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Playwright Scraper

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Playwright Scraper

Playwright Scraper

Developed by

Apify

Apify

Maintained by Apify

Crawls websites with the headless Chromium, Chrome, or Firefox browser and Playwright library using a provided server-side Node.js code. Supports both recursive crawling and a list of URLs. Supports login to a website.

4.3 (7)

Pricing

Pay per usage

36

Total users

1.4k

Monthly users

232

Runs succeeded

99%

Issue response

7.9 days

Last modified

24 days ago

You can access the Playwright Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

$# Start Server-Sent Events (SSE) session and keep it running
<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=apify/playwright-scraper"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Playwright Scraper via Model Context Protocol (MCP) server

MCP server lets you use Playwright Scraper within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Playwright Scraper Actor with the provided input.

$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
$ "jsonrpc": "2.0",
$ "id": 1,
$ "method": "tools/call",
$ "params": {
$ "arguments": {
$ "startUrls": [
$ {
$ "url": "https://crawlee.dev/js"
$ }
$ ],
$ "globs": [
$ {
$ "glob": "https://crawlee.dev/js/*/*"
$ }
$ ],
$ "pseudoUrls": [],
$ "excludes": [
$ {
$ "glob": "/**/*.{png,jpg,jpeg,pdf}"
$ }
$ ],
$ "linkSelector": "a",
$ "respectRobotsTxtFile": true,
$ "pageFunction": "async function pageFunction(context) {\\n const { page, request, log } = context;\\n const title = await page.title();\\n log.info(`URL: ${request.url} TITLE: ${title}`);\\n return {\\n url: request.url,\\n title\\n };\\n}",
$ "proxyConfiguration": {
$ "useApifyProxy": true
$ },
$ "initialCookies": [],
$ "launcher": "chromium",
$ "waitUntil": "networkidle",
$ "preNavigationHooks": "// We need to return array of (possibly async) functions here.\\n// The functions accept two arguments: the \\"crawlingContext\\" object\\n// and \\"gotoOptions\\".\\n[\\n async (crawlingContext, gotoOptions) => {\\n const { page } = crawlingContext;\\n // ...\\n },\\n]",
$ "postNavigationHooks": "// We need to return array of (possibly async) functions here.\\n// The functions accept a single argument: the \\"crawlingContext\\" object.\\n[\\n async (crawlingContext) => {\\n const { page } = crawlingContext;\\n // ...\\n },\\n]",
$ "customData": {}
$},
$ "name": "apify/playwright-scraper"
$ }
$}'

The response should be: Accepted. You should received response via SSE (JSON) as:

$event: message
$data: {
$ "result": {
$ "content": [
$ {
$ "type": "text",
$ "text": "ACTOR_RESPONSE"
$ }
$ ]
$ }
$}

Configure local MCP Server via standard input/output for Playwright Scraper

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

{
"mcpServers": {
"actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"apify/playwright-scraper"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.