Extract Relevant and Popular X Posts to Slack
This automation extracts popular posts on a specific topic from X (formerly Twitter) and posts a formatted summary to a designated Slack channel.
This automation helps you stay on top of trends and conversations on X (formerly Twitter).
- It begins by searching X for a topic you provide.
- The automation then intelligently scrolls through the search results, collecting tweets until it reaches your desired maximum. It includes robust de-duplication to ensure you only see unique tweets.
- It specifically looks for popular tweets, filtering for those with more than 10,000 views to ensure relevance.
- For each popular tweet, it extracts the content, view count, like count, and a direct link.
- Finally, it compiles all the extracted information into a neatly formatted message and posts it to your specified Slack channel for easy review. If no popular tweets are found, it will notify you of that as well.
Usage Ideas
- Monitor your brand or product mentions to gauge public sentiment.
- Track your competitors' social media activity and announcements.
- Curate engaging content for a company newsletter or blog post.
- Stay informed about the latest trends and breaking news in your industry.
- Find user-generated content to share on your own social channels.
Customization Ideas
This template provides a strong foundation that you can easily tailor to your specific needs.
- Topic & Quantity: You can define any search topic and set the maximum number of tweets to collect.
- Destination: While this template posts to a Slack channel you specify, you can easily change the destination to another service, like sending an email or adding rows to a spreadsheet.
- Popularity Criteria: You have control over what "popular" means. You can adjust the minimum view count filter (currently set at 10,000 views) or add other filters, such as a minimum number of likes.
- Message Formatting: You have full control over the final message format. Change the emojis, the text labels (e.g., "Views"), and which pieces of information (like views, likes, or link) are included in the final post.
- Data Extraction: You can modify the automation to extract different information from each tweet, such as the author's username or the time it was posted.