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B2B Hiring Signals & Tech Stack Jobs Scraper | $0.25/1K

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B2B Hiring Signals Scraper ($0.25/1K): track newly posted jobs, hiring velocity, closed roles & tech-stack buying intent (Snowflake, Kubernetes, PyTorch, SOC2, HubSpot) across 434 ATS platforms.

Pricing

from $0.25 / 1,000 hiring signal results

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Kaito T

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B2B Hiring Signals & Tech Stack Intent Scraper (New, Updated & Closed Jobs Feed)

Built for GTM Engineers, B2B Sales Teams (Clay, Apollo, HubSpot, Salesforce), Venture Capitalists, and Recruiting Agencies. Discover companies actively investing in specific tech stacks, expanding departments, or closing headcount in real time.

4 High-Intent GTM Modes

Newly Posted Jobs Feed (feed_new): Stream the newest job openings across 434 ATS sources sorted by first_seen_at DESC.
Recently Updated Jobs Feed (feed_updated): Track salary changes, location expansions, or description updates.
Closed Jobs Feed (feed_closed): Identify filled roles and hiring velocity (2x debounce verified).
Tech Stack & Buying Intent Search (tech_stack_intent): Find companies hiring for snowflake, databricks, kubernetes, pytorch, hubspot, soc2, or revops.

💰 Transparent Pay-Per-Result Pricing (Zero Proxy or Add-On Fees)

You only pay per delivered Hiring Signal Result — empty searches, deduplicated items, and failed lookups cost $0.00:

Apify Plan Tier	Price per 1,000 Results	Proxy / Compute Add-Ons
Free / Starter	$0.35 / 1K	$0 (Included)
Bronze	$0.30 / 1K	$0 (Included)
Silver	$0.28 / 1K	$0 (Included)
Gold / Platinum / Diamond	$0.25 / 1K	$0 (Included)

📥 Input Parameters

Parameter	Type	Default	Description
`mode`	`string`	`feed_new`	Choose whether to stream real-time Newly Posted / Updated / Closed job feeds or search by specific Tech Stack / Buying Intent keywords.
`techStackSkills`	`string`	`python,kubernetes`	Filter jobs mentioning specific technologies or tools in their stack (e.g. "python,pytorch,snowflake,kubernetes,terraform,salesforce").
`intentQuery`	`string`	—	Optional role or GTM buying signal keyword (e.g. "ai engineer", "revops", "security compliance", "data platform").
`country`	`string`	`US`	Optional ISO-2 country code (e.g. "US", "GB", "CA").
`source`	`string`	—	Optional ATS platform slug (e.g. "greenhouse", "ashby", "lever", "workday").
`maxSignals`	`integer`	`50`	Maximum number of hiring signal records to output.

Quick-Start JSON Input Example

{
  "mode": "feed_new",
  "techStackSkills": "python,kubernetes",
  "country": "US",
  "maxSignals": 50
}

⚡ API, SDK & No-Code Workflow Integrations

Direct REST API & SDKs: Run via apify-client in Python or Node.js / TypeScript and export clean JSON, CSV, Excel, or Parquet datasets.
No-Code Automation Ready: Plug directly into n8n, Make.com, Clay, Zapier, Google Sheets, or LangChain / LlamaIndex RAG pipelines with zero residential proxy configuration and only 256 MB RAM compute overhead.

Actor	Price (Gold – Free)	Best For
ATS Jobs Scraper API (Workday, Greenhouse, Lever)	$0.25 – $0.35 / 1K	434 ATS boards with full descriptions, USD salaries & skills
Career Page Jobs Scraper (By Company Domain)	$0.25 – $0.35 / 1K	All open roles for any domain with live ATS board refresh
Company ATS Detector & Job Board Finder	$0.30 – $0.50 / 1K	Resolve any company domain to its ATS platform & board token
Tweet Scraper (X / Twitter)	$0.18 – $0.25 / 1K	Trusted by 41,000+ developers · High-speed tweets & search
LinkedIn Profile Scraper (No Cookie)	$2.50 – $3.00 / 1K	Full work history, education, skills & headline without login
LinkedIn Company Employees Scraper (No Cookie)	$1.50 – $2.00 / 1K	Decision-makers & org charts by company domain + title filter
LinkedIn People Search & Lead Finder (No Cookie)	$2.00 – $2.50 / 1K	Find B2B prospects by job title, keyword, or company domain
LinkedIn Jobs Scraper (No Cookie)	$1.20 – $1.50 / 1K	Real-time LinkedIn job openings by keyword & location
LinkedIn Company Profile Scraper (No Cookie)	$2.00 – $2.50 / 1K	Headcount, HQ, industry, website, recent posts & open roles
LinkedIn Posts & Keyword Search Scraper	$1.50 – $2.00 / 1K	Public profile posts, company updates & keyword social listening

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