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Python in Action: 60 Mini Projects to Automate Everything (Part 2): Practical CLI Tools, File Automation, and Data Cleaning with CSV, Excel, and JSON
Paperback
Series: Python in Action: 60 Mini Projects to Automate Everything, Book 2
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ISBN13: 9798246278888
Publisher: Independently Published
Published: Jan 30 2026
Pages: 388
Weight: 1.14
Height: 0.80 Width: 6.00 Depth: 9.00
Language: English
Publisher: Independently Published
Published: Jan 30 2026
Pages: 388
Weight: 1.14
Height: 0.80 Width: 6.00 Depth: 9.00
Language: English
Python in Action: 60 Mini Projects to Automate Everything - Part 2 is where Python goes online.
If Part 1 helped you build solid foundations-project structure, clean CLIs, logging, validation, and real-world data handling-Part 2 (Mini Projects 21-40) teaches you how to work with the outside world: websites that change, services that rate-limit you, flaky connections, inconsistent responses, and data you can't trust until you validate it.
If Part 1 helped you build solid foundations-project structure, clean CLIs, logging, validation, and real-world data handling-Part 2 (Mini Projects 21-40) teaches you how to work with the outside world: websites that change, services that rate-limit you, flaky connections, inconsistent responses, and data you can't trust until you validate it.
This volume is built for doing, not skimming. Each mini project ends with a practical tool you can reuse: scrapers that export clean datasets, monitors that detect changes, downloaders that save files with sane names, and API clients that behave like professional software.
What you'll build in Part 2
Block 3 - Responsible Web Scraping & Web Automation (21-30)
What you'll build in Part 2
Block 3 - Responsible Web Scraping & Web Automation (21-30)
- Headline scraper (title/date/link) → CSV
- Pagination scraper that consolidates results
- Rate limiting with retries and backoff
- HTML table extraction and normalization
- Change monitor (diff + alerts)
- Price/stock monitor (report mode)
- PDF downloader with clean filenames
- Page archiver (HTML + metadata + hash)
- Feed builder (scraping → RSS/JSON)
- A polite scraper: cache, user-agent, basic robots awareness, retries, and logs
- Simple GET/POST client with consistent error handling
- Token authentication + simulated refresh
- Universal pagination with generators
- Rate limit handler that respects response headers
- Local TTL caching to reduce calls
- Offline mode: fall back to cache when the API fails
- Response validation with Pydantic + readable errors
- Batch requests with controlled concurrency
- Sync remote data to a local store using upsert logic
- A mini SDK package with docs, examples, and automated tests
- Python learners who want real projects, not toy examples
- Developers who can write scripts but want tools that don't break
- Anyone who wants a practical roadmap to web automation and API engineering
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