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Python package to scrap twitter's front-end easily with selenium

Project description

Twitter scraper selenium

Python's package to scrap Twitter's front-end easily with selenium.

PyPI license Python >=3.6.9 Maintenance

Table of Contents

Table of Contents
  1. Getting Started
  2. Usage
  3. Privacy
  4. License


Prerequisites

  • Internet Connection
  • Python 3.6+
  • Chrome or Firefox browser installed on your machine

  • Installation

    Installing from the source

    Download the source code or clone it with:

    git clone https://github.com/shaikhsajid1111/twitter-scraper-selenium
    

    Open terminal inside the downloaded folder:


     python3 setup.py install
    

    Installing with PyPI

    pip3 install twitter-scraper-selenium
    

    Usage

    To scrap profile's tweets:

    In JSON format:

    from twitter_scraper_selenium import scrap_profile
    
    microsoft = scrap_profile(twitter_username="microsoft",output_format="json",browser="firefox",tweets_count=10)
    print(microsoft)
    

    Output:

    {
      "1430938749840629773": {
        "tweet_id": "1430938749840629773",
        "username": "Microsoft",
        "name": "Microsoft",
        "profile_picture": "https://twitter.com/Microsoft/photo",
        "replies": 29,
        "retweets": 58,
        "likes": 453,
        "is_retweet": false,
        "retweet_link": "",
        "posted_time": "2021-08-26T17:02:38+00:00",
        "content": "Easy to use and efficient for all \u2013 Windows 11 is committed to an accessible future.\n\nHere's how it empowers everyone to create, connect, and achieve more: https://msft.it/6009X6tbW ",
        "hashtags": [],
        "mentions": [],
        "images": [],
        "videos": [],
        "tweet_url": "https://twitter.com/Microsoft/status/1430938749840629773",
        "link": "https://blogs.windows.com/windowsexperience/2021/07/01/whats-coming-in-windows-11-accessibility/?ocid=FY22_soc_omc_br_tw_Windows_AC"
      },...
    }
    

    In CSV format:

    from twitter_scraper_selenium import scrap_profile
    
    
    scrap_profile(twitter_username="microsoft",output_format="csv",browser="firefox",tweets_count=10,filename="microsoft",directory="/home/user/Downloads")
    

    Output:

    tweet_id username name profile_picture replies retweets likes is_retweet retweet_link posted_time content hashtags mentions images videos post_url link
    1430938749840629773 Microsoft Microsoft https://twitter.com/Microsoft/photo 64 75 521 False 2021-08-26T17:02:38+00:00 Easy to use and efficient for all – Windows 11 is committed to an accessible future.

    Here's how it empowers everyone to create, connect, and achieve more: https://msft.it/6009X6tbW
    [] [] [] [] https://twitter.com/Microsoft/status/1430938749840629773 https://blogs.windows.com/windowsexperience/2021/07/01/whats-coming-in-windows-11-accessibility/?ocid=FY22_soc_omc_br_tw_Windows_AC

    ...



    scrap_profile() arguments:

    Argument Argument Type Description
    twitter_username String Twitter username of the account
    browser String Which browser to use for scraping?, Only 2 are supported Chrome and Firefox. Default is set to Firefox
    proxy String Optional parameter, if user wants to use proxy for scraping. If the proxy is authenticated proxy then the proxy format is username:password@host:port.
    tweets_count Integer Number of posts to scrap. Default is 10.
    output_format String The output format, whether JSON or CSV. Default is JSON.
    filename String If output parameter is set to CSV, then it is necessary for filename parameter to passed. If not passed then the filename will be same as username passed.
    directory String If output_format parameter is set to CSV, then it is valid for directory parameter to be passed. If not passed then CSV file will be saved in current working directory.
    headless Boolean Whether to run crawler headlessly?. Default is True
    browser_profile String Path to the browser profile where cookies are stored and can be used for scraping data in an authenticated way.


    Keys of the output

    Key Type Description
    tweet_id String Post Identifier(integer casted inside string)
    username String Username of the profile
    name String Name of the profile
    profile_picture String Profile Picture link
    replies Integer Number of replies of tweet
    retweets Integer Number of retweets of tweet
    likes Integer Number of likes of tweet
    is_retweet boolean Is the tweet a retweet?
    retweet_link String If it is retweet, then the retweet link else it'll be empty string
    posted_time String Time when tweet was posted in ISO 8601 format
    content String content of tweet as text
    hashtags Array Hashtags presents in tweet, if they're present in tweet
    mentions Array Mentions presents in tweet, if they're present in tweet
    images Array Images links, if they're present in tweet
    videos Array Videos links, if they're present in tweet
    tweet_url String URL of the tweet
    link String If any link is present inside tweet for some external website.


    To scrap tweets using keywords:

    In JSON format:

    from twitter_scraper_selenium import scrap_keyword
    #scrap 10 posts by searching keyword "india" from date 30th August till date 31st August
    india = scrap_keyword(keyword="india", browser="firefox",
                          tweets_count=10,output_format="json" ,until="2021-08-31", since="2021-08-30")
    print(india)
    

    Output:

    {
      "1432493306152243200": {
        "tweet_id": "1432493306152243200",
        "username": "TOICitiesNews",
        "name": "TOI Cities",
        "profile_picture": "https://twitter.com/TOICitiesNews/photo",
        "replies": 0,
        "retweets": 0,
        "likes": 0,
        "is_retweet": false,
        "posted_time": "2021-08-30T23:59:53+00:00",
        "content": "Paralympians rake in medals, India Inc showers them with rewards",
        "hashtags": [],
        "mentions": [],
        "images": [],
        "videos": [],
        "tweet_url": "https://twitter.com/TOICitiesNews/status/1432493306152243200",
        "link": "https://t.co/odmappLovL?amp=1"
      },...
    }
    


    In CSV format:

    from twitter_scraper_selenium import scrap_keyword
    
    scrap_keyword(keyword="india", browser="firefox",
                          tweets_count=10, until="2021-08-31", since="2021-08-30",output_format="csv",filename="india")
    

    Output:
    tweet_id username name profile_picture replies retweets likes is_retweet posted_time content hashtags mentions images videos tweet_url link
    1432493306152243200 TOICitiesNews TOI Cities https://twitter.com/TOICitiesNews/photo 0 0 0 False 2021-08-30T23:59:53+00:00 Paralympians rake in medals, India Inc showers them with rewards [] [] [] [] https://twitter.com/TOICitiesNews/status/1432493306152243200 https://t.co/odmappLovL?amp=1

    ...



    scrap_keyword() arguments:

    Argument Argument Type Description
    keyword String Keyword to search on twitter.
    browser String Which browser to use for scraping?, Only 2 are supported Chrome and Firefox,default is set to Firefox.
    until String Optional parameter, Until date for scraping, a end date from where search ends. Format for date is YYYY-MM-DD.
    since String Optional parameter, Since date for scraping, a past date from where to search from. Format for date is YYYY-MM-DD.
    proxy Integer Optional parameter, if user wants to use proxy for scraping. If the proxy is authenticated proxy then the proxy format is username:password@host:port
    tweets_count Integer Number of posts to scrap. Default is 10.
    output_format String The output format, whether JSON or CSV. Default is JSON.
    filename String If output parameter is set to CSV, then it is necessary for filename parameter to passed. If not passed then the filename will be same as keyword passed.
    directory String If output parameter is set to CSV, then it is valid for directory parameter to be passed. If not passed then CSV file will be saved in current working directory.
    since_id Integer After (NOT inclusive) a specified Snowflake ID. Example here
    max_id Integer At or before (inclusive) a specified Snowflake ID. Example here
    within_time String Search within the last number of days, hours, minutes, or seconds. Example 2d, 3h, 5m, 30s.
    headless Boolean Whether to run crawler headlessly?. Default is True
    browser_profile String Path to the browser profile where cookies are stored and can be used for scraping data in an authenticated way.

    Keys of the output

    Key Type Description
    tweet_id String Post Identifier(integer casted inside string)
    username String Username of the profile
    name String Name of the profile
    profile_picture String Profile Picture link
    replies Integer Number of replies of tweet
    retweets Integer Number of retweets of tweet
    likes Integer Number of likes of tweet
    is_retweet boolean Is the tweet a retweet?
    posted_time String Time when tweet was posted in ISO 8601 format
    content String content of tweet as text
    hashtags Array Hashtags presents in tweet, if they're present in tweet
    mentions Array Mentions presents in tweet, if they're present in tweet
    images Array Images links, if they're present in tweet
    videos Array Videos links, if they're present in tweet
    tweet_url String URL of the tweet
    link String If any link is present inside tweet for some external website.


    To scrap topic tweets with url:

    from twitter_scraper_selenium import scrap_topic
    # scrap 10 tweets from steam deck topic on twitter
    data = scrap_topic(filename="steamdeck", url='https://twitter.com/i/topics/1415728297065861123',
                         browser="firefox", tweets_count=10)
    

    Output and key of the output is the same as scrap_keyword:

    scrap_topic() arguments:

    Arguments Argument
    Type
    Description
    filename str Filename to write result output.
    url str Topic url.
    browser str Which browser to use for scraping?
    Only 2 are supported Chrome and Firefox. default firefox
    proxy str If user wants to use proxy for scraping.
    If the proxy is authenticated proxy then the proxy format is username:password@host:port
    tweets_count int Number of posts to scrap. default 10.
    output_format str The output format whether JSON or CSV. Default json.
    directory str Directory to save output file. Deafult current working directory.
    browser_profile str Path to the browser profile where cookies are stored and can be used for scraping data in an authenticated way.

    Using scraper with proxy (http proxy)

    Just pass proxy argument to function.

    from twitter_scraper_selenium import scrap_keyword
    
    scrap_keyword(keyword="#india", browser="firefox",tweets_count=10,output="csv",filename="india",
    proxy="66.115.38.247:5678") #In IP:PORT format
    

    Proxy that requires authentication:

    from twitter_scraper_selenium import scrap_profile
    
    microsoft_data = scrap_profile(twitter_username="microsoft", browser="chrome", tweets_count=10, output="json",
                          proxy="sajid:pass123@66.115.38.247:5678")  #  username:password@IP:PORT
    print(microsoft_data)
    


    Privacy

    This scraper only scrapes public data available to unauthenticated user and does not holds the capability to scrap anything private.



    LICENSE

    MIT

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