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Hiring Company Career Portal & Domain Enricher

Pricing

$3.00 / 1,000 extracted data record / events

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Hiring Company Career Portal & Domain Enricher

Hiring Company Career Portal & Domain Enricher

Extract hiring company career portals, estimated domains, and executive HR email patterns from public job signals. Export verified B2B hiring leads to CSV & JSON. Zero proxies required. Zapier ready. PPE ($0.003/item with 10 free preview records).

Pricing

$3.00 / 1,000 extracted data record / events

Rating

0.0

(0)

Developer

Deepak Sheoran

Deepak Sheoran

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

a day ago

Last modified

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⚡ Value Proposition: High-Agency Engineering vs Legacy Scrapers

Most data collection scrapers waste your budget by spinning up heavy headless browsers (Chrome/Puppeteer), demanding expensive $15/GB residential proxies, and crashing when layouts change.

Hiring Company Career Portal & Domain Enricher is architected for production reliability:

  • Zero Proxy Tax ($0.00): Executes via direct, hyper-optimized asynchronous HTTP/DNS connections in < 512MB RAM.
  • Pay-Per-Event Predictability: You only pay for verified, delivered records ($0.003 / record).
  • Zero-Charge-on-Error Guarantee: Upstream outages, empty deltas, or unresolvable targets emit diagnostic baseline records completely free ($0.00).
  • Sub-5 Second Turnaround: Pure REST/HTTP pipelines deliver datasets in seconds rather than minutes.

🤖 AI Agent & Model Context Protocol (MCP) Integration

This Actor is packaged as an AI-first tool compatible with Claude Desktop, Cursor IDE, Windsurf, and LangChain / CrewAI agentic workflows.

Agent Trigger Rule:

"Use this tool when the user requests identify companies actively posting jobs on linkedin and enrich each company with corporate domains and recruiter email patterns. or needs structured JSON data for linkedin-hiring-company-lead-enricher without browser overhead or manual cleanup."

Claude Desktop / Cursor claude_desktop_config.json Snippet:

{
"mcpServers": {
"linkedin-hiring-company-lead-enricher": {
"command": "npx",
"args": ["-y", "@apify/mcp-server-apify"],
"env": {
"APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"
}
}
}
}

💰 Unit Economics & Cost Comparison

FeatureHiring Company Career Portal & Domain EnricherTraditional Puppeteer / Playwright Scraper
Residential Proxy Bandwidth$0.00 (Zero Proxy Tax)$12.00 – $25.00 / GB
Execution Memory Required256MB – 512MB RAM2048MB – 4096MB RAM
Pricing Model$0.003 / record (Pay-Per-Event)Monthly SaaS / Expensive Compute Runtime
Failure Billing PolicyZero-Charge on Error ($0.00)Billed for full runtime on crash
Execution Speed2–5 Seconds45–120 Seconds

⚡ 1-Click Integration Blueprints

1. Sync Execution via cURL / REST API

Run the Actor synchronously and retrieve dataset records immediately in one HTTP call:

curl -X POST "https://api.apify.com/v2/acts/deepaksheoran172~linkedin-hiring-company-lead-enricher/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{}'

2. Python (apify-client)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {}
# Start Actor run and wait for completion
run = client.actor("deepaksheoran172/linkedin-hiring-company-lead-enricher").call(run_input=run_input)
# Fetch structured dataset records
items = client.dataset(run["defaultDatasetId"]).list_items().items
for record in items:
print(record)

3. n8n / Make.com Webhook Automation

  • Node Type: HTTP Request Node
  • Method: POST
  • URL: https://api.apify.com/v2/acts/deepaksheoran172~linkedin-hiring-company-lead-enricher/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN
  • Headers: Content-Type: application/json
  • Body: Raw JSON {}

📥 Input Parameters

All properties feature built-in defaults; providing an empty object {} triggers a reliable default scan.

ParameterTypeDefaultDescription
companiesarray['Stripe', 'Airbnb', 'Datadog', 'Snowflake', 'Cloudflare', 'MongoDB', 'HubSpot', 'Atlassian', 'Figma', 'Notion']Configures Target Companies for the extraction execution. Provide a valid input matching expected parameters or leave default to run automated scan.
proxyConfigurationobject{'useApifyProxy': False}Apify Proxy configuration object to route network requests. Uses zero-cost direct HTTP connections by default without proxy fees.
maxItemsinteger25Maximum total records to extract and deliver to the output dataset during this run (for example 50 or 100 records) to govern compute time and data volume.

📤 Output Dataset Specification

Output records strictly adhere to the official Apify dataset schema:

Field NameTypeDescription
careersUrlstringDirect corporate careers URL.
companyNamestringCompany name.
estimatedDomainstringResolved corporate web domain.
hrEmailPatternstringDiscovered executive email pattern (e.g. first.last@company.com).

❓ Frequently Asked Questions (FAQ)

Q: How does Pay-Per-Event (PPE) pricing protect my budget?

A: Unlike compute-time billing where you pay while waiting for slow responses, Pay-Per-Event charges only for legitimate data rows delivered. If an upstream service is down, the Actor pushes a diagnostic status record and does not bill you.

Q: Can I run this on a recurring schedule?

A: Yes! Use Apify's built-in Scheduler (Cron), or trigger it via Zapier, Make.com, or n8n on a daily, weekly, or hourly cadence.

Q: Are external proxies or browser engines required?

A: No. All requests use lightweight, high-performance asynchronous HTTP networking. There is zero proxy markup and zero browser overhead.


🔍 High-Intent Search & Buyer Keywords

b2b lead enrichment, clay.com alternative, n8n http request scraper, bulk email mx smtp validator, cold email lead cleaner, executive email finder, zero-proxy API