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🎯 Hiring Signal Detector — Sales Triggers From Active Job Postings

Detect buyer-intent signals from job postings across LinkedIn, Indeed, Greenhouse, Lever, Workable, and company career pages. Pulls active openings, classifies the tech stack + tooling mentioned in each JD, and emits structured "hiring-intent" records — the same signal Bombora and 6sense bill for at $30-80K/year, but cost: $0.005 per signal. Built for sales teams selling HR-tech, DevTools, MarTech, observability, and security platforms where "they're hiring for X = they need Y" is the highest-converting outbound trigger.

Why Hiring Signal Detector Beats Bombora, 6sense, Demandbase & Manual SDR Research

Most go-to-market teams pick this actor instead of stitching together Bombora + a manual SDR research process because hiring signals are more deterministic than surfing-cookie intent: "Acme Corp posted 3 senior data engineer roles this week" beats "Acme Corp had elevated topic activity around data-engineering". And it's cheaper than any intent-data contract — by an order of magnitude.

What You Get Per Signal

• company, company_domain, company_industry, headcount_band
• signal_type — new_role / volume_spike / tech_adoption / replacement_search
• job_title, job_url, posted_date, source (linkedin / greenhouse / lever / indeed / direct)
• detected_tools — array of {tool, confidence} (e.g. Snowflake 0.95, Looker 0.88)
• detected_role_family — engineering / data / security / marketing / sales / product…
• seniority — junior / mid / senior / lead / principal / VP
• location, is_remote, salary_band (when published)
• velocity_7d — openings posted by this company in last 7 days
• velocity_30d — same over 30 days
• intent_score — composite 0-100 weighting volume + role + tool match
• recommended_outreach_angle — short tagline (e.g. "They just posted 4 Snowflake roles — pitch warehouse cost-control")

Use Cases

• DevTools sales — flag companies posting roles that mention your competitor; pitch a switch
• HR-tech sales — surface companies hiring 5+ engineers in 30 days (likely ATS upgrade window)
• Observability / security — find companies hiring SREs / SecOps as a pre-buy intent signal
• Recruiting agencies — preempt RFPs by spotting hiring surges before they reach the agency RFP stage
• VC / PE deal sourcing — identify breakout startups by hiring velocity acceleration
• MarTech sales — companies hiring "Director of Demand Gen" = HubSpot / Marketo eval window
• Account-based marketing — auto-trigger personalized campaigns on new-role detection

Quick Start (Python)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/hiring-signal-detector").call(run_input={
"icp_companies":["stripe.com","datadog.com","snowflake.com"],
"icp_role_families":["data","engineering"],
"icp_tools":["Snowflake","dbt","Airflow"],
"lookback_days":14
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["company"], item["signal_type"], item["intent_score"], item["recommended_outreach_angle"])

Pricing — Pay Per Signal

• Actor start: $0.005
• Signal: $0.50 A 1,000-account weekly ICP sweep that returns ~200 signals = $100.005 (200 × $0.50 + 1 × $0.005 actor start). No monthly minimum, no annual commitment. Compare with a $50K+ Bombora annual = ~$4K/month flat regardless of usage.

Related NexGenData Sales-Intelligence Actors

FAQ

Q: Where do the signals come from? A: We aggregate public job postings from LinkedIn, Indeed, Greenhouse, Lever, Workable, and company career pages, then run an NLP layer that extracts the tooling + role family + seniority signals.

Q: How accurate is the tool detection? A: We publish a per-detection confidence score; above 0.85 maps to ~95% precision in our internal eval. Below 0.7 you should treat as "possible signal".

Q: How fresh is each signal? A: Live fetch per run. We typically see new job postings within 1-4 hours of being posted on the source ATS.

Q: Can I push signals into Salesforce / HubSpot? A: Yes — Apify integrations include Salesforce, HubSpot, Pipedrive, Zapier, Make.com, n8n, and direct webhooks for any CRM.

Q: Legal status? A: All source job postings are public. We surface only metadata + extracted entities from the job description text — no candidate PII, no PII at all.

How NexGenData Pricing Works

Every NexGenData actor uses pay-per-event pricing — you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills.

• Actor Start: a single-event charge each time you spin the actor up (scaled to memory size)
• Result / item: charged per item written to the default dataset
• No charge for retries, internal proxy rotation, or failed sub-requests — those are absorbed by the platform

Apify Platform Bonus

New to Apify? Sign up with the NexGenData referral link — you get free platform credits on signup (enough for several thousand free results) and you help fund the maintenance of this actor fleet.

Integration Surface

Every actor in the NexGenData catalog can be triggered from:

• Apify console — point-and-click run
• Apify API — REST + webhooks
• Apify Python / JS SDKs — programmatic batch
• Zapier, Make.com, n8n — official integrations
• MCP — many actors are exposed as MCP tools for Claude / ChatGPT / Cursor agents
• Schedules — built-in cron for daily / weekly / monthly runs
• Webhooks — POST results to any HTTPS endpoint on dataset write

Support

NexGenData maintains 260+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours. Roadmap requests are welcome — high-demand features ship in the next version.

Home: thenextgennexus.com Full catalog: apify.com/nexgendata