Greenhouse Clean Job Lead Extractor (No Junk Data) avatar

Greenhouse Clean Job Lead Extractor (No Junk Data)

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$1.00 / 1,000 results

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Greenhouse Clean Job Lead Extractor (No Junk Data)

Greenhouse Clean Job Lead Extractor (No Junk Data)

Extracts clean, high-intent B2B hiring signals (open roles, departments, locations) from public Greenhouse job boards, with zero proxy overhead. Perfect for sales teams and outbound marketing pipelines.

Pricing

$1.00 / 1,000 results

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0.0

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Developer

Noah S

Noah S

Maintained by Community

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0

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2

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1

Monthly active users

6 days ago

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Greenhouse Job Board Scraper: High-Intent B2B Sales Signals

An enterprise-grade, high-speed data utility built specifically for B2B sales teams, outbound marketers, and recruiting agencies who need to monitor company hiring intent in real-time.

Unlike generic data-dump tools that clog your workflow with 60+ fields of messy website metadata, this Actor focuses strictly on delivering clean, structured, ready-to-use sales leads directly from target public Greenhouse career boards.

🚀 Key Value Propositions

  • Zero Proxy Overhead: Programmed with rotating, lightweight header distributions to operate seamlessly on public, un-blocked career endpoints. Run high-volume multi-company checks using standard datacenter networks without paying an expensive residential proxy tax.
  • Near-Zero Compute Costs: Built with an optimized execution framework that captures target data components immediately upon DOM readiness, minimizing cloud server memory retention and processing times.
  • Multi-Tenant Resilience: Built to handle bulk business tasks. Provide an entire roster of target company URLs or board tokens simultaneously; the engine processes the queue asynchronously and logs dead or invalid company targets cleanly without interrupting the overall batch run.

📥 Input Parameters

The tool accepts a clean, minimalist schema design optimized for smooth user configuration and automatic indexing by Apify's AI Discovery agent:

  • urls (Array of Strings): Full direct paths to target corporate career frames (e.g., https://boards.greenhouse.io/stripe).
  • companyIds (Array of Strings): Clean organizational slugs/tokens (e.g., stripe) for faster bulk query automation.
  • maxConcurrency (Integer): Operational ceiling control (Default: 2) to perfectly balance speed requirements against compute consumption preferences.

📤 Output Structure

The scraper delivers highly organized, semantic JSON arrays containing only the 5 essential fields required to drive high-converting cold outbound campaigns:

{
"company_name": "Stripe",
"job_title": "Senior Enterprise Account Executive",
"department": "Sales",
"job_location": "San Francisco, CA (Hybrid)",
"posting_url": "https://greenhouse.io"
}

🛠️ Ideal B2B Use Cases

  1. Sales Intelligence Signals: Spot exactly when a target enterprise account initiates a hiring surge for roles that operate directly around your B2B SaaS product or agency service line.
  2. Territory Routing & Segmentation: Leverage clean data structures to automatically sort, segment, and assign freshly generated target accounts directly into localized sales rep pipelines based on geographical regions.
  3. Competitive Tracking: Maintain clear, hands-off oversight on competitors' product and engineering expansions by monitoring their department resource growth metrics.