch to residential proxies if you hit aggressive anti-bot systems, captchas, or geo-based pricing

2. Request strategy (more important than proxies)

• Add rate limiting (e.g. 1–5 req/sec per IP depending on site)
• Implement IP rotation (per request or per session)
• Use randomized User-Agents + headers
• Respect cookies/session handling when needed
• Avoid hitting the same endpoint in tight loops

3. Failure handling

• Detect 403 / 429 / captcha responses
• Retry with exponential backoff
• Automatically switch proxy/IP on failure

4. Scaling pattern

• Queue-based system (e.g. Redis, RabbitMQ)
• Worker pool consuming URLs
• Each worker assigned a proxy from a pool

5. Basic Python example (requests + proxy):

import requests

proxies = {
    "http": "http://user:pass@ip:port",
    "https": "http://user:pass@ip:port"
}

headers = {
    "User-Agent": "Mozilla/5.0 ..."
}

resp = requests.get("https://example.com/product", proxies=proxies, headers=headers, timeout=10)
print(resp.status_code)

Providers:
You can use any premium proxy servers, but ideally pick one that lets you scale from datacenter → residential without changing too much infra. I’ve used Squid Proxies for that since they offer both types and it’s easy to plug into scripts.

Reality check:
If you’re scraping major e-commerce sites (Amazon, Walmart, etc.), expect:

• aggressive rate limiting
• fingerprinting beyond IP (TLS, headers, behavior)
• occasional need for headless browsers (Playwright/Puppeteer)

Proxies are just one layer. Your scraper design is what actually determines whether it survives.