This n8n workflow is designed to monitor and extract relevant posts from X (formerly Twitter) based on specified search criteria and categories. It’s ideal for community managers, marketers, and researchers to stay updated with in real-time community discussions and signals. The process begins when triggered by another workflow, prompting Airtop to start a browser session using a predefined profile. The workflow then opens the specified X search URL, scrolls through the results, and extracts up to 10 non-sponsored, English-language posts containing the ‘/status/’ URL path. Each post’s data—such as writer, timestamp, content, and URL—is captured, classified into categories, or marked as ‘[NA]’ if unrelated. Posts identified as ‘[NA]’ are filtered out, leaving only relevant posts. The structured data output can be used for engagement, sentiment analysis, or alerting purposes, enabling users to act quickly on community insights.
Automated Extraction of Tweets for Community Insights
Node Count | 6 – 10 Nodes |
---|---|
Nodes Used | airtop, code, executeWorkflowTrigger, filter, set, stickyNote |
Reviews
There are no reviews yet.