Skip to content

Latest commit

 

History

History
147 lines (102 loc) · 4.39 KB

README.md

File metadata and controls

147 lines (102 loc) · 4.39 KB
Raw

crau: Easy-to-use Web Archiver

crau is the way (most) Brazilians pronounce crawl, it's the easiest command-line tool for archiving the Web and playing archives: you just need a list of URLs.

Installation

pip install crau

Running

Archiving

Archive a list of URLs by passing them via command-line:

crau archive myarchive.warc.gz http://example.com/page-1 http://example.org/page-2 ... http://example.net/page-N

or passing a text file (one URL per line):

echo "http://example.com/page-1" > urls.txt
echo "http://example.org/page-2" >> urls.txt
echo "http://example.net/page-N" >> urls.txt

crau archive myarchive.warc.gz -i urls.txt

Run crau archive --help for more options.

Extracting data from an archive

List archived URLs in a WARC file:

crau list myarchive.warc.gz

Extract a file from an archive:

crau extract myarchive.warc.gz https://example.com/page.html extracted-page.html

Playing the archived data on your Web browser

Run a server on localhost:8080 to play your archive:

crau play myarchive.warc.gz

Packing downloaded files into a WARC

If you've mirrored a website using wget -r, httrack or a similiar tool in which you have the files in your file system, you can use crau to create a WARC file based on this. Run:

crau pack [--inner-directory=path] <start-url> <path-or-archive> <warc-filename>

Where:

  • start-url: base URL you've downloaded (this will be joined with the actual file names to create the complete URL).
  • path-or-archive: path where the files are located. Can also be a .tar.gz, .tar.bz2, .tar.xz or .zip archive. crau will retrieve all files recursively.
  • warc-filename: file to be created.
  • --inner-directory: used when a TAR/ZIP archive is passed to filter which directory inside the archive will be used to retrieve files. Example: you have an archive with a backup/ directory on the root and a www.example.com/ inside of it, so the files are actually inside backup/www.example.com/ - just pass --inner-directory=backup/www.example.com/ and only the files inside this path will be considered (in this example, the file backup/www.example.com/contact.html will be archived as <start-url>/contact.html).

Why not X?

There are other archiving tools, of course. The motivation to start this project was a lack of easy, fast and robust software to archive URLs - I just wanted to execute one command without thinking and get a WARC file. Depending on your problem, crau may not be the best answer - check out more archiving tools in awesome-web-archiving.

Why not GNU Wget?

  • Lacks parallel downloading;
  • Some versions just crashes with segmentation fault depending on the website;
  • Lots of options make the task of archiving difficult;
  • There's no easy way to extend its behavior.

Why not Wpull?

  • Lots of options make the task of archiving difficult;
  • Easiest to extend than wget, but still difficult comparing to crau (since crau uses scrapy).

Why not crawl?

  • Lacks some features and it's difficult to contribute to (the Gitlab instance where it's hosted doesn't allow registration);
  • Has some bugs regarding to collecting page dependencies (like static assets inside a CSS file);
  • Has a bug where it enters in a loop (if a static asset returns a HTML page instead of the expected file it ignores depth and keep trying to get this page's dependencies - if any of the latter dependencies also has the same problem it keeps going on infinite depth).

Why not archivenow?

This tool can be used easily to use archiving services such as archive.is via command-line and can also, but when archiving it calls wget to do the job.

Contributing

Clone the repository:

git clone https://github.com/turicas/crau.git

Install development dependencies (you may want to create a virtualenv):

cd crau && pip install -r requirements-development.txt

Install an editable version of the package:

pip install -e .

Modify everything you want to, commit to another branch and then create a pull request at GitHub.