# Extract text and metadata from a PDF URL

**Use case:** 

For developers and document teams who need PDF text inside a pipeline. The run downloads a public PDF, here the IRS Form W-9, and returns success flag, page count, word count, text length and processing time with the full text and metadata as a dataset row.

## Input

```json
{
  "url": "https://www.irs.gov/pub/irs-pdf/fw9.pdf"
}
```

## Output

```json
{
  "success": {
    "label": "Success",
    "format": "text"
  },
  "pages": {
    "label": "Pages",
    "format": "number"
  },
  "wordCount": {
    "label": "Words",
    "format": "number"
  },
  "textLength": {
    "label": "Text Length",
    "format": "number"
  },
  "processingTimeMs": {
    "label": "Time (ms)",
    "format": "number"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The PDF Parser API Actor is ready to run with the inputs already set for "Extract text and metadata from a PDF URL". [Sign up or log in](https://console.apify.com/create-task-from-example/sdAwnfWWNWaEoVATG) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Extract text and metadata from a PDF URL" task

The PDF Parser API Actor will start running based on the input automatically. You can also change all the input fields, like PDF URL, to match your specific use case.

### 3. Receive the "Extract text and metadata from a PDF URL" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as success, pages, words, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Extract text and metadata from a PDF URL" task via API](https://apify.com/george.the.developer/pdf-parser-api.md).

## About this Actor

This example demonstrates how to use [PDF Parser API](https://apify.com/george.the.developer/pdf-parser-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/george.the.developer/pdf-parser-api.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/george.the.developer/pdf-parser-api.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`).