MARKET RESEARCH
Target Account Hiring Watchlist to Airtable
Scrapes new job postings for your named target accounts on a daily schedule and logs each one to an Airtable account-signal table with role, department, and date so the GTM team…
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule fires
- ActionRead target accounts from AirtableAirtable
- ActionScrape job postings per account with ApifyApify
- LogicDedupe against already-recorded postings
- OutputAppend new postings to Airtable signals tableAirtable
What it does
Maintains a living record of every new job your target accounts post. Each morning it pulls fresh listings for the companies on your watchlist, normalizes them, and appends them to an Airtable table keyed by account, giving the GTM team a queryable hiring history without manual checking.
When to use it
Use it when your account list is stable and you want a durable, structured signal base rather than ad-hoc alerts. It is the foundation other workflows can read from. Good for AE and SDR teams who want to spot department build-outs (a sudden DevOps cluster, a new RevOps hire) before competitors do.
How it works
- 1A daily schedule fires the run.
- 2Pull the target-account list from an Airtable accounts table.
- 3Run an Apify job-board scraper for each account's careers page or aggregator listings.
- 4Filter to postings not already recorded (dedupe by job URL).
- 5Append new rows to the Airtable signals table with account, role title, department, location, and first-seen date.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect AirtableBases, tables, views, automations.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, 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.
