# Extract an AMCR Trade from a Senate eFD PTR

**Use case:** 

Extract a specific official Senate eFD periodic transaction report and keep its AMCR transaction as a structured, spreadsheet-ready record.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://efdsearch.senate.gov/search/view/ptr/5ecc9b5c-07c1-4ec1-bd4a-2db759eff299/"
    }
  ],
  "firstName": "",
  "lastName": "Wyden",
  "state": "",
  "reportTypes": [
    "periodic_transaction"
  ],
  "submittedDateFrom": "2026-01-01",
  "submittedDateTo": "2026-08-10",
  "tickers": [
    "AMCR"
  ],
  "maxReports": 1,
  "maxItems": 5
}
```

## Output

```json
{
  "recordType": {
    "label": "Record type",
    "format": "string"
  },
  "filerName": {
    "label": "Filer",
    "format": "string"
  },
  "submittedDate": {
    "label": "Submitted",
    "format": "string"
  },
  "section": {
    "label": "Section",
    "format": "string"
  },
  "transactionDate": {
    "label": "Transaction date",
    "format": "string"
  },
  "ticker": {
    "label": "Ticker",
    "format": "string"
  },
  "assetName": {
    "label": "Asset",
    "format": "string"
  },
  "transactionType": {
    "label": "Transaction type",
    "format": "string"
  },
  "amount": {
    "label": "Amount",
    "format": "string"
  },
  "reportUrl": {
    "label": "Official report",
    "format": "string"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [U.S. Senate Financial Disclosures Scraper](https://apify.com/automation-lab/us-senate-financial-disclosures-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/us-senate-financial-disclosures-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`.
- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/automation-lab/us-senate-financial-disclosures-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).