Alternatives
Products that do what IntegrityGuard does
Middleware makes scraping unprofitable with proof-of-work
- 1
- 2
- 3SA
Alright so if you run a self-hosted blog, you've probably noticed AI companies scraping it for training data. And not just a little (RIP to your server bill). There isn't much you can do about it without cloudflare. These companies ignore robots.txt, and you're competing with teams with more resources than you. It's you vs the MJs of programming, you're not going to win. But there is a solution. Now I'm not going to say it's a great solution...but a solution is a solution. If your website contains content that will trigger their scraper's safeguards, it will get dropped from their data…
Dec 2025 · github.com
- 4
Benchmark proxies for reliable, target-specific scraping
29d ago · scrapeops.io
- 5SA
2014 · github.com
- 6
- 7
- 8
- 9IB
Hey HN -- I'm a solo dev. Built this because I got tired of AI crawlers reading my HTML in plain text while robots.txt did nothing. The core trick: shuffle characters and words in your HTML using a seed, then use CSS (flexbox order, direction: rtl, unicode-bidi) to put them back visually. Browser renders perfectly. textContent returns garbage. On top of that: email/phone RTL obfuscation with decoy characters, AI honeypots that inject prompt instructions into LLM scrapers, clipboard interception, canvas-based image rendering (no img src in DOM), robots.txt blocking 30+ AI crawlers, and…
Mar 2026 · obscrd.dev
- 10
- 11
We've been trying to evaluate web scraping companies, but when you look at their benchmarks, you can't verify anything, and they mostly exist to prove the company is successful. They put somewhere between 98% and 100% because they pick their own urls, define success their own way, and don't publish the harness. We also saw companies like scrapfly astroturf websites like scrapeway and call them independent. So, we built an open source benchmark that we want to represent the frontier of web data. We're trying to look across all major anti-bot providers and industries, to build a comprehensive…
Jul 2026 · github.com
- 12LS
2024 · github.com
- 13SI
2014 · scrape.it
- 14
- 15
- 16VW
2020 · github.com
- 17WS
2020 · openfaas.com
- 18
- 19DS
2017 · stdlib.com
- 20RL
We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: - Raw HTML is full of nav bars, footers, and tracking junk that eats your token budget. A typical product page is 80% noise. - LLMs return malformed JSON more often than you'd expect, especially with…
Mar 2026 · github.com
- 21
RAG-ready web scraping that cuts your LLM token costs
Apr 2026 · geekflare.com
- 22SA
2014 · github.com
- 23GB
2017 · github.com
- 24CH
There is a growing number of companies offering anti-bot protection SaaS to protect websites from scraping by automated bots based on Puppeteer/Selenium. Most of them rely on browser properties such as headers, javascript properties (window., navigator.), behavior analysis, to build device/user fingerprints and match it against a database of "whitelisted" fingerprints (typical user behavior/settings/device props etc). For the past few months, together with two other devs I have worked on a customized Puppeteer/Playwright scraping backend. It's essentially a drop-in…
2021
Ranked by how close each launch is in meaning, then by votes. Refine with a description →