Scrapera provides access to a variety of scraper scripts for most commonly used machine learning and data science domains. Currently, Scrapera supports the following crawlers:

DISCLAIMER: Owner or Contributors do not take any responsibility for misuse of data obtained through Scrapera. Contact the owner if copyright terms are violated due to any module provided by Scrapera.

Prerequisites can be installed separately through the requirements.txt file as below

pip install -r requirements.txt

Apart from this, some modules specifically require Chromedriver. Check for a compatible chromedriver and download it from the official site

Scrapera is built with Python 3 and can be pip installed directly

pip install scrapera

Alternatively, if you wish to install the latest version directly through GitHub then run

pip install git+https://github.com/DarshanDeshpande/Scrapera.git

To use any sub-module, you just need to import, instantiate and execute

from scrapera.video.vimeo import VimeoScraper
scraper = VimeoScraper()
scraper.scrape('https://vimeo.com/191955190', '540p')

For more examples, please refer to the individual test folders in respective modules

• Instagram Comments Scraper needs updation due to recent GraphQL implementation changes

Scrapera welcomes any and all contributions and scraper requests. Please raise an issue if the scraper fails at any instance. Feel free to fork the repository and add your own scrapers to help the community!
For more guidelines, refer to CONTRIBUTING

Distributed under the MIT License. See LICENSE for more information.

Feel free to reach out for any issues or requests related to Scrapera

Darshan Deshpande (Owner) - Email | LinkedIn

• PyTube