X (Twitter) Interaction Exporter

Overview

This app allows you to collect detailed information, such as how many people like/retweet the given tweet, and their profiles. Simply provide tweet URLs, and the app will fetch the data and export it as an Excel file for easy analysis.

How to Use

1. Download the app from Octoparse AI app store

2. Launch the app in your list.

   

   1.   Parameter Description

      

      1. tweetUrlList: Enter the tweet URLs you wish to collect data from (one per line)

      2. folderPath: Select the folder where the Excel file will be saved

   2.  Click "Run application"

3. Output

The application will collect data from the specified pages for each keyword and save the results to the designated folder.

• likesCount: The number of likes the tweet has received.

• tweetUrl: The URL of the tweet being queried.

• action: The type of interaction the user had with the tweet (e.g., "RT").

• profileUrl: The URL to the user’s profile who interacted with the tweet.

• screenName: The username (handle) of the user who interacted with the tweet.

• name: The display name of the user who interacted with the tweet.

• description: The bio/description of the user who interacted with the tweet.

• query: The tweet URL entered in the input parameter for the query.

• timestamp: The time when the interaction data was collected.

• rtCount: The number of times the tweet has been retweeted.

Notes

• Do not use the mouse or keyboard while the app is running to avoid interruptions.

• This app only runs in the Chrome browser.

• Log in to Twitter in Chrome before running the app. If you're not logged in, press Ctrl+B to pause the app and log in.

• Please install the following Python packages: requests, pandas, xlsxwriter, numpy, openpyxl.

Troubleshooting

Encounter obstacles but don't know how to resolve them when executing the app?

Please contact our support team at [email protected] to find the way out!

To help us better understand your issue, follow the steps below to export your running logs: