How to get TWEETS by Python | Twitter API 2022

AI Spectrum
13 Dec 202117:03
EducationalLearning
32 Likes 10 Comments

TLDRThis video tutorial walks through the process of using Python to access Twitter's API. It covers creating a developer account, fetching data, and saving it as a CSV file. The video explains how to obtain API keys and tokens, set up app permissions, and use the Tweepy library for data extraction. It also demonstrates how to authenticate with Twitter, retrieve public tweets, and utilize Pandas to save the tweet data into a CSV file for further analysis.

Takeaways
  • 📈 Start by creating a developer account on developer.twitter.com.
  • 🔍 Ensure you are logged in to your Twitter account before proceeding.
  • 📝 Provide necessary details such as name, country, and purpose for API access during sign-up.
  • 🔑 Generate an app to obtain API keys, which should be kept secret for security.
  • 🔄 Obtain access tokens and secret keys for further API access.
  • 📋 Save your API keys and tokens in a config file for safekeeping and easy access.
  • 🛠 Use the Tweepy library in Python to interact with the Twitter API.
  • 📚 Install necessary Python libraries like config parser and pandas for handling the data.
  • 🔍 Authenticate your app with the Twitter API using the credentials from the config file.
  • 📊 Fetch tweets from your timeline using the Tweepy library.
  • 💾 Save the fetched tweet data into a CSV file using pandas for future analysis or use.
Q & A

  • What is the first step to access Twitter API?

    -The first step to access the Twitter API is to create a developer account by visiting the developer.twitter.com website.

  • How do you sign up for a developer account on Twitter?

    -To sign up for a developer account, you need to log in to your Twitter account, navigate to the developer website, and hit the sign up button. You'll then provide your account confirmation, email address, name, and country, and select the reason for API access.

  • What information do you need to provide when applying for a Twitter developer account?

    -When applying for a Twitter developer account, you need to provide your name, country, the purpose of API access (e.g., as a teacher, researcher), and confirm that you will not share the data with any government or request updates.

  • What are the keys you get after creating a Twitter app?

    -After creating a Twitter app, you get an API key, an API key secret, and a token, which are necessary for accessing the Twitter API.

  • Why is it important to keep the Twitter API keys secret?

    -It's important to keep the Twitter API keys secret because if they are lost or accessed by others, you may lose access to the API, and someone else could potentially misuse your Twitter account.

  • How do you generate access token and secret keys for a Twitter app?

    -You can generate access token and secret keys by navigating to the 'Keys and Tokens' tab in your Twitter app settings and clicking on 'Create' or 'Generate'.

  • What permissions does your app have initially after setting up?

    -Initially, your app has read and write permissions, which allow you to access some basic features of the Twitter API.

  • What is the process to get elevated access to the Twitter API?

    -To get elevated access, you need to apply for an elevated account by providing details about why you need the access, how you will use the data, and other required information. Your application will be reviewed by a person at Twitter.

  • Which Python library is used to access the Twitter API in the script?

    -The script uses the Tweepy library to access the Twitter API.

  • How do you install the required Python libraries for accessing Twitter API?

    -You can install the required Python libraries using pip commands in the terminal, such as `pip install tweepy`, `pip install configparser`, and `pip install pandas`.

  • What is the purpose of creating a config file in the script?

    -The purpose of creating a config file is to securely store sensitive information like API keys and access tokens, so you don't have to share these details when sharing your main Python file with others.

  • How do you save tweets from the Twitter API into a CSV file?

    -You can save tweets into a CSV file using the pandas library by creating a DataFrame with the tweet data and then using the `to_csv` method to save it with a specified filename.

Outlines
00:00
📝 Setting Up a Twitter Developer Account

This paragraph outlines the process of creating a Twitter developer account to access the Twitter API. It begins with navigating to the Twitter developer website and signing up with an existing Twitter account. The user must provide personal information, select a country, and declare their purpose for using the API, choosing 'teacher' as an example. The paragraph details the agreement terms, app creation, and the importance of keeping API keys secret. It also explains how to generate access tokens and the limitations of an 'essential' project access, which can be upgraded to 'elevated' access by applying and providing detailed usage intentions.

05:04
🛠️ Installing Python Libraries and Config File Setup

The second paragraph focuses on installing necessary Python libraries for interacting with the Twitter API, including Tweepy, ConfigParser, and Pandas. It emphasizes the safety of using a config file to store sensitive API keys and secrets, preventing them from being exposed when sharing code. The process of creating a config file with the required credentials is described, and the setup of a Python script to read these credentials is outlined.

10:04
🔑 Authenticating with Twitter API and Fetching Tweets

This section details the authentication process with the Twitter API using Tweepy, including creating an authentication handler with the API keys and access tokens. It explains how to create an API instance to access Twitter account data, specifically focusing on retrieving public tweets from the user's timeline. The paragraph also covers how to handle JSON data from the API and how to display individual tweets or iterate through all of them.

15:06
💾 Saving Tweets to a CSV File with Pandas

The final paragraph discusses the process of saving the fetched tweets into a CSV file using the Pandas library. It explains how to extract relevant tweet information such as the time of posting, the user who tweeted, and the tweet text itself. The paragraph outlines the creation of a DataFrame with these details and the subsequent conversion of the list of tweets into a structured format. The culmination of the process is saving this DataFrame to a CSV file, allowing for further analysis or use of the tweet data.

Mindmap
Keywords
💡Twitter API
Twitter API (Application Programming Interface) is a set of rules and protocols that allows developers to access Twitter's data such as tweets, user information, and more. In the video, the main theme revolves around using the Twitter API to fetch data, which is central to the process of obtaining tweets and saving them into a CSV file.
💡Developer Account
A developer account on a platform like Twitter is a specialized account that grants access to the platform's API, enabling developers to build apps and services that interact with the platform's data. In the context of the video, the creator guides viewers through the process of signing up for a Twitter developer account to access the Twitter API.
💡CSV File
A CSV (Comma-Separated Values) file is a simple file format used to store tabular data, where each line represents a row and commas separate each field. In the video, the ultimate goal is to save the fetched Twitter data into a CSV file for further analysis or use, leveraging libraries like pandas for the conversion.
💡API Keys
API keys are unique identifiers used to authenticate an application with an API. They act as a password that allows the application to access the API's resources. In the video, the creator obtains API keys, including the API key, API key secret, and access tokens, which are crucial for accessing the Twitter API and fetching data.
💡tweepy Library
tweepy is a Python library that provides a convenient interface for accessing the Twitter API. It simplifies the process of sending HTTP requests to the Twitter server and processing the responses. The video demonstrates how to use tweepy to authenticate with Twitter and fetch tweets from the user's timeline.
💡Authentication
Authentication is the process of verifying the identity of a user or application. In the context of the video, the creator authenticates their app with the Twitter API using the obtained API keys and access tokens to ensure that they have the correct permissions to fetch and manipulate data.
💡Config File
A config file is a type of file used to store configuration settings for applications. In the video, the creator uses a config file to securely store sensitive information like API keys and access tokens, which helps in keeping the credentials safe and avoiding the need to expose them in the main code file.
💡Elevated Access
Elevated access refers to a higher level of permissions granted to a developer account on platforms like Twitter. This is necessary for accessing more advanced features and data that are not available with basic API access. In the video, the creator applies for elevated access to gain more capabilities with the Twitter API.
💡Pandas Library
Pandas is an open-source Python data analysis library that provides data structures and functions needed to manipulate and analyze data. In the video, pandas is used to create a DataFrame from the fetched tweet data and then save it into a CSV file for easy storage and later use.
💡Data Frame
A DataFrame is a two-dimensional, size-mutable, and potentially heterogeneous tabular data structure with labeled axes (rows and columns) in pandas. In the video, the creator uses a DataFrame to organize the tweet data into a structured format before saving it as a CSV file.
Highlights

Introduction to using Python to access Twitter API data.

Creating a developer account on the Twitter Developer website.

Fetching data from Twitter API and saving it into a CSV file.

The importance of logging in to your Twitter account before signing up for developer access.

Choosing the right category for API access, such as 'Teacher' for educational purposes.

Understanding the agreement terms for using the Twitter API.

Creating an app and obtaining the necessary keys for API access.

The necessity of keeping API keys secret for security reasons.

Skipping to the dashboard for further app setup.

Generating access token and secret keys for elevated API access.

Applying for an elevated account for better API access features.

Filling out the application form carefully as it will be reviewed by a person.

Waiting for the application to be accepted, which may take several days.

Using the Tweepy library in Python to access the Twitter API.

Installing necessary Python libraries like Tweepy, ConfigParser, and Pandas.

Creating a config file to safely store API keys and tokens.

Authenticating the app with the Twitter API using the obtained credentials.

Accessing and printing public tweets from the Twitter API.

Saving tweet data into a CSV file using Pandas for later use.

Transcripts

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