Summary of Scrape Users Tweets | Data with Python Tweepy | Tweepy Tutorial

00:00:00 - 00:30:00

This video demonstrates how to scrape Twitter data using the Python library Tweepy. It shows how to get name, followers, and count for each user, as well as the date and time of each tweet. The program then prints out the data.

• 00:00:00 In this tutorial, a developer account is created, and then an app is created. The access token for the developer account is used to authenticate. The user information is retrieved and displayed. The rate limit is set to 500,000 tweets per hour. If the rate limit is reached, a message is printed.
• 00:05:00 In this video, the author demonstrates how to access user information using the Tweepy Python library. First, they create an API object that allows them to query various user information variables. Next, they use the get user method to access the user information. Finally, they print the data retrieved to see how it looks.
• 00:10:00 The video explains how to get data from Twitter using the Tweepy library. Tweepy allows you to access user information, including followers, bio, and tweets.
• 00:15:00 The video shows how to scrape Twitter data using the Python tweepy library. The user first creates a tweets dictionary, which stores information about each tweet including its ID, date and time of posting, and full text. Next, they create a list of tweets and append the dictionary to it. Finally, they create a JSON file containing the data.
• 00:20:00 In this video, the presenter shows how to use the Python library Tweepy to collect data from Twitter users. First, they create a user.json file that contains user information, including the user's Twitter ID and date and time of the tweet. Next, they create a comma-separated file that contains a list of tweets, as well as a json.dumb file that stores the data in a more simplified format. Finally, they check to see if there are any errors in the data and make any necessary adjustments.
• 00:25:00 The video demonstrates how to scrape Twitter data using Python and Tweepy. It shows how to get name, followers, and count for each user, as well as the date and time of each tweet. The program then prints out the data.
• 00:30:00 In this video, a Python script is used to scrape Twitter users' tweets and store the data in a dictionary. The script is then run again, and the data is properly saved.