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Online Sales Course Data Scraping

Presupuesto: $3.0 - $30.0 HOURLY / PART_TIME ⭐ 5.00 (1) NLD

data-scraping, crawlers, data-mining, data-entry

I am looking for an experienced browser automation and data extraction specialist to help collect and organize content from an online sales training course that I have legitimate access to. The purpose of this project is to build a structured knowledge base that can later be used to develop and improve a sales script. The course is hosted on a login-protected platform and contains both video lessons and written content. The content cannot be downloaded directly through the platform, so the successful candidate must be able to work with dynamic web pages and browser-based course environments. The project may involve: Mapping all course modules and lessons Extracting lesson titles, written content, descriptions, and relevant metadata Collecting available subtitles, captions, or transcripts Creating transcripts of video lessons when no transcript is available Preserving timestamps where possible Organizing all extracted content by module and lesson Exporting the information into structured formats such as Markdown, TXT, CSV, JSON, or Excel Creating a completeness report showing which lessons were successfully processed and which items require manual review The final output should be clean, complete, well organized, and suitable for later analysis with AI tools such as Claude or ChatGPT. Preferred Technical Experience The ideal candidate has experience with: Playwright, Puppeteer, Selenium, or similar browser automation tools Python or JavaScript Login-protected and JavaScript-heavy websites Web scraping and structured data extraction Whisper or other speech-to-text tools Video and audio transcription workflows Captions and subtitle formats such as SRT or VTT Markdown, JSON, CSV, and Excel exports Organizing large amounts of educational content Expected Deliverables A complete index of all modules and lessons Written course content organized per lesson Video transcripts with timestamps where possible Available captions, subtitles, and supporting resources A structured folder system containing all course materials A report listing completed, missing, failed, or incomplete lessons The source code or automation workflow, if custom automation is developed Basic documentation explaining how the workflow can be run again
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