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Run bulk web-extraction jobs with cheap batch-API agents

A developer uses coding agents for daily work and sets up cheap agents-SDK jobs on batch APIs for large runs like visiting 5000 websites to extract data, plus recurring cloud agent jobs. · Nov 4, 2026

Done withCCClaude CodeCXCodexMMMeta Muse

What they did
For large extraction runs, such as visiting 5000 websites and pulling something from each, the developer builds a cheap job with an agents SDK instead of using a main coding agent. The model is Muse, Deepseek, or GPT-6-luna, called through its batch API. Recurring work goes to cloud agents. Dotfiles and agent context live in a GitHub repo so harnesses and providers are easy to switch.
How it went
The source gives no results or numbers for the bulk runs themselves. It only describes the setup and why it was chosen: cost. Nothing is said about accuracy or failures.
Worth knowing
Batch APIs on cheaper models keep large runs inexpensive, but the comment gives no actual costs or turnaround times.

Try it yourself with Claude Code

I have a list of [number] websites in [file name or path]. Write a script that visits each one and extracts [the data fields you want, e.g. pricing, contact email, product list] into a single CSV, running it as a batch job to keep costs low. Test it on 10 sites first and show me the results and an estimated cost before starting the full run; you are done when the CSV has one row per site with failures logged separately.

Want help getting this working? Join the Vibe Coding Academy ↗ Run by Alex Finn, who also runs this site.

Read the original ↗

Source: HN · Nov 4, 2026

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