Twitter Thread Export

Step By Step Guide

The Twitter Thread Export automation helps founders, marketers, sales managers, and growth hackers extract and organize data from Twitter threads efficiently. With support for Google Sheets and CSV export, this tool simplifies tracking insights from threads and is perfect for analysis, reporting, and collaboration. It also includes scheduling, iteration delay, and flexible execution options.

Follow these steps to configure and run the Twitter Thread Export automation.\

Step 1: Connect to Twitter with TexAu

Log in to your TexAu account at v2-prod.texau.com. Connect your Twitter account. Click Add Account and select Twitter. Choose one of these secure connection methods:

Click Add Account and select Twitter

1. Use one of two connection methods:
   • Share via Magic Link: A secure and fast way to connect your Twitter account by receiving a login link in your email.
   • Add Account via Extension: Log in through TexAu’s built-in browser extension for a manual setup.

Tip: Use Magic Link for a quicker and more secure connection.

Step 2: Log in to the TexAu App and Locate the Automation

Navigate to the Automation Store, search for Twitter Thread Export, and click the automation to open its configuration page

Step 3: Choose Cloud or Desktop Automation

Select your preferred execution mode for the automation:

• Cloud:  Automate tasks on TexAu’s servers using built-in proxies. Add a custom proxy anytime via Settings > Preferences > Proxies.
• Desktop: Run the automation on your local device using your IP address to simulate manual posting.
  Tip: Running the automation in Desktop mode saves cloud runtime credits and provides more control over execution.

Step 4: Select Your Input Source

TexAu offers an efficient way to extract entire Twitter threads, allowing users to analyze content, engagement, and trends.

Single Input

Use this option to extract a single thread from a specific tweet.

• Account: Select the Twitter account from which the thread will be extracted.
• Post URL: Provide the URL of the tweet that starts the thread.
• Extract Limit (Optional): Define the maximum number of tweets to extract per launch, with a limit of up to 1,000 tweets.

Google Sheets

Use this option to extract threads for multiple tweets stored in a Google Sheet.

1. Connect your Google account
   • Click Select Google Account to choose your connected account or add a new one using Add New Google Sheet Account.
2. Select your spreadsheet
   • Click Open Google Drive to locate the Google Sheet containing tweet URLs.
   • Choose the spreadsheet and the specific sheet where your data is stored.
3. Adjust processing options
   • Number of Rows to Process (Optional): Specify the number of rows of data to process.
   • Number of Rows to Skip (Optional): Skip specific rows if needed.
4. Provide input details
   • Post URL: Ensure the sheet column contains valid tweet URLs.
   • Extract Limit (Optional): Define the maximum number of tweets to extract per thread, with a limit of 1,000 tweets.
5. Enable Loop Mode (Optional)
   • Turn on Loop Mode to reprocess the Google Sheet from the start once all rows are completed.

Process a CSV File

This option enables extraction from a static list of tweet URLs stored in a CSV file.

• Upload the file
  • Click Upload CSV File and select the file containing tweet URLs.
  • TexAu will preview the content for verification.
• Adjust processing settings
  • Number of Rows to Process (Optional): Define the number of rows to process.
  • Number of Rows to Skip (Optional): Specify rows to skip if necessary.
• Provide input details
  • Post URL: Ensure the correct column in the CSV contains valid tweet URLs.
  • Extract Limit (Optional): Define the maximum number of tweets to extract per thread, with a limit of 1,000 tweets.

Tip: Use Google Sheets for dynamic or frequently updated lists and CSV files for static data.

Step 5: Schedule the Automation (Optional)

Use TexAu’s scheduling feature to extract Twitter thread data at specific intervals:

1. Click Schedule and set the start date and time for the automation.
2. Choose a Recurrence Frequency to define when and how often the automation runs:
   • None: Run the export process immediately.
   • At Regular Intervals: Specify intervals such as every 6 hours or daily.
   • Every Day: Automatically extract data once daily.
   • On Specific Days of the Week: Select specific days like Monday and Thursday.
   • On Specific Dates: Schedule runs for particular calendar dates, like the 1st or 15th.

Scheduling ensures you capture thread data consistently, especially for monitoring live or time-sensitive campaigns.

Step 6: Set an Iteration Delay (Optional)

Avoid detection and simulate human-like activity by setting an iteration delay. Choose minimum and maximum time intervals to add randomness between actions. This makes your activity look natural and reduces the chance of being flagged.

• Minimum Delay: Enter the shortest interval (e.g., 10 seconds).
• Maximum Delay: Enter the longest interval (e.g., 20 seconds).

Tip: Random delays keep your automation safe and reliable.

Step 7: Choose Your Output Mode (Optional)

Choose how to save and manage the extracted alumni data. TexAu provides the following options:

• Append (Default): Adds new results to the end of existing data, merging them into a single CSV file.
• Split: Saves new results as separate CSV files for each automation run.
• Overwrite: Replaces previous data with the latest results.
• Duplicate Management: Enable Deduplicate (Default) to remove duplicate rows.

Tip: Google Sheets is ideal for teams working collaboratively and needing real-time data access.

Step 8: Access the Data from the Data Store

After the automation completes, review and download the exported data from TexAu’s Data Store:

1. Navigate to the Data Store section in the app.

2. Locate the Twitter Thread Export automation in the list.

3. Click See Data to view or download details like thread content, engagement metrics, and timestamps.

   

The Twitter Thread Export automation simplifies the process of gathering and organizing Twitter thread data, allowing users to analyze engagement, monitor campaigns, and gain insights. With robust features like input customization, scheduling, and seamless data export, this tool is essential for data-driven marketers and growth-focused professionals.