Hiring Signal Intelligence

Turn job datasets into a ranked list of companies that are actively hiring. Instead of returning another stream of raw job posts, this Actor groups openings by company, compares adjacent time windows, and explains why each company looks like a meaningful hiring signal.

Use it for B2B prospecting, recruiting intelligence, market research, and account prioritization. The analysis is deterministic and does not require an LLM or external API key.

What this Actor does

• Ranks companies by recent opening volume and growth.
• Measures role diversity, remote-work share, and repeated skills.
• Compares the selected lookback window with the equally long previous window.
• Attaches the underlying job records and plain-language reasons to every score.
• Accepts up to 100,000 source records and returns up to 500 ranked signals.
• Runs with limited Apify permissions and a fixed 256 MB memory ceiling.

This is an analysis Actor, not a job-site scraper. Connect it to an existing job dataset, pass records inline, or call a compatible limited-permission upstream Actor.

How to use Hiring Signal Intelligence

1. Choose one input source: inline records, an Apify datasetId, or sourceActorId with sourceActorInput.
2. Set lookbackDays, normally 7–30 days.
3. Set minOpenings to exclude companies with weak activity.
4. Set maxResults to control the number of paid company signals.
5. Start the Actor and open the default dataset.

Each usable job record needs at least a company and title. Common variants for company, role, location, publication date, URL, and description are normalized automatically.

Output

One dataset item represents one company signal. It includes company, signalScore, current and previous opening counts, growth rate, distinct roles, remote share, top skills, reasons, and supporting job records. The OUTPUT key-value-store record summarizes source volume and emitted results.

Results can be downloaded as JSON, CSV, Excel, XML, or RSS, accessed through the Apify API, scheduled, or connected to Make, Zapier, webhooks, and other Actors.

Pricing

This Actor uses transparent pay-per-event pricing:

• $0.002 per analysis run
• $0.005 per emitted company signal

Examples: 10 company signals cost $0.052; 100 signals cost $0.502. Runs that find fewer qualified companies cost less. The price covers this Actor's platform usage. If you choose a paid upstream Actor as the data source, that Actor's own charges are separate.

Cloud benchmarks at 256 MB processed 25,000 inline job records in about 7.4 seconds for approximately $0.000225 of platform usage, leaving a safety margin for normal variation.

When to use another Signal Lab Actor

• Use Marketplace Deal Alerts for underpriced listings and price drops.
• Use Review Pain Intelligence for recurring customer complaints with evidence.

FAQ

Does this Actor scrape LinkedIn or job boards?

No. It analyzes records you supply. This keeps the product source-agnostic and lets you use a compliant scraper or your own dataset.

Is the score generated by AI?

No. The score is explainable and deterministic. Every factor and supporting job is included in the output.

Can it read a private dataset?

Yes. Select the dataset in the input picker. The Actor requests read-only access to that specific dataset and otherwise uses limited permissions.

What if no company passes the threshold?

The run succeeds with an empty dataset and a summary explaining how many source records were processed. Lower minOpenings, widen lookbackDays, or check the date fields.

Support

If a source field is not recognized or a run behaves unexpectedly, open the Actor's Issues tab and include a small redacted input sample plus the run ID. Do not post API tokens or private datasets.