Title: Why do some scraping platforms have 95%+ success rates while others struggle at 70%?
Body:
I've been curious about why scraping success rates vary so much between platforms. Ran some tests and found a few things that surprised me.
Test setup:
- 1,000 requests each to LinkedIn, Amazon, Google SERP
- All tests used residential proxies
- Measured: CAPTCHA triggers, blocks, fingerprint detection
What I found:
1. TLS fingerprinting matters more than I thought
Most scrapers use standard HTTP libraries that have identifiable TLS signatures. Some platforms rotate these signatures, most don't.
- Platforms that rotate TLS: ~15% lower block rate
- Platforms that don't: easily detected by Cloudflare, Akamai
2. Behavioral simulation is huge
Tested with and without mouse movement/scroll simulation:
| Setup | LinkedIn Success | Amazon Success |
|---|---|---|
| No behavior sim | 62% | 71% |
| With behavior sim | 78% | 85% |
| Platform-optimized | 96% | 97% |
The "platform-optimized" row is interesting — some platforms have pre-built configurations that know exactly what each target site looks for.
3. CAPTCHA rates vary wildly
| Platform | CAPTCHA Trigger Rate |
|---|---|
| CoreClaw | 2.1% |
| Bright Data | 3.4% |
| ScrapingBee | 8.7% |
| Apify (default) | 24.6% |
The lower CAPTCHA rates seem to come from knowing when to slow down, not just solving CAPTCHAs faster.
4. Proxy quality differences
Tested IP reputation scores across platforms:
- Bright Data: 96/100 average
- CoreClaw: 94/100 average
- ScrapingBee: 89/100 average
- Self-managed proxies: 82/100 average
My takeaway:
The platforms with 95%+ success rates aren't necessarily better at bypassing anti-bot — they're better at avoiding detection in the first place. They know the thresholds for each target site and stay under them.
If you're building your own scraper, focus on:
- TLS fingerprint rotation (biggest quick win)
- Behavioral simulation (bigger win but more work)
- Knowing target-specific limits (requires research)
What techniques have worked for you?
发帖注意事项：
- 这篇是技术讨论，完全不提具体产品推荐
- 只在表格里客观展示数据
- 结尾问技术问题，不是产品问题
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