parastejpal987-cmyk/opticparse-public
by Various
Stealth Multimodal Web Scraper & 0-Day Phishing Shield for AI Agents. Alternative to Firecrawl & Crawl4AI with zero-CSS vision extraction, 200 free trial credits, and native LangCh
MCP
parastejpal987-cmyk/opticparse-public
Added 8 Sept 2026
Overview
Opticparse is a multimodal web scraper for AI agents, using vision-based extraction instead of CSS selectors to parse page content. It includes a phishing shield to protect agents from malicious sites and offers 200 free trial credits. Native integrations are available for LangChain, ElizaOS, and MCP.
Best for
Best for
Developers building AI agents that need resilient scraping and phishing protection.
Use cases
- Extract data from complex pages without maintaining CSS selectors
- Protect AI agents from phishing sites during automated browsing
- Feed scraped web content into LangChain or MCP pipelines
Notes
Opticparse is a multimodal web scraper for AI agents, using vision-based extraction instead of CSS selectors to parse page content. It includes a phishing shield to protect agents from malicious sites and offers 200 free trial credits. Native integrations are available for LangChain, ElizaOS, and MCP.
1 stars on GitHub. Last updated 2026-09-08. Licensed MIT.
Use cases
- Extract data from complex pages without maintaining CSS selectors
- Protect AI agents from phishing sites during automated browsing
- Feed scraped web content into LangChain or MCP pipelines
Pros
- Vision extraction avoids brittle CSS selector maintenance
- Built-in phishing shield adds safety for agent workflows
- Supports multiple agent frameworks out of the box
Cons
- Single GitHub star signals early-stage maturity
- JavaScript-only implementation limits language reach
- Stealth positioning may complicate transparency and trust
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Vision extraction avoids brittle CSS selector maintenance
- Built-in phishing shield adds safety for agent workflows
- Supports multiple agent frameworks out of the box
Cons
- Single GitHub star signals early-stage maturity
- JavaScript-only implementation limits language reach
- Stealth positioning may complicate transparency and trust
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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browsermcp/mcp
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Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
agent-infra/mcp-server-browser
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The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
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