Automated Market Research System
Build a research system that continuously scans competitors, industry news, and customer sentiment, then synthesizes findings into a weekly intelligence brief your team actually reads.
Download workflow config (JSON)How the data moves
This is a handoff plan, not an automatic integration. Review outputs before the next step. Unlabeled arrows show order, not a verified data format. Use the capability links to explore tool substitutions.
Step 1
Scrape competitor and industry data
Use Apify to schedule weekly scrapes of competitor pricing pages, product changelogs, job listings, and industry news sources. Export structured JSON to a shared data store.
Step 2
Aggregate and search research sources
Run targeted queries in Perplexity to pull recent analyst reports, news coverage, and forum discussions about your market. Save key findings with citations.
Step 3
Surface academic and expert signals
Use Elicit and Consensus to query research papers and expert publications for emerging trends relevant to your product category. Export summaries of the most relevant findings.
Step 4
Synthesize into an intelligence brief
Feed all collected data into Claude with a prompt template for your weekly brief format: executive summary, competitor moves, market shifts, customer signals, and recommended actions.
Step 5
Automate delivery and archiving
Use Zapier to trigger the Claude synthesis step on a weekly schedule, deliver the report to Slack and email, and archive each brief in a Notion database for trend tracking over time.
Time Required
4–8 hours to build
Expected Result
A weekly market intelligence report covering competitor moves, trending topics, and customer signal, assembled automatically and delivered to your inbox or Slack channel.
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