Extract Twitter Likes & Retweets in Table Format
Overview
The software enables users to extract Like and Retweet lists from Twitter (X) posts directly into a structured table format. Designed as a browser extension, it serves individuals and teams managing social media engagement, running giveaways, or analyzing audience interactions. By clicking a dedicated button within the tweet’s popup menu, users can retrieve the list of accounts that liked or retweeted a specific post.
The tool processes only the data currently visible in the browser, meaning users must manually scroll through the list to load additional entries. Once the desired data is displayed, a "View Results" button opens a new tab where the extracted information—such as username, display name, follow status, and bio—is presented clearly. This functionality supports use cases like audience research, influencer identification, and campaign evaluation.
The developer, Kosk_t, has provided a detailed manual to guide users through the process. While the tool is limited to browser-based access, it offers a straightforward solution for those seeking structured data from Twitter interactions without relying on third-party APIs.
Key Features & Capabilities
- Real-time List Extraction – Retrieves Like and Retweet lists from Twitter posts as they appear in the browser, ensuring users access only the data currently loaded on the page.
- Structured Table Output – Displays extracted user data in a clean, organized table format, including username, display name, follow status, and bio for each user.
- Manual Scroll-to-Load – Users must scroll through the Like/Retweet list on the tweet page to load more entries, allowing full control over the dataset size.
- Results in New Tab – After extraction, a new browser tab opens with the full list, enabling easy review, copying, or exporting.
- Simple User Interface – Accessible via a popup button on the tweet, requiring minimal user interaction beyond clicking and scrolling.
These features make the tool ideal for users running social media giveaways, identifying engaged followers, or analyzing audience demographics. For instance, a marketer could use it to compile a list of high-engagement users from a viral tweet and target them with follow-up content. Similarly, a content creator might use it to find users who frequently retweet similar content, aiding in collaboration outreach. The tool operates entirely within the browser, ensuring no data is stored on external servers, which may appeal to users concerned about privacy. The absence of API dependencies also means it remains functional even if Twitter’s official API changes or becomes restricted.
User Interface, Workflow & Performance
The interface is minimal and integrated directly into the Twitter (X) web interface. When a user clicks on a tweet, a popup menu appears with a “Getting Like/Retweet” button. Clicking this triggers the data extraction process.
The tool does not modify the original tweet or alter browser behavior beyond opening a new tab. Navigation is intuitive, requiring only two actions: scrolling to load more users and clicking the “View Results” button. The workflow is linear and efficient, with no complex setup or configuration required.
Performance is dependent on the browser’s ability to render large lists and the user’s internet speed. The developer did not specify resource usage details, but the tool’s lightweight nature—1.5 MB in size—suggests minimal impact on system performance. Stability is expected to be consistent with typical browser extensions, though long-running sessions with large datasets may affect responsiveness.
No known crashes or memory leaks were reported in the provided information.
Compatibility & System Requirements
The extension is compatible with Windows and Mac operating systems. It functions as a browser-based tool, meaning it requires a modern web browser to operate. The installation size is 1.5 MB, indicating a lightweight deployment.
The developer did not specify exact system requirements, including minimum CPU, RAM, or browser version. Compatibility with specific browsers (e.g., Chrome, Firefox, Edge) was not mentioned. The tool relies entirely on the browser’s rendering engine and JavaScript execution, so performance may vary depending on the user’s device and browser configuration.
The developer did not provide information on whether the extension works on mobile browsers or requires desktop environments. Platform compatibility information is limited to the operating systems listed.
Pros and Cons
Pros
- Free to use with no hidden costs
- Extracts Twitter engagement data directly from the browser
- Outputs data in a clear, table-based format
- Does not require API access or external accounts
- Lightweight and fast installation (1.5 MB)
- Privacy-focused: data remains local to the user’s browser
Cons
- Requires manual scrolling to load additional user entries
- Only works with data visible in the browser at the time of extraction
- Does not support automated or bulk data collection
- Compatibility with specific browsers was not specified
- No built-in export or download functionality mentioned
FAQ Section
Is this tool free to use?
Yes, the software is completely free. No payment or subscription is required to access its features.
Does it work on mobile browsers?
The developer did not specify whether the extension supports mobile browsers. It is designed for desktop use on Windows and Mac.
Is my data safe when using this tool?
Yes, the tool processes only the data visible in your browser. No user data is transmitted to external servers, ensuring privacy and security.
Can I use it without a Twitter account?
The tool requires access to a Twitter (X) post to extract likes and retweets. A Twitter account is necessary to view and interact with tweets.
How often does it update?
The current version is 1.0.0, released on July 12, 2024. No information was provided about future update frequency.
Final Thoughts + CTA
For users seeking a simple, no-cost method to extract Twitter engagement data, this browser extension delivers a focused and effective solution. Its ability to convert unstructured social interactions into a readable table format is particularly valuable for marketers, content creators, and community managers. While it lacks automation and advanced filtering, its lightweight design, privacy-first approach, and direct browser integration make it a reliable tool for targeted data collection.
The absence of API dependencies ensures long-term usability even if Twitter’s policies change. With clear instructions and a straightforward workflow, it’s accessible to users with varying technical experience. For those needing to analyze or reward engaged followers, this tool offers a practical advantage.
Download Extract Twitter Likes & Retweets in Table Format now.
