# Compare three research queries

**Use case:** 

Search three public research queries in one run and get ranked pages as Markdown for each. Replace the sample queries with your list. Read each query status before using the pages in your research workflow.

## Input

```json
{
  "queries": [
    "vector database benchmarks 2026",
    "RAG reranking models",
    "open source embedding models"
  ],
  "maxResultsPerQuery": 3,
  "outputFormats": [
    "markdown"
  ],
  "deduplicateUrls": false,
  "requestTimeoutSecs": 40
}
```

## Output

```json
{
  "query": {
    "label": "Query",
    "format": "string"
  },
  "query_index": {
    "label": "Query index",
    "format": "integer"
  },
  "rank": {
    "label": "Rank",
    "format": "integer"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "search_result": {
    "label": "Search result",
    "format": "object"
  },
  "fetch": {
    "label": "Fetch",
    "format": "object"
  },
  "markdown": {
    "label": "Markdown",
    "format": "string"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "source_url": {
    "label": "Source URL",
    "format": "string"
  },
  "scraped_at": {
    "label": "Observed",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Batch RAG Web Search - 100 Queries to Markdown](https://apify.com/automa-flow/batch-rag-web-search.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automa-flow/batch-rag-web-search.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/automa-flow/batch-rag-web-search.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`).