import asyncio import json from datetime import timedelta from typing import Any from aws_lambda_powertools.utilities.typing import LambdaContext from crawlee.crawlers import PlaywrightCrawler, PlaywrightCrawlingContext from crawlee.storage_clients import MemoryStorageClient from crawlee.storages import Dataset, RequestQueue async def main() -> str: # highlight-start # Disable writing storage data to the file system storage_client = MemoryStorageClient() # highlight-end # Initialize storages dataset = await Dataset.open(storage_client=storage_client) request_queue = await RequestQueue.open(storage_client=storage_client) crawler = PlaywrightCrawler( storage_client=storage_client, max_request_retries=1, request_handler_timeout=timedelta(seconds=30), max_requests_per_crawl=10, # highlight-start # Configure Playwright to run in AWS Lambda environment browser_launch_options={ 'args': [ '--no-sandbox', '--disable-setuid-sandbox', '--disable-dev-shm-usage', '--disable-gpu', '--single-process', ] }, # highlight-end ) @crawler.router.default_handler async def request_handler(context: PlaywrightCrawlingContext) -> None: context.log.info(f'Processing {context.request.url} ...') data = { 'url': context.request.url, 'title': await context.page.title(), 'h1s': await context.page.locator('h1').all_text_contents(), 'h2s': await context.page.locator('h2').all_text_contents(), 'h3s': await context.page.locator('h3').all_text_contents(), } await context.push_data(data) await context.enqueue_links() await crawler.run(['https://crawlee.dev']) # Extract data saved in `Dataset` data = await crawler.get_data() # Clean up storages after the crawl await dataset.drop() await request_queue.drop() # Serialize the list of scraped items to JSON string return json.dumps(data.items) def lambda_handler(_event: dict[str, Any], _context: LambdaContext) -> dict[str, Any]: result = asyncio.run(main()) # Return the response with results return {'statusCode': 200, 'body': result}