Company Public Web Firmographics & Schema Profiler
Pricing
$3.00 / 1,000 extracted data record / events
Company Public Web Firmographics & Schema Profiler
Extract public corporate firmographics, employee size ranges, industries, and verified website domains. Export enriched B2B company accounts to CSV & JSON. Zero proxies, fast execution. Zapier ready. PPE ($0.003/item with 10 free records).
Pricing
$3.00 / 1,000 extracted data record / events
Rating
0.0
(0)
Developer
Deepak Sheoran
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days 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.
Company Public Web Firmographics & Schema Profiler 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 extract public linkedin company metadata, headquarters, industry, and employee growth tier via public ssr data. or needs structured JSON data for linkedin-public-company-profiler without browser overhead or manual cleanup."
Claude Desktop / Cursor claude_desktop_config.json Snippet:
{"mcpServers": {"linkedin-public-company-profiler": {"command": "npx","args": ["-y", "@apify/mcp-server-apify"],"env": {"APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"}}}}
💰 Unit Economics & Cost Comparison
| Feature | Company Public Web Firmographics & Schema Profiler | Traditional Puppeteer / Playwright Scraper |
|---|---|---|
| Residential Proxy Bandwidth | $0.00 (Zero Proxy Tax) | $12.00 – $25.00 / GB |
| Execution Memory Required | 256MB – 512MB RAM | 2048MB – 4096MB RAM |
| Pricing Model | $0.003 / record (Pay-Per-Event) | Monthly SaaS / Expensive Compute Runtime |
| Failure Billing Policy | Zero-Charge on Error ($0.00) | Billed for full runtime on crash |
| Execution Speed | 2–5 Seconds | 45–120 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-public-company-profiler/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{}'
2. Python (apify-client)
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run_input = {}# Start Actor run and wait for completionrun = client.actor("deepaksheoran172/linkedin-public-company-profiler").call(run_input=run_input)# Fetch structured dataset recordsitems = client.dataset(run["defaultDatasetId"]).list_items().itemsfor 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-public-company-profiler/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.
| Parameter | Type | Default | Description |
|---|---|---|---|
companySlugs | array | ['stripe', 'figma', 'notionhq', 'datadog', 'snowflake', 'cloudflare', 'mongodb', 'hubspot', 'atlassian', 'zoom'] | Configures LinkedIn Company Slugs for the extraction execution. Provide a valid input matching expected parameters or leave default to run automated scan. |
proxyConfiguration | object | {'useApifyProxy': False} | Apify Proxy configuration object to route network requests. Uses zero-cost direct HTTP connections by default without proxy fees. |
maxItems | integer | 25 | Maximum 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 Name | Type | Description |
|---|---|---|
companySlug | string | Company vanity URL slug. |
industry | string | Primary industry. |
sizeRange | string | Employee headcount band (e.g. 1000-5000). |
website | string | Corporate website link. |
❓ 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