agent-data: Structured Web Data for OpenClaw Agents, 70% Cheaper Than Browser Automation

agent-data is a new tool that gives AI agents like OpenClaw access to structured web data through purpose-built Python API endpoints. It covers sources like X and Reddit posts, flight fares and statuses, and live job postings — all without browser automation.
Key Details
- Each endpoint is a pure Python API designed for AI agent consumption, with intuitive parameters and structured output by default.
- Progressive disclosure for token management helps control costs.
- The author benchmarked agent-data against browser automation and ad-hoc scraping, finding it both significantly cheaper and more reliable. Full benchmark results: agent-data.dev/blog/benchmarking-ai-agent-web-access/
- Use cases include daily summaries of r/OpenClaw posts or notifications when roundtrip flights to SFO drop below $300.
Who It's For
Developers using OpenClaw (or similar AI agents) who need reliable, cost-effective access to structured web data for recurring tasks.
📖 Read the full source: r/openclaw
👀 See Also

2-Prompt System to Carry Context Between Claude Chats Without Token Waste
A developer shares two prompts for compressing an entire Claude conversation into a structured context block and loading it into a fresh chat, preserving decisions, work, and next steps.

OpenClaw vs Hermes: Different Design Philosophies for AI Agents
OpenClaw is a multi-channel gateway connecting WhatsApp, Telegram, Discord, Slack, and iMessage with a massive skill ecosystem, while Hermes is a learning agent that evaluates tasks, saves patterns as reusable skills, and builds a model of your workflow over time.

HolyCode: Docker Container for Persistent Claude AI Coding Environments
HolyCode is a Docker container that maintains AI coding environment state across machine switches and rebuilds. It includes 30+ preinstalled tools, browser automation with Chromium + xvfb + Playwright, and preserves context in ./data/opencode.

Implementing AI Checks with Continue for Source-Controlled PR Reviews
Continue integrates AI checks directly into your pull request workflow by using markdown files as source-controlled checks, visible through GitHub status checks.