# SEC EDGAR Earnings Transcripts — Full Export

**Use case:** 

Scrape the full sec edgar earnings transcripts dataset with all available fields.

## Input

```json
{
  "sp_intended_usage": "Example: extract sec edgar earnings transcripts for research and lead generation",
  "sp_improvement_suggestions": "none",
  "sp_contact": "Share your email here...",
  "tickers": [
    "AAPL"
  ],
  "searchQuery": "",
  "dateFrom": "",
  "dateTo": "",
  "fetchExhibitText": true,
  "maxItems": 200
}
```

## Output

```json
{
  "ticker": {
    "label": "Ticker",
    "format": "string"
  },
  "company_name": {
    "label": "Company Name",
    "format": "string"
  },
  "filing_date": {
    "label": "Filing Date",
    "format": "string"
  },
  "fiscal_quarter": {
    "label": "Fiscal Quarter",
    "format": "string"
  },
  "has_item_202": {
    "label": "Has Item 202",
    "format": "boolean"
  },
  "transcript_present": {
    "label": "Transcript Present",
    "format": "boolean"
  },
  "accession_number": {
    "label": "Accession Number",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [SEC EDGAR Earnings Transcripts Scraper](https://apify.com/jungle_synthesizer/sec-edgar-earnings-transcripts-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/jungle_synthesizer/sec-edgar-earnings-transcripts-scraper) 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/jungle_synthesizer/sec-edgar-earnings-transcripts-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).
