# Check which tests each lab offers from an Excel list

**Use case:** 

Upload a spreadsheet of laboratories (name, address, phone) and the AI searches the web for each one, then answers yes, no or unknown for every test on your checklist, with an evidence sentence and a source link per answer. You get your own file back with the answers as new columns, instead of pasting each lab into Google's AI search by hand.

## Input

```json
{
  "prompts": [
    "Laboratory: {{Lab Name}}, {{Address}}, phone {{Phone}}. Which of the checklist tests does this lab offer?"
  ],
  "spreadsheet_file": "https://api.apify.com/v2/key-value-stores/I40EWpLzQaVq08gCm/records/labs-sample.csv",
  "checklist_items": [
    "HbA1c (hemoglobin A1c)",
    "Lipid panel",
    "Vitamin D 25-hydroxy",
    "Paternity DNA test"
  ],
  "system_prompt": "You are a helpful, accurate assistant. Use the available tools when they would improve the answer.",
  "model": "google/gemini-2.5-flash",
  "enable_web_search": true,
  "enable_file_parser": false,
  "temperature": 70,
  "max_tokens": 2000,
  "response_format": "json_object",
  "reasoning_effort": "default",
  "provider_sort": "default",
  "max_retries": 2,
  "concurrency": 4
}
```

## Output

```json
{
  "prompt": {
    "label": "Prompt",
    "format": "text"
  },
  "model": {
    "label": "Model",
    "format": "text"
  },
  "response": {
    "label": "Response",
    "format": "text"
  },
  "tools_used": {
    "label": "Tools used",
    "format": "array"
  },
  "cost_usd": {
    "label": "Cost (USD)",
    "format": "number"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Run ChatGPT, Claude, Gemini & DeepSeek in Bulk (No API Key)](https://apify.com/fayoussef/bulk-llm-runner.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/fayoussef/bulk-llm-runner.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/fayoussef/bulk-llm-runner.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`).