I Built a Medium Article Scraper for Content Analysis & Research.

Sunday Victor — Mon, 22 Dec 2025 06:37:11 +0000

After spending hours manually collecting Medium articles for my research project, I decided to automate the process. Today, I'm sharing my Medium Article Scraper built on the Apify platform.

🎯 What Does It Do?

The scraper extracts comprehensive data from Medium articles:

Article Content: Full text, title, and subtitle
Author Information: Writer name and profile
Metadata: Publication date, reading time
Engagement: Response counts (comments)
Export Options: JSON and CSV formats

💡 Why I Built This

As a developer working on content analysis projects, I frequently needed to:

Collect articles for sentiment analysis
Build datasets for ML models
Analyze writing trends across topics
Archive important articles for research

Manually copying and pasting was time-consuming and error-prone. This scraper solves that problem.

🛠️ Tech Stack

Crawlee: Modern web scraping framework
Playwright: Headless browser automation
BeautifulSoup: HTML parsing
Apify SDK: Cloud infrastructure
Python 3.11: Core language

🚀 Key Features

1. Reliable Scraping

Uses residential proxies and automatic retries to avoid blocking. Handles Medium's dynamic content loading gracefully.

2. Clean Data Output

Exports structured data ready for analysis:

{
  "title": "10 Python Tips Every Developer Should Know",
  "author": "John Doe",
  "date": "Dec 15, 2024",
  "read_time": "8 min read",
  "content": "Python is a powerful programming language...",
  "subtitle": "A comprehensive guide",
  "response_count": "42"
}

3. Easy to Use

Just provide Medium article URLs and hit run. No configuration needed.

📊 Use Cases

For Researchers:

Collect articles for academic studies
Analyze content trends over time
Build corpora for NLP research

For Content Creators:

Study successful article structures
Analyze competitor content
Track writing trends in your niche

For Data Scientists:

Create training datasets
Sentiment analysis projects
Text classification models

For Marketers:

Competitive analysis
Content strategy research
Trend identification

🎓 What I Learned

Building this scraper taught me valuable lessons:

Dynamic Content Challenges: Medium loads content with React, requiring careful timing and selector strategies
Rate Limiting: Residential proxies are essential for reliable scraping
Error Handling: Robust error handling makes the difference between a toy project and production-ready tool
User Experience: Simple input schemas and clear output formats matter

🔮 Future Plans

I'm working on two companion scrapers:

Medium Comment Scraper: Extract all comments from articles
Medium Profile Scraper: Get author profiles and article lists

🚦 Getting Started

Visit apify.com/sunvic567/medium-article-scraper
Click "Try for Free"
Add your Medium article URLs
Run and download results

Pricing: Pay-as-you-go, approximately $0.10-$0.15 per 100 articles.

⚖️ Ethical Considerations

Please use responsibly:

Respect Medium's Terms of Service
Don't scrape paywalled content you don't have access to
Use for legitimate purposes (research, analysis, personal archiving)
Respect copyright - don't republish scraped content

🤝 Feedback Welcome

This is my first published Apify Actor, and I'd love your feedback! Have feature requests? Found a bug? Let me know in the comments.

🔗 Links

Try the scraper: apify.com/sunvic567/medium-article-scraper
Twitter: [@sunvic567]

What would you use a Medium scraper for? Drop your ideas in the comments! 💬

Getting into AI Agent

Sunday Victor — Tue, 16 Dec 2025 19:00:05 +0000

I started learning how to build Ai agent around November and I have built an ai question generator (it is hosted on A
pify). it takes document, extract content of the file, analyse the text extracted and select the key concept or important topic and generate question about those concepts. I would like honest feedback from more experience developer or workflow builder who will try to integrate it into their workflow what they think and what they could have done better

DEV Community: Sunday Victor