Developer Cuts Content Research From 10 Hours to 30 Minutes Using Python and APIs

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A developer shared a step-by-step system for automating content research using Python, reducing a previously manual 10-hour weekly task to under 30 minutes. The pipeline combines the Serper API to pull structured Google search data, BeautifulSoup to parse web page content, and Google's Gemini API to synthesize findings into usable content briefs. The system targets three goals: identifying real user questions from Reddit and Quora, spotting competitor content gaps, and producing a clean brief ready for writing or AI generation. The entire setup relies on three Python libraries — requests, BeautifulSoup, and google-generativeai — and costs approximately twelve dollars per month in API fees. The author also notes that a more complete version with a Flask web interface and WordPress publishing integration is documented separately.

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