Online Sales Course Data Scraping
Költségvetés: $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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