# Qualified immunity opinions

**Use case:** 

A preconfigured run of CourtListener Scraper — US Case Law: Qualified immunity opinions. Input — mode: opinions · query: qualified immunity · type: o. Results are returned as JSON rows in the default dataset; run it as-is or change the input and run your own.

## Input

```json
{
  "mode": "opinions",
  "query": "qualified immunity",
  "type": "o",
  "maxResults": 100
}
```

## Output

```json
{
  "caseName": {
    "label": "Case Name"
  },
  "caseNameFull": {
    "label": "Case Name Full"
  },
  "court": {
    "label": "Court"
  },
  "courtId": {
    "label": "Court Id"
  },
  "dateFiled": {
    "label": "Date Filed"
  },
  "dateArgued": {
    "label": "Date Argued"
  },
  "docketNumber": {
    "label": "Docket Number"
  },
  "citations": {
    "label": "Citations"
  },
  "neutralCite": {
    "label": "Neutral Cite"
  },
  "citeCount": {
    "label": "Cite Count"
  },
  "status": {
    "label": "Status"
  },
  "judge": {
    "label": "Judge"
  }
}
```

## About this Actor

This example demonstrates how to use [CourtListener Scraper — US Case Law](https://apify.com/ponderable_hydrometer/courtlistener-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/ponderable_hydrometer/courtlistener-scraper.md) to learn more, explore other use cases, and run it yourself.


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

- **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`.
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/ponderable_hydrometer/courtlistener-scraper.md

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).
