Twitter Profile Scraper

Step By Step guide

The Twitter Profile Scraper automation extracts key information from Twitter profiles, such as bio, follower count, location, website links, and more. This tool is ideal for marketers, researchers, and growth hackers aiming to build targeted lists, analyze competitors, or gather lead data. Data can be exported to Google Sheets or CSV for easy tracking and analysis. Follow this guide to configure and run the automation effectively.

Step 1: Connect to Twitter with TexAu

Log in to your TexAu account at v2-prod.texau.com. To enable the scraper, connect your Twitter account to TexAu. Follow these steps:

1. Click Add Account on the configuration page and select Twitter from the available platforms.
2. 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 Profile Scraper, 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's Twitter Profile Scraper allows you to extract detailed information from Twitter profiles, including bio, location, followers count, and more. This tool is invaluable for building databases, conducting competitor analysis, or gathering insights for marketing campaigns. Choose from Single Input, Google Sheets, or CSV File methods for input to match your needs.

Single Input

Use this method to scrape information for a single Twitter profile.

• Account: Select the Twitter account you want to use for the scraping process.
• Profile URL: Enter the Twitter profile URL.

Google Sheets

This method is ideal for scraping information for multiple profiles listed 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 the Twitter profile URLs.
   • Choose the spreadsheet and the specific sheet where your data is stored.
3. Adjust processing options
   • Number of Rows to Process (Optional): Define the number of rows of data to process.
   • Number of Rows to Skip (Optional): Specify rows to skip if necessary.
4. Provide input details
   • Profile URL: Ensure the column in the sheet contains valid Twitter profile URLs.
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

Use this method to scrape information for profiles stored in a CSV file.

• Upload the file
  • Click Upload CSV File and select the file containing the Twitter profile 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
  • Profile URL: Ensure the correct column contains valid Twitter profile URLs.

Tip: Google Sheets is best for dynamic or frequently updated lists, while CSV files work well for static data.

Step 5: Schedule the Automation (Optional)

To automate profile scraping at specific times, configure the Schedule settings:

• None: Run the automation immediately.
• At Regular Intervals: Set the automation to repeat every few hours or daily.
• Once: Specify a one-time run at a particular date and time.
• Every Day: Automate scraping 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 like lead generation or competitor analysis.

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:

1. Navigate to Data Store in TexAu.

2. Locate the Twitter Profile Scraper automation.

3. Click See Data to view or download the scraped profile details.

   

The Twitter Profile Scraper automation simplifies the collection of detailed profile data from Twitter, enabling marketers, researchers, and sales teams to build targeted lists, analyze competitors, and conduct effective outreach. With features like bulk input, scheduling, and export to Google Sheets or CSV, it supports efficient data-driven strategies.