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OpticParse
Zero-CSS web scraper & threat shield for AI agents
OpticParse provides edge-native, zero-CSS web scraping and real-time cybersecurity scanning for autonomous AI agents. Built with native toolkits for LangChain, LlamaIndex, MCP (Claude & Cursor), and ElizaOS. Extracts clean Markdown with 96% noise reduction while PhishVision shields agents from zero-day phishing kits and crypto wallet drainers.
Hey Product Hunt community! 👋
We built OpticParse because we kept running into the same frustrating problem: whenever websites update their layout or rotate their CSS class names, automated scraping in our AI agents broke.
OpticParse uses visual heuristics at the edge to convert complex, dynamic JavaScript pages into clean Markdown without fragile selectors, cutting HTML token noise by 96%.
Along with it, we built PhishVision directly into the retrieval loop—giving agents an active security shield to inspect unknown URLs for brand spoofing, phishing kits, and wallet drainers before clicking.
Everything is open-source and live on PyPI:
- pip install langchain-opticparse
- pip install llama-index-tools-opticparse
We'd love to hear your feedback, questions, and ideas for new features!
About OpticParse on Product Hunt
“Zero-CSS web scraper & threat shield for AI agents”
OpticParse was submitted on Product Hunt and earned 2 upvotes and 2 comments, placing #44 on the daily leaderboard. OpticParse provides edge-native, zero-CSS web scraping and real-time cybersecurity scanning for autonomous AI agents. Built with native toolkits for LangChain, LlamaIndex, MCP (Claude & Cursor), and ElizaOS. Extracts clean Markdown with 96% noise reduction while PhishVision shields agents from zero-day phishing kits and crypto wallet drainers.
On the analytics side, OpticParse competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how OpticParse performed against the three products that launched closest to it on the same day.
Who hunted OpticParse?
OpticParse was hunted by Paras Tejpal. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of OpticParse including community comment highlights and product details, visit the product overview.
Paras Tejpal