Practical guides to working with web data: YouTube transcripts, screenshots and PDFs, news monitoring, and tools for AI agents. Every code sample runs against a real API.
A practical guide to fetching YouTube transcripts from code: why DIY scrapers get IP-blocked on servers, working Python, Node.js and curl examples, languages and translation, SRT/VTT, playlists, and chunking transcripts for LLMs.
How to give AI agents reliable access to YouTube transcripts, web page screenshots and Google News results, through a hosted MCP server or plain tool calling. Setup for Claude, Cursor and VS Code, plus tool design tips that keep context small.
How to capture website screenshots from code without running your own headless browser fleet. Working Python and Node.js examples for full-page, mobile, retina and PDF captures, late-loading pages, and a batch script with retries.
A step-by-step guide to monitoring brand, competitor and industry news in Python. Design queries, fetch Google News results as JSON, deduplicate, store in SQLite, and send a daily digest, in about 120 lines of code.
A practical guide to generating PDFs from HTML for invoices, reports and certificates. Print CSS that works, page sizes and breaks, waiting for fonts and charts, rendering private documents via signed URLs, and a batch pipeline for thousands of PDFs.
How data API pricing models really compare. Credits, per-request, per-result and subscription pricing explained, the hidden costs to look for, and worked break-even examples using our own two pricing options, including when the cheaper one isn't our subscription.
Practical tutorials on transcripts, screenshots, news data and agent tooling. A couple of emails a month at most.
Plans from $29/month with 10,000 successful results. Failed requests never count. Cancel anytime from the billing portal.
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