Medium article deep scraper with human login
Brief
Search Medium for articles by keyword, then extract complete article content, all reader comments with replies, and author profiles using secure human authentication.
What does Medium article deep scraper with human login do?
This template automates Medium article research by searching for articles on any topic, then extracting complete article data including full content, all reader comments with nested replies, and author profiles. Uses human login for secure authentication, allowing you to access member-only content and handle two-factor authentication. Perfect for content researchers, writers, competitors analysis, knowledge collection, and community sentiment analysis. Exports data in both CSV (for quick analysis) and JSON (for detailed content review) formats.
When to use: Research articles on specific topics, collect complete content + discussions, analyze reader feedback, build knowledge bases, study competitor insights, or extract writing samples.
What data can you scrape from Medium ?
Article Metadata: Title, URL, date, author, bio, followers
Article Content: Full body text, images, captions, tags
Metrics: Views, claps, bookmarks, shares, comments
Comments & Discussions: Full text, author profiles, dates, likes, all nested replies with threading structure
Export: CSV for metadata, JSON for complete content + hierarchical comments
How to use Medium article deep scraper with human login ?
1. Import template
2. Log in to Medium manually (15 min timeout, 2FA supported)
3. Set search keyword, max articles (1-30)
4. Run workflow (20-150 min)
5. Download CSV (metadata overview) and JSON (full content + comments)
CSV: Quick overview in spreadsheet
JSON: Complete article text and comment threads preserved with nesting
Why scrape Medium ?
Content Research: Build knowledge base, access full discussions
Competitive Analysis: Monitor competitor publishing, analyze feedback
Writing Strategy: Study successful structure, find topic inspiration
Market Intelligence: Extract community feedback on trends/products
Product Development: Gather user feedback and pain points
Journalism: Source content, collect reactions, verify perspectives
Key Features:
✅ Deep Data Extraction
✅ Complete Comments (no limits)
✅ Human Login (secure)
✅ Two-Factor Auth Support
✅ Paywall Access
✅ Flexible Modes
✅ Dual Export Format
✅ Comment Threading
✅ Author Profiles
Best Practices:
- Add delays to avoid rate limiting
- Use appropriate mode for your needs
- Schedule regular runs
- Start with smaller counts
Limitations:
- Paywall requires membership
- Public data only
- Rate limiting possible
