# Find hotel companies by city for booking and agency research

**Use case:** 

Find hotel companies by city and inspect public contacts, booking routes, website technology and ten buyer perspectives. London example; source-linked JSON, CSV and HTML. Source coverage varies.

## Input

```json
{
  "websites": [
    "https://www.iana.org/"
  ],
  "dataset_website_field": "website",
  "buyer_profile": "hospitality_tech",
  "buyer_profiles": [
    "general",
    "recruiting",
    "web_agency",
    "automation_agency",
    "seo_agency",
    "ecommerce_agency",
    "crm_consulting",
    "analytics_consulting",
    "customer_support",
    "hospitality_tech"
  ],
  "contact_requirement": "any",
  "min_opportunity_score": 0,
  "exclude_domains": [],
  "sector": "hotels",
  "cities": [
    "London"
  ],
  "country_code": "GB",
  "radius_km": 3,
  "language": "en",
  "max_results": 4,
  "max_requests": 45,
  "max_pages_per_company": 3,
  "timeout_seconds": 75,
  "paid_provider": "none",
  "max_paid_requests": 0,
  "ai_provider": "none",
  "include_web_experience": false,
  "max_crux_calls": 5,
  "max_ai_calls": 0,
  "max_output_tokens": 500,
  "include_jobs": true,
  "job_keywords": [],
  "job_max_age_days": 0,
  "max_jobs_per_company": 10,
  "max_job_requests_per_company": 2,
  "require_jobs": false,
  "employer_filter": "all",
  "check_email_domains": false,
  "max_email_domain_checks": 10,
  "monitor_id": "",
  "only_changes": false,
  "location_provider": "offline",
  "registry_provider": "none",
  "max_registry_requests": 0,
  "free_source_mode": "resilient",
  "signal_match": "all",
  "include_crm_review": true,
  "include_documents": false,
  "max_documents_per_company": 1,
  "max_document_pages": 3,
  "include_browser": false,
  "browser_timeout_seconds": 15
}
```

## Output

```json
{
  "name": {
    "label": "Company",
    "format": "string"
  },
  "sector": {
    "label": "Sector",
    "format": "string"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "website": {
    "label": "Website",
    "format": "string"
  },
  "phone": {
    "label": "Phone",
    "format": "string"
  },
  "emails": {
    "label": "Emails",
    "format": "array"
  },
  "lead_score": {
    "label": "Research score (not buying intent)",
    "format": "integer"
  },
  "lead_score_reason": {
    "label": "Lead score reason",
    "format": "string"
  },
  "website_status": {
    "label": "Website status",
    "format": "string"
  },
  "source_url": {
    "label": "Source",
    "format": "string"
  },
  "retrieved_at": {
    "label": "Retrieved at",
    "format": "string"
  },
  "attribution": {
    "label": "Attribution",
    "format": "string"
  },
  "registry_status": {
    "label": "Registry status",
    "format": "string"
  },
  "registry_candidates": {
    "label": "Registry candidates",
    "format": "array"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Local Business Leads & Email Finder for Agencies Actor is ready to run with the inputs already set for "Find hotel companies by city for booking and agency research". [Sign up or log in](https://console.apify.com/create-task-from-example/f4KFrU1LweWsr9eug) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find hotel companies by city for booking and agency research" task

The Local Business Leads & Email Finder for Agencies Actor will start running based on the input automatically. You can also change all the input fields, like import company websites, dataset company website field, and more, to match your specific use case.

### 3. Receive the "Find hotel companies by city for booking and agency research" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as company, sector, city, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Find hotel companies by city for booking and agency research" task via API](https://apify.com/ryanbot_research/ryanbot-company-research.md).

## FAQ

### Do I need an existing company list?

No list needed. Change city, country, sector and radius. The London example discovers candidates from available public sources and inspects reachable websites. Coverage varies; results can be partial or empty.

### Which teams can use the report?

All ten perspectives are selected: B2B, recruiting, web, automation, SEO, commerce, CRM, analytics, support and booking. They share source-backed evidence. Missing findings stay explicit; a tool or booking link does not prove buying intent.

### What does running this example cost?

Normal report, start and Apify usage fees apply on your account. Saved limits: $0.05/run, 256 MB, 120 seconds. No paid search or AI, no schedule. Start/usage costs may apply even when no report qualifies.

## About this Actor

This example demonstrates how to use [Local Business Leads & Email Finder for Agencies](https://apify.com/ryanbot_research/ryanbot-company-research.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/ryanbot_research/ryanbot-company-research.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/ryanbot_research/ryanbot-company-research.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).