COLLECTED BY

Organization: Archive Team

Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.

The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.

Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.

The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.

Collection: Archive Team: The Github Hitrub

This collection is a set of Github repository archives from two major sets: A panic grab upon the acquisition by Microsoft, and a larger, ongoing set of Pretty Much Everything.

TIMESTAMPS

The Wayback Machine - https://web.archive.org/web/20200913074056/https://github.com/codingforentrepreneurs/Web-Scraping

codingforentrepreneurs / Web-Scraping

Learn how to leverage Python's amazing tools to scrape data from other websites. The end goal of this course is to scrape blogs to analyze trending keywords and phrases. We'll be using Python 3.6, Requests, BeautifulSoup, Asyncio, Pandas, Numpy, and more!

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README.md

Learn how to leverage Python's amazing tools to scrape data from other websites.

The end goal of this course is to scrape blogs to analyze trending keywords and phrases.

We'll be using Python 3.6, Requests, BeautifulSoup, Asyncio, Pandas, Numpy, and more!

Section 1: Your First Scraping Program

Watch here

Final code is first-web-scraping-program.zip

Install Guides

Windows: https://kirr.co/6r8wr9

Mac: https://kirr.co/386c7f

Linux: https://kirr.co/c3uvuu

Goals of Your First Scraping Program:

Enter any url (webpage)
Open and scrape that webpage's words each word
Save that info into a csv

Third party Packages

Python Requests : http://docs.python-requests.org/en/master/
```
pip install requests
```
Basically, it opens the webpage for us in this one.
BeautifulSoup 4 : https://www.crummy.com/software/BeautifulSoup/bs4/doc/
```
pip install beautifulsoup4
```
This allows us to search & extract content from an HTML webpage

Section 2: Advancing Scraping

Goals of Advancing Scraping:

Refine scraping code
Scrape Links
Add Scrape Depth
Scrape & Parse words in a Post

2 - Get URL Input

3 - Regular Expression Validation

4 - Force Quit Program

8 - Extract Data

9 - Parse Links

10 - Get Local Paths

11 - Local Paths by Regular Expression

12 - Some Lookup Errors

13 - Scrape Local Paths

14 - Parse Words

15 - Python Set

16 - A Recursive Function

17 - Mock Fetching

18 - All together

Section 3: Asyncio & Web Scraping

code coming soon

About

Learn how to leverage Python's amazing tools to scrape data from other websites. The end goal of this course is to scrape blogs to analyze trending keywords and phrases. We'll be using Python 3.6, Requests, BeautifulSoup, Asyncio, Pandas, Numpy, and more!

python python3 requests python-requests beautifulsoup beautifulsoup4 scraper web-scraping sraping tutorial joincfe aysncio pandas numpy

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