{
  "id": 18524563,
  "title": "Web Scraping with Claude Code: A Working Workflow with Gaffa",
  "url": "https://urgent.news/2026/11/06/web-scraping-with-claude-code-a-working-workflow-with-gaffa",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-06T16:13:12.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/kevin_menesesgonzlez/web-scraping-with-claude-code-a-working-workflow-with-gaffa-11po"
  },
  "original_language": "en",
  "account": "The article discusses a workflow for web scraping using Claude Code and Gaffa, focusing on the challenges of writing scrapers and how Gaffa's AI skills can help discover, build, and debug the scraping process. The author demonstrates a working example using the books.toscrape.com site, which contains 1,000 books across 50 categories. The workflow involves discovering the site, building a pagination scraper, exporting the data to a CSV file, and verifying the results.\n\nKey points:\n1. Writing a scraper is easy, but the surrounding tasks like pagination, handling slow-loading pages, and error checking are difficult.\n2. Claude Code can write a scraper in one shot, but the real challenge lies in the post-processing and verification of the data.\n3. Gaffa's AI skills, including /gaffa-find, /gaffa-authoring, and /gaffa-debug, can help automate the discovery, creation, and debugging of web scrapers.\n4. The setup process using the gaffa-dev CLI is straightforward, and the workflow can be customized for different categories and data fields.\n5. The workflow involves three main steps: discovering the site, building the scraper, and verifying the output.\n6. The final script, books_to_csv.py, can paginate through multiple pages, extract specific fields, and export the data to a CSV file with customizable categories and output formats.",
  "summary": "Scraping scripts rarely fail on day one. They fail quietly on day ten. The script runs. No exception. A CSV appears. And somewhere in it, 24 rows are missing. Nobody notices until the data is already in a dashboard. If you're: collecting product, pricing or catalogue data, using Claude Code to write your scrapers, or tired of scripts that \"work\" but return half the data, This matters. I gave…",
  "key_points": [
    "Writing a scraper is straightforward, but post-processing and verification are challenging.",
    "Claude Code can generate a scraper quickly, but data verification remains crucial.",
    "Gaffa's AI tools help automate scraper discovery, creation, and debugging."
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}