Send daily brand mention digests to Slack with ScraperAPI and OpenAI
UnknownWhat this workflow does
This AI workflow has 13 nodes and runs on a schedule (cron 0 8 * * *). Along the way it connects OpenAI Chat Model, Slack and Scraperapi Official (community).
How it runs
Trigger: On a schedule (cron 0 8 * * *).
- Configure (Edit Fields (Set)): sets 4 fields: searchTerms, slackChannel, countryCode…
- Init Seen Table (Data table): create (table)
- Read Seen Articles (Data table): get (row)
- Expand Search Terms (Code): runs custom JavaScript code
- Fetch Google News via ScraperAPI (Scraper Api): google news (sde)
- Keep Only New Articles (Code): runs custom JavaScript code
- Append New Articles (Data table): insert (row)
- Build Digest Input (Code): runs custom JavaScript code
- Summarize into Digest (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI GPT-5 Mini
- Compose Digest Message (Code): runs custom JavaScript code
…plus 1 more step. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-scraperapi-official is verified or supports 3.0 (used in Fetch Google News via ScraperAPI).
Nodes used (8)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - Data table
n8n-nodes-base.dataTable - Code
n8n-nodes-base.code - Scraper Api
n8n-nodes-scraperapi-official.scraperApi - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Slack
n8n-nodes-base.slack
From the author
Quick Overview This workflow runs every morning at 8am, searches Google News for configured brand terms using ScraperAPI, stores previously seen article URLs in an n8n Data Table, summarizes the new coverage with OpenAI, and posts a daily brand-mention digest…