# Extract Text from a Web Page with Playwright

**Use case:** 

Extract text from a public webpage with a simple Playwright JSON workflow, then validate the result with an assertion. No Playwright script deployment required.

## Input

```json
{
  "startUrl": "https://example.com",
  "actions": [
    {
      "type": "extractText",
      "locator": {
        "by": "css",
        "value": "h1"
      }
    },
    {
      "type": "textContains",
      "locator": {
        "by": "css",
        "value": "h1"
      },
      "expected": "Example Domain"
    }
  ],
  "stopOnError": true,
  "actionTimeoutMs": 15000,
  "navigationTimeoutMs": 30000,
  "maxRunSeconds": 60,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "rowType": {
    "label": "Row type",
    "format": "string"
  },
  "stepIndex": {
    "label": "Step index",
    "format": "integer"
  },
  "action": {
    "label": "Action",
    "format": "string"
  },
  "passed": {
    "label": "Passed",
    "format": "boolean"
  },
  "value": {
    "label": "Value",
    "format": "string"
  },
  "currentUrl": {
    "label": "Current url",
    "format": "string"
  },
  "durationMs": {
    "label": "Duration ms",
    "format": "integer"
  },
  "artifactUrl": {
    "label": "Artifact url",
    "format": "string"
  },
  "errorCode": {
    "label": "Error code",
    "format": "string"
  },
  "errorMessage": {
    "label": "Error message",
    "format": "string"
  },
  "chargedActions": {
    "label": "Charged actions",
    "format": "integer"
  }
}
```

## About this Actor

This example demonstrates how to use [Playwright Browser Automation Runner | No-Code JSON Workflows](https://apify.com/produkdigitalali/playwright-browser-automation-runner.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/produkdigitalali/playwright-browser-automation-runner.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/produkdigitalali/playwright-browser-automation-runner.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).