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Zyte Developers Community Newsletter Issue 5: Empowering Developers

Discover the latest news and innovations in the Zyte Developers Community Newsletter Issue 8. Stay updated with our vibrant community.

Himanshi Bhatt · Demand Generation Manager

1 min read ·

Zyte Developers Community Newsletter Issue 5: Empowering Developers

Zyte Developers Community newsletter issue #5

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In this issue:

  • Web scraping for a COVID-19 vaccine
  • Scraping Reddit with Scrapy
  • Easiest way to extract data from Wikipedia
  • Dateparser - Python parser for human-readable dates
  • A sip of BeautifulSoup

Web scraping for a COVID-19 vaccine

Miguel Magalhães was having a hard time finding covid vaccine slots in France. So he built a simple Python script that checked the server for the next available slot, until it finds a vacancy.

Scraping Reddit with Scrapy

This one is a bit long but interesting read. Brendan Ferris uses Scrapy to extract multiple fields like username, title, content link, etc. from posts on old.reddit.com.

Easiest way to extract data from Wikipedia

In this article, Elliot discusses the Wikipedia module in Python which allows you to scrape data from Wikipedia in the easiest way possible.

Dateparser - Python parser for human-readable dates

Dateparser was developed to make date extraction from HTML pages easier. Initially, used by web scraping developers, it was quickly adopted by the wider community and has been used for multiple applications like command-line tools, chatbots, etc. This blog post covers everything you need to know about date parsing.

A sip of BeautifulSoup

This article is for those among us who are just starting to get acquainted to web scraping. Runjot Kaur's introduction to BeautifulSoup is very easy to understand.

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Himanshi Bhatt

Demand Generation Manager

Himanshi's posts center on business use cases for web data — dynamic pricing, competitive intelligence, customer-review analysis, and travel-industry applications — alongside several years of the "Zyte Developers Community Newsletter" and recaps of the annual Web Data Extraction…

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