What problem this workflow solves?
Manually copying results from a keyword search on Twitter/X takes a lot of time and is incredibly easy to mess up. When your team needs to track social media trends, review engagement metrics, or build a research report, doing it by hand slows everyone down. This tweet scraper solves that exact problem by turning public post collection into a fast, guided process. It automatically gathers all the specific details you need, so you do not have to copy and paste each post one by one. You can simply enter your terms, apply custom filters like dates or media types, and let the tool do the heavy lifting to build a perfect Twitter data export for you.
- Stops the boring manual copy-and-paste work directly from Twitter/X search results.
- Quickly gathers important tweet content, author details, and engagement metrics.
- Lets you run a massive keyword search with multiple terms entered line by line.
- Creates an easy-to-read, Excel-ready Twitter data export for your team.
- Remembers exactly where you left off, so the tweet scraper skips URLs you already have.
What does this workflow do?
This tweet scraper automates the entire process of finding and saving Twitter posts. It seamlessly opens your selected browser, builds a custom keyword search link, and scrolls through the page to find matching tweets. It can even open specific posts to grab deeper details and save everything cleanly into a data table. You will easily collect author names, publish times, and important engagement metrics like replies, reposts, and views. Once the task is fully finished, the tool automatically saves a neat Twitter data export right to your computer desktop as an Excel file, keeping all your research perfectly organized.
- Automatically runs a structured keyword search directly on the x.com/search page.
- Lets you easily sort your gathered findings by Latest or Top posts.
- Includes special search rules like dates, languages, and targeted media filters.
- Gathers images, video thumbnails, and full engagement metrics for every post.
- Saves your final Twitter data export directly as an .xlsx file on your desktop.
Who is this for?
This tweet scraper is perfect for marketers, researchers, and content teams who need a smart, structured way to track social media conversations. If you want more than just reading tweets and actually need a complete Twitter data export, this is definitely the right tool for you. A social media team can use it to track how well a campaign is doing by running a specific keyword search. Researchers can easily compare public reactions across different topics and carefully study the engagement metrics. It is also a fantastic fit for growth teams wanting to find popular media posts quickly without reading through irrelevant content.
- Great for teams doing public keyword search research straight on Twitter/X.
- Perfect for tracking marketing campaigns, finding fresh content, and spotting trends.
- Helpful for users who care deeply about highly accurate engagement metrics.
- Designed perfectly for people who prefer simple setup screens over writing any code.
- Works beautifully when you need to run the same tweet scraper list multiple times.
How does it work?
The setup process is very straightforward and user-friendly. First, the tweet scraper checks if you have run this exact task before, letting you pick up right where you left off. When you start fresh, a setup screen asks for your keyword search terms, browser choice, and how many posts you want to collect. A second screen lets you set specific filters for engagement metrics, like a minimum number of likes or views. After that, the tool opens Twitter/X, scrolls through the search results, skips promoted ads, and gathers the details. Finally, it builds your clean Twitter data export and saves it automatically.
- Step 1: Checks past records to avoid collecting the exact same posts twice.
- Step 2: Asks for your basic tweet scraper settings and personal preferences.
- Step 3: Creates a targeted keyword search link for each individual term.
- Step 4: Scrolls the page to find and collect all matching candidate tweet links.
- Step 5: Opens posts to record exact engagement metrics, media URLs, and authors.
- Step 6: Saves all the collected details and finishes your Twitter data export.
The Environment Checklist
Before running the tweet scraper, you need to make sure your computer environment is totally ready. First, ensure you have downloaded and installed the latest version of Automa. You also must verify that your web browser and client are logged into the same account. Make sure the application has been successfully obtained and launched. For the keyword search to work, your chosen browser needs to be able to open Twitter/X properly. You must be logged into your Twitter/X account so the tool can actually see the results and engagement metrics. Finally, ensure your computer allows the tool to save the final Twitter data export directly to your desktop.
- Downloaded and installed the latest version of Automa.
- Web and client are logged into the same account.
- The application has been successfully obtained and launched.
- The selected browser is installed and can open Twitter/X smoothly.
- The user is fully logged into Twitter/X before starting the tweet scraper.
- The keyword search results show up normally on your browser screen.
- Any Twitter/X verification is finished before collecting engagement metrics.
- Desktop folder access is widely open for saving the Twitter data export.
Input Mapping
Setting up the tweet scraper is very easy thanks to our clear input screens. The first screen focuses heavily on your main keyword search settings, where you pick your browser, set dates, choose languages, and type your target words. The second screen is all about filtering for specific engagement metrics, letting you ignore any posts that do not have enough likes, views, or replies. These specific choices guide the tool step-by-step as it builds your final Twitter data export. You have complete, total control over exactly what data the bot collects, ensuring your results are always highly accurate and useful.
- Browser & Count: Pick your browser and choose how many tweets to grab.
- Search Rules: Select Latest or Top results for your main keyword search.
- Dates & Language: Add a clear start date, end date, and specific language code.
- Keywords: Enter your search terms carefully, making sure to use one per line.
- Engagement Metrics: Set minimum numbers for replies, reposts, likes, and views.
- Media Filter: Tell the tweet scraper to only save posts containing photos or videos.
- Final Output: Get a complete Twitter data export filled with authors, links, and times.
Need help customizing?
While this tweet scraper is entirely ready to use right out of the box, your specific team might need special tweaks. You might want to change the exact columns in your Twitter data export, look at entirely different engagement metrics, or adjust how the keyword search handles media links. If you want to connect this tool to other apps, we are always happy to help you set that up. For any assistance, please reach out to our community on Discord or simply send us a message directly through Feedback. When you contact us, just clearly explain what you want to change so we can assist you quickly!
