LEAD GENERATION
Harvest Job Postings into Intent-Scored Target Accounts
Scrapes fresh job openings matching your ICP roles, scores each company's buying intent with an LLM, and upserts ranked target accounts into your Postgres warehouse.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule fires
- ActionScrape matching job postingsApify
- LogicFilter to fresh, in-ICP roles
- ActionScore hiring intent per postingOpenAI
- LogicAggregate scores by company
- OutputUpsert ranked accounts to warehousePostgres
What it does
This is the core signal harvester. On a schedule it pulls newly posted jobs that match the roles your buyers tend to staff up before purchasing (for example, "Head of RevOps" or "Platform Engineer"), asks an LLM to translate each posting into a hiring-intent score, and writes a deduplicated, ranked list of target accounts to your database.
When to use it
Use it when new role openings at a company are a leading indicator that they need what you sell. It is the foundation other workflows build on: keep one clean accounts table fed by hiring signals, then route from there.
How it works
- 1A daily schedule fires the run.
- 2Apify scrapes job boards for postings matching your configured titles, locations, and keywords.
- 3A filter drops listings older than 14 days and roles outside your ICP.
- 4OpenAI reads each posting and returns an intent score (0-100), the inferred initiative, and a one-line rationale.
- 5Companies are grouped and their top score plus open-role count are computed.
- 6The result is upserted into Postgres keyed by company domain, so re-runs update rather than duplicate.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect PostgresAny Postgres URL — query, write, migrate.
- 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 Lead Generation workflows
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Manual Brave keyword sweep into an Airtable research board
On demand, sweeps a topic across Brave Search, clusters the results by buying stage with an LLM, and writes a deduplicated research board to Airtable with company, source URL.
Daily rollup of scored webinar leads from Airtable into HubSpot lists
On a schedule, read newly scored webinar leads from Airtable, sync each into the matching HubSpot tiered list (Hot/Warm/Cold).
Fast-track hot webinar leads into HubSpot and ping the rep on Slack
After a webinar, identify attendees whose poll answers signal high purchase intent, create or update their HubSpot contact with a lead score.
Classify open-text webinar poll answers with AI and enrich the lead record
For webinars that use free-text poll questions, an AI step reads each attendee's written answers, classifies intent and pain points into structured fields.
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.