📊 AI-powered news monitoring with Linkup, Airtable, and Slack notifications

⚡ 1,309 views · 📊 Market Research & Insights

💡 Pro Tip — For competitive intelligence, ScraperNode can automate the data collection — Yelp reviews, Glassdoor company data, and Crunchbase profiles all return structured JSON you can feed straight into this workflow.

Description

Quick overview

Automatically searches the web for recent news on any topic using Linkup’s AI search, extracts title, summary, date, and URL for each article, saves them as records in Airtable, and sends a Slack notification once the digest is ready for review.

How it works

1. The Schedule Trigger node runs the workflow automatically on a recurring schedule, weekly by default.
2. The Set news parameters node defines the topic(s) to monitor (News topic(s)) and the freshness window in days (News from last x days).
3. The Query Linkup for news node sends a POST request to the Linkup API (https://api.linkup.so/v1/search) with the topic, a fromDate calculated from the freshness window, and a structured output schema requesting title, URL, content summary, and publication date for each article.
4. The Split out news node splits the returned news array into individual items, one per article.
5. The Loop Over Items node processes each article one at a time to stay within API rate limits.
6. For each article, the Store one news node creates a new record in an Airtable table with the fields Title, Date, Summary, URL, and a Status of “new”.
7. The Wait node pauses 2 seconds between each Airtable write to avoid hitting rate limits.
8. Once all articles are processed, the Aggregate in 1 item node combines all items into a single item, and the Notify in Slack node posts a message to a Slack channel stating how many news articles were found.

Setup

1. Configure the Schedule Trigger node to set the frequency and time you want the workflow to run (default: every 7 days at 17:30).
2. In the Set news parameters node, replace the example value of News topic(s) with your own keywords (e.g. “decarbonisation, net-zero and corporate sustainability”), and set News from last x days to match your schedule frequency.
3. In the Query Linkup for news node, add your Linkup API key as an HTTP Bearer Auth credential. Get a free API key at https://www.linkup.so/ (the free plan includes €5 of monthly credits, enough for about 1,000 runs of this workflow).
4. In the Store one news node, connect your Airtable account, then select the Base and Table where news should be saved. The table must contain the fields: Title (string), Date (date/time), Summary (string), URL (string), and Status (single select with options “new” and “reviewed”).
5. In the Notify in Slack node, connect your Slack account and select the channel where you want to receive the completion notification.
6. Activate the workflow to start the automated news monitoring.

Requirements

• A Linkup account and API key (free tier available at https://www.linkup.so/)
• An Airtable account with a base/table containing the fields Title, Date, Summary, URL, and Status
• A Slack account with access to the channel used for notifications

Customization

• Swap the Airtable node for a Notion, Google Sheets, or other database node to store news elsewhere
• Replace the Slack node with a Discord, Telegram, or Email node for alerts on a different platform
• Insert an AI node after the Linkup search to perform sentiment analysis, categorize articles, or generate a high-level overview before saving them

Additional info

Linkup’s free plan includes €5 of monthly credits, enough for roughly 1,000 runs of this workflow. Get an API key at https://www.linkup.so/.

🔗 Nodes Used

Airtable, HTTP Request, Slack, Schedule Trigger

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup