VK-Scraper 2.0.3

Scrapes VK user's photos

VK Scraper

vk-scraper is a command-line application written in Python that scrapes and downloads VK user's / community's data. Use responsibly.

To get a closer look at how it works, read the docs.

Inspired by instagram-scraper.

Features

• Scrape user's photos
• Scrape user's videos (both uploaded and external)
• Scrape user's saved photos
• Scrape user's stories

Install

Arch GNU/Linux

For the stable version:

$ trizen -S vk-scraper

For the git version:

$ trizen -S vk-scraper-git

Other distros

For the stable version:

$ pip3 install vk-scraper --upgrade --user

For the git version:

$ pip3 install git+https://github.com/vanyasem/VK-Scraper.git --upgrade --user

Usage

To scrape user's media:

vk-scraper <username> -u <your username> -p <your password>

By default, downloaded media will be placed in <current working directory>/<username>.

To specify multiple users, pass a delimited list of users:

vk-scraper username1,username2,username3

You can also supply a file containing a list of usernames:

vk-scraper -f vk_users.txt

# vk_users.txt

username1
username2
username3

# and so on...

Usernames may be separated by newlines, commas, semicolons, or whitespace.

Arguments

--help -h             Show help message and exit

--login-user  -u      VK username

--login-pass  -p      VK password

--filename    -f      Path to a file containing a list of users / communities to scrape

--destination -d      Specify the download destination. By default, media will
                      be downloaded to <current working directory>/<username>

--retain-username -n  Creates a username subdirectory when the destination flag is set

--media-types -t      Specify media types to scrape. Enter as space separated values.
                      Valid values are image, saved, video, story, or none
                      (defaults to image)

--latest              Scrape only new media since the last scrape. Uses the last modified
                      time of the latest media item in the destination directory to compare

--quiet       -q      Be quiet while scraping

--maximum     -m      Maximum number of items to scrape

Contributing

1. Check open issues or open a new one to start a discussion around your idea or a bug you found
2. Fork the repository and make your changes
3. Send a pull request

Futurelog

• Scrape by hashtag
• Scrape by location
• Save metadata to a file (likes, comments, etc)
• Sort photos by their albums