MARKET RESEARCH
Daily Agency Docket Scan to Notion Compliance Tracker
Each morning, crawls the rule dockets of agencies you care about, detects newly posted or updated rules, and logs each one as a structured row in a Notion compliance tracker.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule fires the scan
- ActionCrawl agency docket pagesFirecrawl
- LogicDiff against tracker for new/changed rules
- ActionExtract structured rule fieldsOpenAI
- OutputUpsert rows into Notion trackerNotion
What it does
Keeps a living Notion database of every rulemaking action in your vertical. On a daily schedule it scrapes the docket pages of a configured agency list, normalizes each entry (docket ID, title, stage, comment deadline), and writes anything new or changed to your tracker so nothing slips through.
When to use it
Use it when your team manually checks Federal Register or agency rule pages and you want a single, always-current Notion board instead of scattered bookmarks and inbox screenshots. Best for compliance, regulatory affairs, or legal-ops teams covering a defined set of agencies.
How it works
- 1A daily schedule fires the run.
- 2Firecrawl crawls each configured agency docket URL and extracts the rule listings.
- 3A logic step diffs the scraped entries against the Notion tracker to isolate brand-new or status-changed rules.
- 4For each surviving entry, an OpenAI step extracts clean fields: stage, comment-close date, and a one-line scope summary.
- 5A Notion action upserts each rule as a row (created or updated), keeping the board authoritative.
Set it up
What you configure once, before turning it on.
- 1Connect FirecrawlCrawl, scrape, structured extract.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 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.