LA STRUTTURA DELLA LETTERA✍🏻
La corretta struttura di una lettera: la conosci?
#writingtips#scrittura
Conosci la struttura della lettera? 📭
Certo, nelle lettere personali possiamo scrivere come vogliamo ma forse ti può essere utile sapere quale sia la corretta struttura dell'epistola.
✅ Luogo e data.
✅ Apertura (una formula di saluto, l'inizio della lettera.
✅ Motivazione: il motivo che ci porta a scrivere.
✅ Contenuto centrale, trattazione.
✅ Conclusione e saluti.
✍🏻 Le lettere sono una tipologia scrittura terapeutica e la tradizione epistolare è davvero interessante.
Se vuoi saperne di più ti consiglio il mio libro Scrivere per guarire.📕📕📕
@writingway
🙌Se hai trovato interessante questo post e pensi possa piacere ad altri, inoltralo cliccando sulla freccia a destra.
#python#crawler#crawling#framework#hacktoberfest#python#scraping#web_scraping#web_scraping_python
Scrapy is a powerful tool for extracting data from websites. It works on many platforms and requires Python 3.9 or higher. Scrapy is free, stable, and can handle complex tasks efficiently. It allows you to manage multiple requests at once, making it fast and efficient for large-scale data extraction. Scrapy also supports various formats for storing data and has features like auto-throttling to prevent overwhelming websites. This makes it a great choice for users who need to collect data from many websites quickly and reliably.
https://github.com/scrapy/scrapy
#webScraping#Python#Scrapy
🐍
Scrapy course - Python web scraping for beginners
The Scrapy #Beginners Course will teach you everything you need to learn to start scraping websites at scale using #Python Scrapy.
Topics
- Creating your first #Scrapy spider
- #Crawling through websites & scraping data from each page
- Cleaning data with Items & Item Pipelines
- Saving data to CSV files, #MySQL & #Postgres#databases
- Using fake #user-agents & headers to avoid getting blocked
- Using #proxies to scale up your web scraping without getting banned
- Deploying your #scraper to the cloud & scheduling it to run periodically
🗣️ Joe Kearney.
🔗Link
📢#youtube
⭐️ Resources ⭐️
Course Resources
- Scrapy Docs
- Course Guide
- Course Github
- The Python Scrapy Playbook
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Scrapling is a fast Python web scraping tool that fetches pages, bypasses anti-bot blocks like Cloudflare, and adapts to site changes by auto-finding elements. Use simple CSS/XPath selectors, spiders for big crawls with pause/resume, proxy rotation, and CLI—no code needed sometimes. Install via pip; it's memory-light and beats others in speed. You save time fixing broken scrapers, scrape reliably at scale, cut costs with AI tools, and focus on using data for leads, prices, or research.
https://github.com/D4Vinci/Scrapling