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
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: Log in to the TexAu App and Locate the Automation
Log in to your TexAu account at v2-prod.texau.com. Navigate to the Automation Store and search for Twitter Retweet List Extractor. Click on the automation to open its configuration screen.\
Step 2: Connect Your Twitter Account
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:
- 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 3: Select Your Input Source
Specify the tweets from which to extract retweet lists. TexAu provides the following input options:
- Manually Enter a Single Input: Enter a single tweet URL directly into the input field.
- Google Sheets: Use a Google Sheet with multiple tweet URLs, each in a separate row. Paste the sheet link or connect your Google account to grant access.
- CSV File: Upload a CSV file containing tweet URLs in a column for bulk processing.
Tip: Use Google Sheets or CSV to efficiently manage and process data from multiple tweets.
Step 4: 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 5: Set an Iteration Delay (Optional)
To simulate natural browsing behavior and reduce detection risk, configure an Iteration Delay between scraping requests. Adjust these parameters:
- Minimum Delay: The shortest interval between requests.
- Maximum Delay: The longest interval to introduce randomness.
For example, delays between 5–10 seconds can make scraping appear more organic.
Step 6: Choose Your Output Mode (Optional)
Select how to save and manage the extracted retweet list data:
- Export Options: Choose Google Sheets for real-time collaboration or CSV for offline access.
- Output Management:
- Append: Add new data to the end of an existing file.
- Split: Create a new file for every automation run.
- Overwrite: Replace previous data with the latest results.
- Duplicate Management: Enable Deduplicate to remove duplicate entries for a cleaner dataset.
Tip: Exporting directly to Google Sheets is ideal for live collaboration on extracted data.
Step 7: Run the Automation on Cloud or Desktop
Once all configurations are complete, click Run to start the automation. Choose between:
- Cloud: Run the automation on TexAu’s servers for a hands-free experience.
- Desktop: Run locally on your device, using your IP address to simulate manual browsing.
Tip: Running the automation in Desktop mode saves cloud runtime credits and provides more control over execution.
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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