Twitter List Membership Export
Twitter List Membership Export extracts detailed information about members of any public Twitter list, including usernames, bios, and follower counts. Ideal for marketers and researchers, this automation helps analyze audience segments, monitor competitors, or build targeted outreach lists efficiently. Save time and gain actionable insights with organized member data.
Tutorial
Overview
The Twitter List Membership Export automation allows you to extract detailed information about the members of specific Twitter lists. This tool is ideal for marketers, researchers, and growth hackers looking to analyze list members, build targeted outreach campaigns, or gather audience insights efficiently. With options for customization, scheduling, and data export, this tool ensures seamless data management for your Twitter list analysis needs.
Follow this guide to configure the automation, export results to Google Sheets or CSV, and run it on the cloud or desktop.
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. TexAu provides secure methods for account integration:
- Share Via Magic Link: Receive a secure email link to authenticate your account without manual input.
- Add Account via Browser Extension: Use TexAu’s extension to link your account seamlessly.
Tip: Use the Magic Link for a quick and hassle-free setup without worrying about entering cookies manually.
Step 2: Log in to the TexAu App and Locate the Automation
Navigate to the Automation Store and enter Twitter List Membership Export in the search bar to locate this tool, which helps you extract member details from Twitter lists.
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 data extraction.
Tip: Running the automation in Desktop mode saves cloud runtime credits and provides more control over execution.
Step 4: Select Your Input Source
Twitter Profile Subscription Tweets Export automation enables users to extract tweets from a specific Twitter profile they have subscribed to. This is particularly useful for tracking updates from influential profiles or competitors. The data can be customized by defining the extraction limit and using advanced settings for Google Sheets or CSV files.
Single Input
- Account: Select the Twitter account to use for extraction.
- Twitter Profile URL: Add the URL of the Twitter profile you want to extract tweets from.
- Extract Limit (Optional): Specify the number of tweets to extract (Max. 1000 tweets per launch).
Google Sheet Integration
- Google Account: Choose a connected Google account to access spreadsheets.
- Spreadsheet: Select the Google spreadsheet where data will be stored.
- Sheet: Define the specific sheet name.
- Optional Settings:
- Number of Rows to Process: Limit the rows for processing.
- Number of Rows to Skip: Define rows to skip.
- Loop Mode: Enable to reprocess the sheet from the start once the last row is reached.
Process a CSV File
- Upload CSV File: Choose a CSV file containing Twitter profile URLs.
- Adjust Settings:
- Number of Rows to Process (Optional): Specify how many rows to process.
- Number of Rows to Skip (Optional): Define rows to skip during automation.
- Input Details: Ensure the CSV file contains valid Twitter profile URLs.
Step 5: Schedule the Automation (Optional)
Schedule the automation to run at specific times to manage list data extraction efficiently. Click Schedule and configure the timing:
- None: Run the automation immediately.
- At Regular Intervals: Set a specific interval (e.g., every hour or day).
- Once: Execute the automation at a designated time.
- Every Day: Run daily at the same time.
- On Specific Days of the Week: Schedule specific days (e.g., every Monday).
- On Specific Dates: Choose exact calendar dates (e.g., December 1).
Tip: Scheduling ensures consistent data updates while preventing overactivity during off-hours.
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 list membership 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 export makes it easy to collaborate with your team in real time, particularly useful for list member analysis.
Step 8: Access the Data from the Data Store
After the automation completes, navigate to the Data Store section in TexAu. Locate the Twitter List Membership Export automation and click See Data to view or download the extracted data.
The Twitter List Membership Export automation simplifies the process of extracting Twitter list member data for analysis or outreach. With options for scheduling, iteration delays, and data export, this tool is perfect for marketers, researchers, and sales professionals looking to enhance their Twitter engagement strategy.
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