Twitter Retweet List Extractor
The Twitter Retweet List Extractor automation gathers detailed information about users who retweeted a specific tweet, including handles, bios, and follower counts. Perfect for marketers and researchers, it supports bulk input, scheduling, and export to Google Sheets or CSV, enabling efficient audience analysis, engagement tracking, and data-driven outreach strategies.
Tutorial
Overview
Step By Step Guide
The Twitter Retweet List Extractor automation helps you extract detailed information about users who have retweeted a specific tweet, including their Twitter handles, bios, follower counts, and more. This tool is ideal for marketers, researchers, and growth hackers looking to analyze audience engagement or build targeted lists. Data can be exported to Google Sheets or CSV for streamlined tracking and analysis. Follow this guide to configure and execute the automation.
Step 1: Connect to Twitter with TexAu
Log in to your TexAu account at v2-prod.texau.com. To enable the automation, connect your Twitter account to TexAu. Follow these steps:
- Click Add Account on the configuration page and select Twitter from the available platforms.
- Choose one of the following methods to connect your account:
- Share via Magic Link: TexAu will send a secure link to your email for seamless login without handling cookies.
- Cookie Authentication: Copy and paste your Twitter browser cookies into the designated field.
Tip: Use Magic Link for a fast and secure setup, avoiding the need for manual cookie management.
Step 2: Log in to the TexAu App and Locate the Automation
Navigate to the Automation Store, search for Twitter Retweet List Extractor, 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
Effortlessly extract a list of users who have retweeted a specific Twitter post using TexAu. This automation helps in analyzing engagement and identifying active participants.
Single Input
Use this option to extract retweeters for a single post.
- Account: Select the Twitter account you want to use for extraction.
- Post URL: Enter the URL of the Twitter post for which you want to extract retweeters.
- Extract Limit (Optional): Define the maximum number of retweeters to extract (up to 1000 per launch).
Google Sheets
This option is ideal for extracting retweeters for multiple posts listed in a Google Sheet.
- Connect your Google Account
Click Select Google Account to choose an account or add a new one using Add New Google Sheet Account. - Select your spreadsheet
Click Open Google Drive to locate the Google Sheet containing post URLs.
Choose the spreadsheet and the specific sheet with your data. - Adjust processing options
Number of Rows to Process (Optional): Specify the number of rows to process.
Number of Rows to Skip (Optional): Define rows to skip if needed. - Provide input details
Post URL: Ensure the column in the sheet contains valid post URLs. - Enable Loop Mode (Optional)
Turn on Loop Mode to reprocess the Google Sheet from the start after all rows are completed.
Process a CSV File
Extract retweeters for multiple posts listed in a CSV file.
- Upload the file
Click Upload CSV File and select your CSV containing post URLs.
TexAu will preview its 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 column in the CSV contains valid post URLs.
Extract Limit (Optional): Specify the maximum number of retweeters to extract per post.
Step 5: Schedule the Automation (Optional)
To automate retweet list extraction at specific times, configure the Schedule settings:
- None: Run the automation immediately.
- At Regular Intervals: Set to repeat every few hours or daily.
- Once: Specify a one-time run at a particular date and time.
- Every Day: Automate extraction daily at a chosen time.
- On Specific Days of the Week: Choose specific days like Monday or Friday.
- On Specific Days of the Month: Select specific dates like the 1st or 15th.
- On Specific Dates: Define exact dates for the automation.
Tip: Scheduling ensures regular updates for ongoing data collection projects, such as tracking tweet performance over time.
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
Once the automation completes, access your results in the Data Store:
Navigate to Data Store in TexAu.
Locate the Twitter Retweet List Extractor automation.
Click See Data to view or download the extracted retweet list details.
The Twitter Retweet List Extractor automation simplifies the collection of retweet user data, enabling marketers, researchers, and social media managers to analyze engagement, identify key contributors, and build targeted outreach lists. With features like bulk input, scheduling, and export to Google Sheets or CSV, this tool supports efficient and data-driven strategies.
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