Entity OSINT Enricher - Company Intelligence

Premium OSINT intelligence for any company or entity. Get sanctions screening, corporate registry data, news sentiment, and website contacts -- all in one API call at $0.025 per entity.

Enterprise OSINT platforms charge $10,000-$50,000+/year. This does the same core intelligence work for pennies.

---

How It Works

flowchart LR
    A["Entity Names\n(companies, people)"] --> B["Sanctions\nScreening\n(OFAC SDN)"]
    B --> C["Corporate\nRegistry\n(OpenCorporates)"]
    C --> D["News\nSentiment\n(Google News)"]
    D --> E["Contact\nExtraction\n(Website)"]
    E --> F["OSINT\nReport"]

    style A fill:#1a1a2e,stroke:#e94560,color:#fff
    style B fill:#16213e,stroke:#e94560,color:#fff
    style C fill:#16213e,stroke:#0f3460,color:#fff
    style D fill:#16213e,stroke:#0f3460,color:#fff
    style E fill:#16213e,stroke:#0f3460,color:#fff
    style F fill:#1a1a2e,stroke:#00d2ff,color:#fff

4 Enrichment Modules

Module	Source	What You Get
Sanctions Screening	OFAC SDN List (18,000+ entries)	Fuzzy-matched sanctions hits with confidence scores, programs, aliases
Corporate Registry	OpenCorporates (180+ jurisdictions)	Legal name, jurisdiction, status, registration number, incorporation date
News Sentiment	Google News RSS	Recent articles with positive/negative/neutral sentiment + overall summary
Contact Extraction	Entity Website	Emails, phone numbers, LinkedIn, Twitter, Facebook profiles

Each module can be toggled independently. Only enable what you need.

---

Architecture

flowchart TB
    subgraph Input
        IN["Entity Names Array"]
        CFG["Module Toggles\n& Configuration"]
    end

    subgraph Processing["Enrichment Engine"]
        direction TB
        OFAC["OFAC SDN Parser\n(fast-xml-parser)"]
        FUZZ["Fuzzy Matcher\n(Fuse.js + suffix stripping)"]
        CORP["OpenCorporates\nAPI Client"]
        NEWS["Google News RSS\nAggregator"]
        SENT["Keyword Sentiment\nAnalyzer"]
        WEB["HTTP Crawler\n(homepage + /contact)"]
        CONT["Contact Extractor\n(regex: emails, phones, social)"]
        RISK["Risk Score\nCalculator"]
    end

    subgraph Output
        DS["Apify Dataset\n(structured JSON)"]
        KV["Key-Value Store\n(summary report)"]
    end

    IN --> OFAC --> FUZZ
    IN --> CORP
    IN --> NEWS --> SENT
    IN --> WEB --> CONT
    CFG -.-> Processing

    FUZZ --> RISK
    CORP --> RISK
    SENT --> RISK
    CONT --> RISK
    RISK --> DS
    DS --> KV

    style Processing fill:#0d1117,stroke:#30363d,color:#c9d1d9
    style Input fill:#161b22,stroke:#30363d,color:#c9d1d9
    style Output fill:#161b22,stroke:#30363d,color:#c9d1d9

---

For AI Agents & Developers

This actor returns structured JSON optimized for LLM consumption, AI agent pipelines, and automated compliance workflows. Compatible with the Apify MCP Server for Claude, GPT, CrewAI, and LangChain agents.

JavaScript (Node.js)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('george.the.developer/entity-osint-enricher').call({
    entities: ['Huawei Technologies', 'Gazprom', 'Apple Inc'],
    enableSanctions: true,
    enableCorporateRegistry: true,
    enableNews: true,
    enableContacts: true,
    matchThreshold: 70,
    maxNewsArticles: 10,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();

for (const entity of items) {
    console.log(`\n=== ${entity.entity} | Risk: ${entity.overallRiskLevel} ===`);

    if (entity.sanctions?.isSanctioned) {
        console.log(`  SANCTIONS HIT: ${entity.sanctions.matches.length} match(es)`);
        console.log(`  Top confidence: ${entity.sanctions.topConfidence}%`);
    }

    if (entity.corporate?.status) {
        console.log(`  Registry: ${entity.corporate.jurisdiction} - ${entity.corporate.status}`);
    }

    if (entity.news?.articleCount) {
        console.log(`  News: ${entity.news.articleCount} articles (${entity.news.sentiment.summary})`);
    }

    if (entity.contacts?.emails?.length) {
        console.log(`  Emails: ${entity.contacts.emails.join(', ')}`);
    }
}

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("george.the.developer/entity-osint-enricher").call(run_input={
    "entities": ["Huawei Technologies", "Gazprom", "Apple Inc"],
    "enableSanctions": True,
    "enableCorporateRegistry": True,
    "enableNews": True,
    "enableContacts": True,
    "matchThreshold": 70,
    "maxNewsArticles": 10,
})

items = client.dataset(run["defaultDatasetId"]).list_items().items

for entity in items:
    print(f"\n=== {entity['entity']} | Risk: {entity['overallRiskLevel']} ===")

    sanctions = entity.get("sanctions", {})
    if sanctions.get("isSanctioned"):
        print(f"  SANCTIONS HIT: {len(sanctions['matches'])} match(es)")
        for match in sanctions["matches"]:
            print(f"    - {match['matchedName']} ({match['confidence']}%)")

    corporate = entity.get("corporate", {})
    if corporate.get("status"):
        print(f"  Registry: {corporate['jurisdiction']} - {corporate['status']}")

    news = entity.get("news", {})
    if news.get("articleCount"):
        print(f"  News: {news['articleCount']} articles ({news['sentiment']['summary']})")

    contacts = entity.get("contacts", {})
    if contacts.get("emails"):
        print(f"  Emails: {', '.join(contacts['emails'])}")

cURL

# Start the actor run
curl -X POST \
  "https://api.apify.com/v2/acts/george.the.developer~entity-osint-enricher/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "entities": ["Huawei Technologies", "Gazprom"],
    "enableSanctions": true,
    "enableCorporateRegistry": true,
    "enableNews": true,
    "enableContacts": true,
    "matchThreshold": 70,
    "maxNewsArticles": 10
  }'

# Poll for completion, then fetch results (replace DATASET_ID from run response)
curl "https://api.apify.com/v2/datasets/DATASET_ID/items?token=YOUR_APIFY_TOKEN"

---

Input Schema

flowchart LR
    subgraph Required["Required"]
        E["entities\nstring[]"]
    end

    subgraph Modules["Module Toggles"]
        S["enableSanctions\ndefault: true"]
        C["enableCorporateRegistry\ndefault: true"]
        N["enableNews\ndefault: true"]
        CT["enableContacts\ndefault: true"]
    end

    subgraph Config["Configuration"]
        MT["matchThreshold\n40-100, default: 70"]
        MN["maxNewsArticles\n1-50, default: 10"]
        PX["proxyConfiguration\noptional"]
    end

    Required --> Modules --> Config

    style Required fill:#d63384,stroke:#fff,color:#fff
    style Modules fill:#0d6efd,stroke:#fff,color:#fff
    style Config fill:#6610f2,stroke:#fff,color:#fff

Parameters

Parameter	Type	Required	Default	Description
entities	string[]	Yes	--	Company names or domains to investigate
enableSanctions	boolean	No	true	Screen against OFAC SDN sanctions list (fuzzy match)
enableCorporateRegistry	boolean	No	true	Lookup OpenCorporates registry data (180+ jurisdictions)
enableNews	boolean	No	true	Aggregate recent Google News articles with sentiment
enableContacts	boolean	No	true	Extract website contacts (emails, phones, social)
matchThreshold	integer	No	70	Sanctions fuzzy match confidence threshold (40-100)
maxNewsArticles	integer	No	10	Max news articles to retrieve per entity (1-50)
proxyConfiguration	object	No	--	Apify proxy config for website scraping

Example Input

{
    "entities": ["Huawei Technologies", "Gazprom", "Apple Inc"],
    "enableSanctions": true,
    "enableCorporateRegistry": true,
    "enableNews": true,
    "enableContacts": true,
    "matchThreshold": 70,
    "maxNewsArticles": 10
}

---

Output Format

Each entity produces a comprehensive OSINT report with computed risk level:

{
    "entity": "Huawei Technologies",
    "displayName": "Huawei Technologies",
    "overallRiskLevel": "MEDIUM",
    "sanctions": {
        "isSanctioned": true,
        "riskLevel": "MEDIUM",
        "topConfidence": 72,
        "matches": [
            {
                "matchedName": "HUAWEI TECHNOLOGIES CO., LTD.",
                "confidence": 72,
                "programs": ["CHINA-EO13959"],
                "aliases": ["HUAWEI"],
                "entityType": "entity"
            }
        ],
        "sdnListDate": "03/09/2026"
    },
    "corporate": {
        "legalName": "HUAWEI TECHNOLOGIES CO., LTD.",
        "companyNumber": "440301503201952",
        "jurisdiction": "CN",
        "status": "Active",
        "incorporationDate": "1987-09-15",
        "companyType": "Limited Liability Company",
        "registeredAddress": "Bantian, Longgang District, Shenzhen",
        "source": "Shenzhen Administration for Market Regulation"
    },
    "news": {
        "articleCount": 10,
        "sentiment": {
            "summary": "Predominantly neutral",
            "negative": 2,
            "positive": 3,
            "neutral": 5
        },
        "articles": [
            {
                "title": "Huawei launches new chip production facility",
                "source": "Reuters",
                "publishedAt": "Mon, 10 Mar 2026 14:30:00 GMT",
                "snippet": "Huawei Technologies announced plans to expand..."
            }
        ]
    },
    "contacts": {
        "emails": ["support@huawei.com"],
        "phones": ["+1-972-882-8888"],
        "socialMedia": {
            "linkedin": "https://linkedin.com/company/huawei",
            "twitter": "https://twitter.com/Huawei"
        }
    },
    "enrichedAt": "2026-03-22T12:00:00.000Z"
}

Output Fields Reference

Field	Description
overallRiskLevel	Computed risk: CRITICAL, HIGH, MEDIUM, LOW, or CLEAR
sanctions.isSanctioned	Whether entity matches OFAC SDN list
sanctions.topConfidence	Highest fuzzy match confidence score (%)
sanctions.matches[].programs	Sanctions programs (e.g., CHINA-EO13959)
corporate.status	Registration status: Active, Dissolved, Struck Off
corporate.jurisdiction	Country/state of incorporation
news.sentiment.summary	Overall sentiment: Predominantly positive/negative/neutral/mixed
contacts.emails	Discovered email addresses
contacts.socialMedia	LinkedIn, Twitter, Facebook, YouTube profiles

---

Use Cases

mindmap
  root((Entity OSINT\nEnricher))
    Compliance
      KYC / KYB checks
      OFAC sanctions screening
      Anti-money laundering
      Export control verification
      Vendor onboarding
    Due Diligence
      M&A target research
      Investor screening
      Partner background checks
      Pre-deal intelligence
    Lead Generation
      Prospect enrichment
      Contact discovery
      Company profiling
      Market mapping
    Risk Management
      Supply chain risk
      Reputation monitoring
      News sentiment tracking
      Geopolitical exposure
      Counterparty risk

---

Pricing

flowchart LR
    subgraph Cost["Flat Rate"]
        P["$0.025\nper entity enriched"]
    end

    subgraph Examples["Volume Examples"]
        E1["10 entities = $0.25"]
        E2["100 entities = $2.50"]
        E3["1,000 entities = $25"]
        E4["10,000 entities = $250"]
    end

    Cost --> Examples

    style Cost fill:#00c853,stroke:#fff,color:#000,font-weight:bold
    style Examples fill:#f5f5f5,stroke:#ccc,color:#333

Volume	Total Cost	Per Entity
1 entity	$0.025	$0.025
10 entities	$0.25	$0.025
100 entities	$2.50	$0.025
1,000 entities	$25.00	$0.025
10,000 entities	$250.00	$0.025

No subscriptions. No minimums. No hidden fees. Pay only for entities enriched.

---

Integrations

flowchart TB
    subgraph Sources["Trigger From"]
        API["REST API / cURL"]
        SDK["Apify SDK\n(JavaScript / Python)"]
        SCHED["Apify Scheduler\n(cron)"]
        WH["Webhooks"]
        ZAP["Zapier"]
        MAKE["Make / Integromat"]
        MCP["Apify MCP Server\n(AI Agents)"]
    end

    OSINT["Entity OSINT\nEnricher"]

    subgraph Destinations["Send Results To"]
        GS["Google Sheets"]
        S3["AWS S3 / GCS"]
        WH2["Webhook Endpoint"]
        SLACK["Slack / Teams"]
        DB["Database\n(PostgreSQL, MongoDB)"]
        CRM["CRM\n(Salesforce, HubSpot)"]
        LLM["LLM / AI Agent\n(Claude, GPT, CrewAI)"]
    end

    Sources --> OSINT --> Destinations

    style OSINT fill:#e94560,stroke:#fff,color:#fff,font-weight:bold
    style Sources fill:#161b22,stroke:#30363d,color:#c9d1d9
    style Destinations fill:#161b22,stroke:#30363d,color:#c9d1d9

---

Entity OSINT Enricher vs DIY

Capability	Entity OSINT Enricher	DIY Approach
Sanctions screening	Included (OFAC SDN, fuzzy match, 18K+ entries)	Download XML, parse, build fuzzy matcher
Corporate registry	Included (OpenCorporates, 180+ jurisdictions)	API key + custom integration per jurisdiction
News sentiment	Included (Google News + keyword analysis)	Build scraper + NLP sentiment pipeline
Contact extraction	Included (emails, phones, social profiles)	Crawler + regex patterns + ongoing maintenance
Risk scoring	Automatic (CRITICAL to CLEAR)	Build weighted scoring model
Setup time	0 minutes	2-4 weeks
Infrastructure	Managed (Apify cloud, auto-scaling)	Your servers, your maintenance
Data freshness	SDN list fetched live each run	Manual updates or scheduled jobs
Cost per entity	$0.025	$0.10-0.50+ (infra + engineering time)
Scalability	1 to 10,000+ entities per run	Limited by your infrastructure

---

FAQ

---

Data Sources

Source	Coverage	Update Frequency
OFAC SDN List	18,000+ sanctioned entities worldwide	Fetched live each run
OpenCorporates	180+ jurisdictions, 200M+ companies	Updated regularly
Google News RSS	Global news coverage	Real-time
Entity Websites	Direct HTTP extraction	Live on each run

---

Run on Apify  |  Built by george.the.developer