MARKET RESEARCH
On-demand review research brief from a Monday button
Triggered from a Monday item, scrapes reviews for the named app via Apify, classifies sentiment and themes with HuggingFace.
How it runs
The automated pipeline, trigger to output.
- TriggerMonday item button/status webhookmonday.com
- ActionScrape named app's reviewsApify
- ActionClassify sentiment + themesHugging Face
- LogicAssemble structured brief
- OutputPost brief to Monday itemmonday.com
What it does
When a researcher clicks a button (or sets a status) on a Monday board item naming an app, this scrapes that app's recent reviews with Apify, runs HuggingFace sentiment and theme extraction, and posts a written research brief back into the same item.
When to use it
Use it for ad-hoc competitive or discovery research, when someone wants a fast sentiment read on a specific app without spinning up the full nightly pipeline. The request and the answer live in the same Monday item.
How it works
- 1A Monday status change or button webhook triggers the run with the target app id.
- 2An Apify actor scrapes that app's most recent reviews.
- 3HuggingFace classifies sentiment and surfaces the dominant positive and negative themes.
- 4A logic step assembles the counts, ratios, and representative quotes into a structured brief.
- 5The brief is posted as an update on the originating Monday item and its status is set to Done.
Set it up
What you configure once, before turning it on.
- 1Connect monday.comVisual work management for teams.
- 2Connect ApifyActors, scrapers, datasets.
- 3Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Market Research workflows
Enrich Inbound Accounts with BigQuery Firmographics and Score Fit
When a new account row lands in Airtable, joins it against BigQuery public business datasets to attach firmographic attributes.
Blend BigQuery TAM with Live Competitor Signals into a Notion Brief
On demand, sizes a chosen segment from BigQuery public data, gathers current competitor signals via Brave Search, and synthesizes a one-page market brief into Notion.
Allocate Sales Territory TAM from BigQuery Geo Data to HubSpot
When triggered by a webhook, queries BigQuery public ZIP-level business data to compute TAM per sales territory.
Hiring Surge Detector with Slack Alert
Detects when a target account's open-role count jumps above its recent baseline and posts a ranked Slack alert to the GTM channel so reps can act on a company that is clearly…
Tech-Stack Shift Inference from Job Descriptions
Reads new job descriptions for target accounts, uses an LLM to extract named technologies and infer stack changes.
Weekly Hiring-Intel Briefing for GTM
An agent reviews the week's accumulated hiring signals across all target accounts, writes a narrative briefing that infers each account's likely initiatives.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
