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Tweets Scraper from twitter in Python Using Selenium Recently Twitter has stopped giving their Apis to everyone, So I write simple Python script using selenium to scrap all the tweets from a user and store into a CSV file

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#Tweets Scraper from twitter in Python Using Selenium Recently Twitter has stopped giving their Apis to everyone, So I write simple Python script using selenium to scrap all the tweets from a user and store into a CSV file

##Extracting Tweets from the #user in twitter


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Bot/Scraper

Tweets Scraper from twitter in Python

Table of Contents

About The Project

Code

Code

Output Data

Output-Data

Built With

Prerequisites

Installation

  1. Clone the repo
git clone https://github.com/si72rose/LinkedIn-Jobs-Scraper.git
  1. Install python packages
pip install Python
pip install selenium
pip install request

Usage

Twitter allows seeing only the recent 300 tweets from any user. In order to access the Url of the user with all the past post follow question and answer in here Stackexchange and search in tweeter search bar copy the URL of the search page and paste into tweet_scraper.py file

Contents

├── README.md
├── Tweet_Scraper.py(Full bot , this file is confidential please contact for more info)
├── data.csv (Sample data)

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

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

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Tweets Scraper from twitter in Python Using Selenium Recently Twitter has stopped giving their Apis to everyone, So I write simple Python script using selenium to scrap all the tweets from a user and store into a CSV file

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