# Clinic Reception Gap Lead Finder (`zinin/clinic-reception-gap-lead-finder`) Actor

Analyze submitted clinic websites for reception-channel gaps with exact BYOD crawling and no discovery.

- **URL**: https://apify.com/zinin/clinic-reception-gap-lead-finder.md
- **Developed by:** [Tim Zinin](https://apify.com/zinin) (community)
- **Categories:** MCP servers, Lead generation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Clinic Reception Gap Lead Finder

Analyze buyer-submitted clinic websites for observable reception-channel gaps and return evidence-backed rows only when the submitted clinic identity or a structured business identity is actually observed. The actor stays on each submitted host, reads public pages, and never invents missing page evidence.

### What you get

- One ranked row per qualifying submitted clinic website.
- Observed signals for online booking, chat, contact forms, business hours, and phone-only reception.
- Public phone values, structured identity evidence, DOM/text excerpts, and source metrics.
- Robots-first crawling, same-host redirect checks, DNS SSRF protection, body limits, retries, and deadlines.
- Request replay, conflict, freshness cache, compact OUTPUT, and bounded result delivery.
- Runs on Apify: schedule it, monitor it, call it from the API, and export JSON, CSV, or Excel.

### How to run it

1. Click Try for free and open the Input tab.
2. Submit clinic records with recordId, name, and an absolute HTTP or HTTPS websiteUrl; address is optional.
3. Click Start, then read useful rows from the Dataset and the run envelope from the OUTPUT key-value record.

### Pricing

Pay-per-event: $0.005 per run start + $0.05 per useful result. No monthly seat. Invalid inputs, source failures, generic pages without identity, budget stops, and undelivered rows are not useful-result charges. Ten useful rows cost $0.50 in result events, plus the start event.

### Input

```
{"schemaVersion":"1.0","requestId":"clinic-demo-001","maxResults":10,"freshnessMinutes":60,"detailLevel":"evidence","minGapScore":40,"clinics":[{"recordId":"clinic-001","name":"Mayo Clinic","websiteUrl":"https://www.mayoclinic.org/","address":null}]}
```

### Output

```
{"schemaVersion":"1.0","requestId":"clinic-demo-001","status":"ok","results":[{"dedupeKey":"stable-key","rank":1,"score":60}],"errors":[],"metadata":{"resultCount":1,"datasetWriteCount":1,"billedResultCount":1}}
```

Useful Dataset rows include clinicName, websiteUrl, signals, gapScore, evidenceCoverage, evidence, componentEvidence, and sourceMetrics.

#### Related tools

Related tools for adjacent workflows in operational gap-lead generation.

| Actor | What it does |
|---|---|
| [Restaurant Booking Gap Lead Finder](https://apify.com/zinin/restaurant-booking-gap-lead-finder) | Pair it in the operational gap-lead generation workflow: Analyze submitted restaurant websites for booking-channel gaps with exact BYOD crawling and no discovery |
| [EU Accessibility Privacy Lead Scanner](https://apify.com/zinin/eu-accessibility-privacy-lead-scanner) | Pair it in the operational gap-lead generation workflow: BYOD compliance scanner for observed accessibility and privacy exposure signals on a submitted URL.... |
| [EU AI Act Transparency Lead Scanner](https://apify.com/zinin/eu-ai-act-transparency-lead-scanner) | Pair it in the operational gap-lead generation workflow: BYOD compliance scanner for observed AI transparency signals on a submitted URL. Deterministic,... |
| [New Opening Permit Lead Radar](https://apify.com/zinin/new-opening-permit-lead-radar) | Pair it in the operational gap-lead generation workflow: Detect commercial permit and license openings from five fixed Socrata datasets and return evidence-backed... |

### FAQ / Limitations

**Does it discover clinics?** No. You provide the websites; it does not search maps, directories, reviews, or private systems.

**Why did a page return no useful row?** The page must be substantive and show either the submitted identity or a structured public business identity. Generic category text is not billable evidence.

**Can it book appointments?** No. It only reads public HTML, links, and structured data. It never logs in, submits forms, or books.

**What is this not?** It is not medical advice, a patient-data service, a compliance audit, or proof that a clinic has no reception option.

**How is duplicate work controlled?** Cloud runs use the named RequestQueue unique key; local storage tests verify persistence, while local RequestQueue concurrency remains a platform-specific residual.

**Need help?** Review OUTPUT.errors, confirm the website is public, and include the request ID when reporting a problem on the Actor page.

# Actor input Schema

## `schemaVersion` (type: `string`):

Input schema version.

## `requestId` (type: `string`):

Correlation key for this run.

## `maxResults` (type: `integer`):

Maximum useful rows to bill and return.

## `freshnessMinutes` (type: `integer`):

Cache freshness window in minutes.

## `detailLevel` (type: `string`):

Compact or evidence-rich output.

## `minGapScore` (type: `integer`):

Minimum score for a useful clinic lead.

## `clinics` (type: `array`):

Buyer-submitted clinic websites to analyze.

## Actor input object example

```json
{
  "schemaVersion": "1.0",
  "requestId": "clinic-daily-prefill-001",
  "maxResults": 10,
  "freshnessMinutes": 60,
  "detailLevel": "compact",
  "minGapScore": 40,
  "clinics": [
    {
      "recordId": "clinic-prefill-001",
      "name": "Mayo Clinic",
      "websiteUrl": "https://www.mayoclinic.org/",
      "address": null
    }
  ]
}
```

# Actor output Schema

## `OUTPUT` (type: `string`):

JSON-encoded compact OUTPUT envelope.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "requestId": "clinic-daily-prefill-001",
    "clinics": [
        {
            "recordId": "clinic-prefill-001",
            "name": "Mayo Clinic",
            "websiteUrl": "https://www.mayoclinic.org/",
            "address": null
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("zinin/clinic-reception-gap-lead-finder").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "requestId": "clinic-daily-prefill-001",
    "clinics": [{
            "recordId": "clinic-prefill-001",
            "name": "Mayo Clinic",
            "websiteUrl": "https://www.mayoclinic.org/",
            "address": None,
        }],
}

# Run the Actor and wait for it to finish
run = client.actor("zinin/clinic-reception-gap-lead-finder").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "requestId": "clinic-daily-prefill-001",
  "clinics": [
    {
      "recordId": "clinic-prefill-001",
      "name": "Mayo Clinic",
      "websiteUrl": "https://www.mayoclinic.org/",
      "address": null
    }
  ]
}' |
apify call zinin/clinic-reception-gap-lead-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=zinin/clinic-reception-gap-lead-finder",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/VWfU6UryNKVcLkdmL/builds/WNBcsRsOYUUp20w7d/openapi.json