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Twitter Verstappen Tweet Automation

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For Twitter, this workflow automates the retrieval of new tweets related to "verstappen," capturing key details like likes, tweet content, author, and timestamp. It seamlessly integrates with Airtable to store only the latest tweets, ensuring your database is always up-to-date with relevant information.

Workflow Overview

For Twitter, this workflow automates the retrieval of new tweets related to "verstappen," capturing key details like likes, tweet content, author, and timestamp. It seamlessly integrates with Airtable to store only the latest tweets, ensuring your database is always up-to-date with relevant information.

Target Audience

  • Social Media Managers: Those who need to track mentions of specific topics on Twitter.
  • Data Analysts: Individuals who analyze social media data for insights and trends.
  • Marketing Teams: Teams looking to engage with audiences based on real-time social media interactions.
  • Developers: Programmers who want to automate data collection from Twitter and store it in Airtable.

Problem Solved

This workflow automates the process of searching for new tweets related to a specific topic (like 'verstappen') and storing relevant data in Airtable. It eliminates the need for manual tracking and data entry, ensuring that users can quickly access and analyze new tweets without missing important interactions.

Workflow Steps

  1. Manual Trigger: The workflow starts when the user clicks the 'execute' button.
  2. Twitter Search: The workflow searches Twitter for the latest tweets containing the keyword 'verstappen', retrieving up to 100 tweets.
  3. Fetch Airtable Data: It retrieves existing tweets from an Airtable database to compare against new tweets.
  4. Set Twitter Data: For each new tweet found, the workflow extracts key details such as:
    • Likes
    • Tweet Text
    • Tweet ID
    • Tweet URL
    • Author
    • Time of Tweet
  5. Set Airtable List: The workflow prepares the data from Airtable for comparison, ensuring that it has the same structure as the Twitter data.
  6. Leave Only New Tweets: It filters out tweets that already exist in Airtable, keeping only the new ones.
  7. Append New Tweets to Airtable: Finally, the new tweets are appended to the Airtable database, ensuring that users have the most up-to-date information.

Statistics

7
Nodes
0
Downloads
45
Views
3252
File Size

Quick Info

Categories
Manual Triggered
Data Processing & Analysis
+2
Complexity
medium

Tags

manual
medium
airtable
twitter

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