# Legal Opinion Citation Extractor (`skilled_glee/legal-opinion-citation-extractor`) Actor

Extract supported full case citations from plain-text court opinions with paragraph and available page provenance.

- **URL**: https://apify.com/skilled\_glee/legal-opinion-citation-extractor.md
- **Developed by:** [Dakota Myers](https://apify.com/skilled_glee) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 1,000 document with useful outputs

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Legal Opinion Citation Extractor

Give me plain UTF-8 opinion text, or a public HTTP(S) text URL, and I reliably return normalized supported full case citations with the exact source citation, offsets, paragraph number, and page number when the text uses form-feed page markers. Supported forms are full `Case v. Case, volume reporter page[, pinpoint] (court/year)` citations; unsupported patterns are omitted rather than claimed as normalized.

Submit one or more sources through the `items` array. Each item may contain `rawText`, `sourceUrl`, or `fileUrl`; `rawText` takes precedence when supplied. A failed item is isolated from successful siblings.

### Output and repeatability

The default dataset contains one record per supported citation. Records include stable document and citation identifiers, SHA-256 hashes, exact source offsets, source provenance, and deterministic citation order for identical input text.

The default key-value store record `SUMMARY` contains the aggregate run status, submitted-document count, total citation count, per-document outcomes, and a UTC `processedAt` timestamp. `processedAt` is volatile metadata; it is not part of stable citation identity.

Supported reporter spellings are limited to `U.S.`/`U. S.`, `S. Ct.`, `F.2d`, `F.3d`, `F.4th`, `F. Supp.`, `F. Supp. 2d`, `F. Supp. 3d`, and `Mass.`. The Actor removes the tested sentence lead-ins `See`, `In`, `Compare`, `Under`, `Accord`, and `Contra` from case names.

Limitations: it does not support short forms, id./supra, statutes, regulations, neutral citations, slip-opinion citation formats, parallel citations, ranges, en/em dashes in pinpoints, Bluebook completeness, OCR/PDF parsing, or jurisdiction-specific rules beyond the listed reporter forms. Unsupported reporter formats are omitted rather than returned as normalized.

### Billing and limits

One `document-converted` event is charged only after a document produces supported output saved to the dataset. Empty or failed documents are not charged. Platform costs are included; no start or automatic dataset-item charge. Up to 25 documents, 2 MB UTF-8 text per document, and a 120-second run timeout. The Actor stops at the spending limit. Public text downloads must be accessible without credentials.

Current price: USD $0.005 per useful document saved. Platform costs are included.

# Actor input Schema

## `items` (type: `array`):

One to 100 independently processed plain-text court opinions.

## Actor input object example

```json
{
  "items": [
    {
      "rawText": "1. The court follows Brown v. Board of Education, 347 U.S. 483, 495 (1954).",
      "sourceName": "apify-health-fixture"
    }
  ]
}
```

# Actor output Schema

## `citations` (type: `string`):

No description

## `summary` (type: `string`):

No description

# 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 = {
    "items": [
        {
            "rawText": "1. The court follows Brown v. Board of Education, 347 U.S. 483, 495 (1954).",
            "sourceName": "apify-health-fixture"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("skilled_glee/legal-opinion-citation-extractor").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 = { "items": [{
            "rawText": "1. The court follows Brown v. Board of Education, 347 U.S. 483, 495 (1954).",
            "sourceName": "apify-health-fixture",
        }] }

# Run the Actor and wait for it to finish
run = client.actor("skilled_glee/legal-opinion-citation-extractor").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "items": [
    {
      "rawText": "1. The court follows Brown v. Board of Education, 347 U.S. 483, 495 (1954).",
      "sourceName": "apify-health-fixture"
    }
  ]
}' |
apify call skilled_glee/legal-opinion-citation-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,skilled_glee/legal-opinion-citation-extractor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/sqoafgSV5JGotJclZ/builds/TdUUDSAYRFd4UE4VS/openapi.json