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scrapper-script

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Your will to enroll in Udemy course is here, but the money isn't? Search no more! This python program searches for your desired course in more than [insert big number here] websites, compares the last updated date, and gives you the download link of the latest one back, but you also have the choice to see the other ones as well!

  • Updated Apr 29, 2021
  • Python
xBioDreadx
xBioDreadx commented Oct 31, 2019

Hi, im currently parse website that require authentication for access to some content.
So I log in with browser, copy all created cookies and add them with each parse request.

    void editRequest(BoundRequestBuilder req, * *, * *) {
        cookieService.cookies.each { req.addCookie(it) }
    }

That works like a charm until website change cookies in response - short after this my c

This repo contains a scrapper for the Gutenberg's project website which contains 56,019 books free to read and download. In this repo also, you can find text file containing all the book data until April 2018 containing only the 'id', 'title' and 'authors' for every book in the dataset.

  • Updated Apr 30, 2018
  • Python

Hello pals, this the telegram group member adder tool written in python. How it works? you have to get you api_id and api_hash from https://my.telegram.org here! Basically it scrapes meber from group where the logined id is admin and it creates a .csv file. And the adder reads .csv file and add member to the target group. ther SendMessages tool send the setted messges to the members .csv file which are scraped!

  • Updated Jan 19, 2021
  • Python

The main aim of the project is to scrap reviews from a website for American cuisine restaurants in NYC. Then from the scrapped reviews, it would extract the context and calculate the accuracy for each context. (Contexts considered are: Whom, When, Where, and Occasion) - 'Whom' denotes, with whom the user went to the restaurant (example: friends, family, etc.) - 'When' denotes, for which part of the day the user dined in (example: lunch, dinner, etc.) - 'Where' denotes, whether the user is local or tourist - 'Occasion' denotes, for which particular occasion the user visited (example: birthday, wedding anniversary, etc.)

  • Updated Jan 7, 2018
  • Python

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