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A webmining CLI tool & library for python.

Project description

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A webmining CLI tool & library for python.

Minet features:

  • Multithreaded HTML fetching
  • Multiprocessing text content extraction
  • Facebook's share count fetching
  • Custom scraping script?


minet can be installed using pip:

pip install minet

You can also create a Minet executable.



Handy command to fetch the HTML content of every url provided in a potentially huge given csv. Works in a multithreaded & lazy way (the csv is not loaded into memory), and starts where it stopped at last execution.

minet fetch COLUMN FILE

Additional options:

  • -s STORAGE_LOCATION specifies the location where the (temporary) HTML files are stored. Is ./data by default.
  • -id COLUMN_NAME : name of the url ID column, if present in the csv FILE. Used for the name of the HTML files. If not specified, UUIDs are generated.
  • --monitoring_file FILE_NAME : location of the monitoring file used to save progress. Is ./data/monitoring.csv by default.



Imagine you have a urls.csv file containing urls - in a column called 'urls' - you want to extract data from. Just use this command:

minet fetch url urls.csv

That's it, your HTML files are stored in ./data/htmlfiles, ready for text content extraction for instance.


Quickly fetches the (rounded*) Facebook share count of each url in a given csv, without the need of an API nor access token (and thus no rate limitation). Works in a multithreaded & lazy way (the csv is not loaded into memory).

The share count of a url is the sum of :

  • the number of likes of the url
  • the number of shares of the url
  • the number of likes & comments on stories about this url
minet facebook COLUMN FILE

Additional options:

  • -o OUTPUT specifies the location of the output csv (being the source csv FILE with an additional facebook_share_count column). Is stdout by default.



Let's say you have a urls.csv file with - in a 'url' column - the urls you want the share count of.

Just use this command:

minet facebook url urls.csv -o urls_with_fb_data.csv

As a result, you get a urls_with_fb_data.csv file with a facebook_share_count column.

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