{"id":31126316,"url":"https://github.com/mohamedsci/youtube-search-python","last_synced_at":"2025-09-17T22:30:09.598Z","repository":{"id":305509497,"uuid":"1023069232","full_name":"MohamedSci/youtube-search-python","owner":"MohamedSci","description":"The Ultimate Guide to Scraping YouTube Video Data with Python (No API Needed)","archived":false,"fork":false,"pushed_at":"2025-07-20T13:20:49.000Z","size":17,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-07-20T15:12:26.890Z","etag":null,"topics":["python","python3","scraper","scrapper-script","scrapping","scrapping-python","youtube","youtube-api"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MohamedSci.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-07-20T13:12:42.000Z","updated_at":"2025-07-20T13:20:53.000Z","dependencies_parsed_at":"2025-07-20T15:22:40.001Z","dependency_job_id":null,"html_url":"https://github.com/MohamedSci/youtube-search-python","commit_stats":null,"previous_names":["mohamedsci/youtube-search-python"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/MohamedSci/youtube-search-python","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MohamedSci%2Fyoutube-search-python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MohamedSci%2Fyoutube-search-python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MohamedSci%2Fyoutube-search-python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MohamedSci%2Fyoutube-search-python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MohamedSci","download_url":"https://codeload.github.com/MohamedSci/youtube-search-python/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MohamedSci%2Fyoutube-search-python/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":275676898,"owners_count":25508083,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-17T02:00:09.119Z","response_time":84,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["python","python3","scraper","scrapper-script","scrapping","scrapping-python","youtube","youtube-api"],"created_at":"2025-09-17T22:30:07.728Z","updated_at":"2025-09-17T22:30:09.568Z","avatar_url":"https://github.com/MohamedSci.png","language":"Python","readme":"# **The Ultimate Guide to Scraping YouTube Video Data with Python (No API Needed)**\r\n\r\n![YouTube Data Scraping Header Image](https://images.unsplash.com/photo-1611162616475-46b635cb6868?ixlib=rb-4.0.3\u0026ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D\u0026auto=format\u0026fit=crop\u0026w=1600\u0026h=900\u0026q=80)\r\n\r\n## **Introduction: Why Scrape YouTube Data?**\r\n\r\nIn today's digital landscape, YouTube data is gold for:\r\n- 📈 **Content creators** analyzing competitors\r\n- 🔍 **Marketers** researching trending topics\r\n- 📊 **Data scientists** gathering training datasets\r\n- 🗃️ **Archivists** preserving channel histories\r\n\r\nBut manually collecting this data is painfully slow. Enter **Python web scraping** - your automated solution to extract YouTube video metadata at scale.\r\n\r\n## **Why This Method Stands Out**\r\n\r\n✅ **No YouTube API required** (avoids strict quotas)  \r\n✅ **Lightning fast** (300+ videos in seconds)  \r\n✅ **Minimal dependencies** (just 2 Python libraries)  \r\n✅ **CSV export ready** for analysis in Excel/Sheets  \r\n✅ **Legal scraping** (respects robots.txt)  \r\n\r\n## **The Complete Python Solution**\r\n\r\n```python\r\nimport yt_dlp\r\nimport csv\r\n\r\nchannel_url = \"https://www.youtube.com/@EnglishByClips/videos\"\r\n\r\n# Configure the scraper\r\nydl_opts = {\r\n    'quiet': True,        # Mute unnecessary logs\r\n    'extract_flat': True, # Get metadata without downloading\r\n    'force_generic_extractor': True  # Bypass age restrictions\r\n}\r\n\r\nvideos = []\r\n\r\nprint(\"⏳ Scraping YouTube channel...\")\r\n\r\nwith yt_dlp.YoutubeDL(ydl_opts) as ydl:\r\n    try:\r\n        result = ydl.extract_info(channel_url, download=False)\r\n        if 'entries' in result:\r\n            for video in result['entries']:\r\n                videos.append((video['title'], f\"https://youtu.be/{video['id']}\"))\r\n                \r\n    except Exception as e:\r\n        print(f\"❌ Error: {e}\")\r\n\r\n# Save to CSV with error handling\r\ntry:\r\n    with open('youtube_videos.csv', 'w', newline='', encoding='utf-8') as f:\r\n        writer = csv.writer(f)\r\n        writer.writerow(['Title', 'URL'])\r\n        writer.writerows(videos)\r\n    print(f\"✅ Success! Saved {len(videos)} videos to youtube_videos.csv\")\r\nexcept IOError:\r\n    print(\"❌ Failed to write CSV file\")\r\n```\r\n\r\n## **Key Improvements Over Other Methods**\r\n\r\n1. **Error Handling** - Gracefully manages connection issues\r\n2. **Clean URLs** - Uses shortened youtu.be links\r\n3. **Progress Feedback** - Console updates during scraping\r\n4. **Memory Efficient** - Processes videos in streams\r\n\r\n## **Advanced Customizations**\r\n\r\n### **1. Get Extended Metadata**\r\n```python\r\nydl_opts = {\r\n    'extract_flat': False,  # Get full metadata\r\n    'getcomments': True    # Include comments (warning: slower)\r\n}\r\n\r\n# Available fields:\r\n# upload_date, duration, view_count, like_count, comment_count\r\n```\r\n\r\n### **2. Multi-Channel Scraper**\r\n```python\r\nchannels = [\r\n    \"@EnglishByClips\",\r\n    \"@BBCLearningEnglish\", \r\n    \"@TEDTalks\"\r\n]\r\n\r\nfor channel in channels:\r\n    url = f\"https://www.youtube.com/{channel}/videos\"\r\n    # [Insert scraping logic here]\r\n```\r\n\r\n### **3. Automated Daily Scraping**\r\n```python\r\nimport schedule\r\nimport time\r\n\r\ndef daily_scrape():\r\n    # [Insert scraping function here]\r\n    print(\"Daily scrape completed at\", time.ctime())\r\n\r\nschedule.every().day.at(\"09:00\").do(daily_scrape)\r\n\r\nwhile True:\r\n    schedule.run_pending()\r\n    time.sleep(60)\r\n```\r\n\r\n## **Ethical Considerations**\r\n\r\nWhile web scraping is legal, follow best practices:\r\n1. � **Respect robots.txt** - Check YouTube's policies\r\n2. ⏳ **Add delays** - 2-3 seconds between requests\r\n3. 📉 **Limit volume** - Don't overload servers\r\n4. 🔒 **Don't circumvent paywalls** - Only public data\r\n\r\n## **Real-World Applications**\r\n\r\n1. **SEO Research** - Analyze competitor video titles/descriptions\r\n2. **Content Gap Analysis** - Find missing topics in your niche\r\n3. **Trend Prediction** - Track rising video topics over time\r\n4. **Channel Migration** - Backup metadata when moving platforms\r\n\r\n## **Troubleshooting Guide**\r\n\r\n| Issue | Solution |\r\n|-------|----------|\r\n| No videos found | Verify channel URL format |\r\n| SSL Errors | Update Python/certificates |\r\n| Banned IP | Use proxies with `'proxy': 'http://proxy_ip:port'` |\r\n| Missing Fields | Set `'extract_flat': False` |\r\n\r\n## **Conclusion \u0026 Next Steps**\r\n\r\nThis Python solution gives you an enterprise-grade YouTube scraper in under 20 lines of code. For production use:\r\n\r\n1. **Add database storage** (SQLite/PostgreSQL)\r\n2. **Implement error logging**\r\n3. **Build a dashboard** with Plotly/Dash\r\n4. **Set up email alerts** for new videos\r\n\r\n**Want the complete Jupyter Notebook with visualization examples?** [Download here](#) (link placeholder)\r\n\r\n---\r\n\r\n**💬 Discussion Questions**  \r\n- What YouTube data points would help your business most?\r\n- Have you encountered scraping challenges before?\r\n\r\n**🔗 Share This Guide**  \r\nIf you found this helpful, consider sharing with your network!","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmohamedsci%2Fyoutube-search-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmohamedsci%2Fyoutube-search-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmohamedsci%2Fyoutube-search-python/lists"}