scraping-youtube-podcast-guests

Workflow

1. Confirm the campaign niche, source list, or input file.
2. Read references/setup.md if the repo is not configured.
3. Prefer scripts/run_podcast_intelligence_waterfall.py for an out-of-the-box guest/interviewee sheet.
4. Use scripts/build_interviewee_linkedin_list.py when source URLs are already known.
5. Use lower-level scripts only when debugging or when the user needs just one stage.
6. Write descriptive outputs under data/ or .tmp/.
7. Preserve evidence and candidate fields for review.

Scripts

• scripts/discover_podcasts.py
• scripts/ingest_research_report.py
• scripts/match_linkedin_profiles.py
• scripts/resolve_youtube_channels.py
• scripts/scrape_youtube_podcast_guests.py
• scripts/scrape_audio_podcast_guests.py
• scripts/transcribe_audio_episodes.py
• scripts/ocr_thumbnails.py
• scripts/genspark_assisted.py
• scripts/extract_youtube_urls_from_report.py
• scripts/build_interviewee_linkedin_list.py
• scripts/run_podcast_intelligence_waterfall.py
• scripts/enrich_linkedin_via_apify_serp.py

References

• references/research-report-workflows.md for turning pasted reports into podcast, episode, and LinkedIn enrichment outputs.

Guardrails

• Never hardcode API keys.
• Never accept low-confidence LinkedIn matches automatically.
• Do not scrape LinkedIn directly unless the user provides a compliant workflow.
• Keep raw private research reports out of git unless sanitized.