A Reddit Data Analysis Toolkit.

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  • License: MIT License (MIT)
  • Author: Richard Mwewa
  • Tags reddit-crawler, reddit-scraping, reddit, reddit-api, reddit-data
  • Requires: Python >=3.10, <4.0
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Project description

knewkarma

A Reddit Data Analysis Toolkit.

.Net Python Docker PyPI - Version BuyMeACoffee

Features

  • Has got both a Command-Line and Graphical User Interface instance.
  • Dark mode (GUI)
  • Saves results to either a JSON or CSV file.
  • Gets Posts, Comments and Profile data of a specified User.
  • Gets Posts and Profile data of a specified of a Subreddit.
  • Returns Posts from Reddit's front page.
  • Returns Posts from a specified listing.
  • Searches for posts matching a given query form all over Reddit.

Documentation

Refer to the Wiki for Installation, Usage and Uninstallation instructions.

me

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for knewkarma.io from gravatar.com knewkarma.io Avatar for rly0nheart from gravatar.com rly0nheart

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Richard Mwewa
  • Tags reddit-crawler, reddit-scraping, reddit, reddit-api, reddit-data
  • Requires: Python >=3.10, <4.0
Classifiers

Release history Release notifications | RSS feed

7.1.4

7.1.3

7.1.2

7.1.1

7.1.0

7.0.13

7.0.12

7.0.11

7.0.10

7.0.9

7.0.8

7.0.7

7.0.6

7.0.5

7.0.2

7.0.1

6.1.6

6.1.5

6.1.4

6.1.3

6.1.2

6.1.1

6.1.0

6.0.4

6.0.3

6.0.2

6.0.1

6.0.0

5.4.0

5.3.15

5.3.14

5.3.13

5.3.12

5.3.11

5.3.10

5.3.9

5.3.8

5.3.7

5.3.6

5.3.5

5.3.4

5.3.3

5.3.2

5.3.1

5.3.0

5.2.0

5.1.1

5.1.0

5.0.0

4.2.4

4.2.3

4.2.2

4.2.1

4.2.0

4.1.0

4.0.0

3.5.1.0

3.5.0.0

3.4.0.0

3.3.0.0

3.2.0.0

3.1.0.0

3.0.0.0

2.4.2.0

2.4.1.0

2.4.0.0

2.3.1.0

2.3.0.0

2.2.0.0

2.1.0.0

2.0.0.0

2.0.0.0b1 pre-release

1.6.0.0

This version

1.5.2.0

1.5.1.0

1.5.0.0

1.4.1.0

1.4.0.0

1.3.0.0

1.2.0.0

1.1.0.0

1.0.0.0

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knewkarma-1.5.2.0-py3-none-any.whl (94.8 kB view hashes)

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