MARKET RESEARCH

On-Demand Niche Pain Research to Airtable

Trigger a research run for any topic or niche on demand; Perplexity and Apify gather pain points across forums, then each distinct problem lands as a structured.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook with niche topicHTTP webhook
  • ActionSurvey web for pain hotspotsPerplexityPerplexity
  • ActionScrape surfaced forum threadsApify
  • ActionExtract discrete pain pointsOpenAI
  • LogicDeduplicate against existing rows
  • OutputWrite new problems to AirtableAirtableAirtable

What it does

Lets you kick off ad-hoc pain-point research for any niche by submitting a topic. It pulls community discussion from across the web and Reddit, extracts each distinct unmet need, deduplicates against what you've already logged, and writes clean structured rows to an Airtable base you can sort and tag.

When to use it

Use it when you're exploring a new market, validating a startup idea, or briefing an agency and need a fast, evidence-backed list of real problems rather than a vague vibe.

How it works

  1. 1A webhook trigger receives the topic and target forums.
  2. 2Perplexity surveys the web for known frustrations and discussion hotspots in that niche.
  3. 3Apify scrapes the specific threads Perplexity surfaced for raw quotes.
  4. 4OpenAI extracts discrete pain points, each with a problem statement and supporting quote.
  5. 5A dedup logic step compares against existing Airtable rows by problem similarity.
  6. 6New, distinct problems are written to Airtable with topic, severity, and source fields.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect PerplexitySearch-grounded answers with citations.
  3. 3
    Connect ApifyActors, scrapers, datasets.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Connect AirtableBases, tables, views, automations.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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