Twitter Tweet Scraper

Step By Step Guide

The Twitter Tweet Scraper automation helps you extract valuable data from tweets, such as hashtags, mentions, or specific topics. This tool is ideal for marketers, growth hackers, and businesses looking to analyze trends, track brand mentions, or gather insights for content strategies. Follow this guide to configure the automation for efficient tweet scraping, with data export options to Google Sheets or CSV for easy data management.

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, search for Twitter Tweet 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 allows you to extract data from specific tweets to gather insights or utilize them for analytics. Here's how you can use it:

Single Input

Use this option to extract data from a single tweet.

• Account: Select the Twitter account you want to use for scraping.
• Twitter Post URL: Enter the URL of the tweet you want to scrape.

Google Sheets

This option is ideal for scraping data from multiple tweets 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 tweet 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
   • Twitter Post URL: Ensure the column in the sheet contains valid tweet 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

This option allows scraping tweets listed in a static CSV file.

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

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

Step 5: Schedule the Automation (Optional)

Use the Schedule feature to run the automation at specific times. Scheduling ensures consistent and regular scraping without manual intervention. Click Schedule to configure your desired schedule. You can set:

• None: Run the automation immediately without scheduling.
• At Regular Intervals: Run the automation every few hours, days, or at other intervals.
• Once: Run the automation only at a specific date and time.
• Every Day: Automate daily tweet scraping for regular updates.
• On Specific Days of the Week: Select certain days (e.g., Mondays and Thursdays) to run the automation.
• On Specific Days of the Month: Run the automation on particular dates, such as the 1st or 15th of the month.
• On Specific Dates: Schedule scraping for specific dates like holidays or campaign launches.

Tip: Use recurring schedules to monitor ongoing trends and gather fresh data regularly.

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 is complete, go to the Data Store section in TexAu to view or download the scraped tweets. Locate the Twitter Tweet Scraper automation and click See Data to access your results.

The Twitter Tweet Scraper automation is a powerful tool for gathering data from Twitter in bulk. With options for keyword searches, account-specific scraping, and Google Sheets or CSV export, this tool helps marketers, businesses, and growth hackers track trends, analyze content, and stay ahead of the competition.