Headless browser functionality breaks when integrated into FastAPI endpoint

I’ve got a weird issue with my headless browser setup. It’s working fine on its own, but it’s acting up when I try to use it in a FastAPI endpoint. Here’s what’s going on:

I created a new class called WebScraper that uses Playwright for headless browsing. When I run it directly, everything goes smoothly:

async def test_run():
    data = await WebScraper.fetch_and_parse('https://google.com')
    print(data)

asyncio.run(test_run())

However, when I embed it within a FastAPI endpoint like this:

@app.get('/scrape/')
async def scrape_page():
    data = await WebScraper.fetch_and_parse('https://google.com')
    return data

I encounter the following error:

RuntimeError: Browser not initialized. Call init_browser first.

I am puzzled why it works perfectly in isolation but fails in the FastAPI environment. Does anyone have insights on resolving this asynchronous issue?

hm, seems like ur browser isn’t initializing properly in fastapi. try moving the browser setup to a startup event handler:

@app.on_event(“startup”)
async def startup_event():
await WebScraper.init_browser()

this should ensure the browser’s ready b4 any requests come in. lmk if that helps!

I’ve faced this issue before when working with headless browsers in FastAPI. The problem likely stems from the browser’s lifecycle not aligning with FastAPI’s asynchronous nature. A solution that worked for me was implementing a connection pool for browser instances.

Here’s a rough idea of how you could modify your WebScraper class:

from playwright.async_api import async_playwright
import asyncio

class WebScraper:
    _pool = None
    _semaphore = None

    @classmethod
    async def get_browser(cls):
        if cls._pool is None:
            cls._pool = []
            cls._semaphore = asyncio.Semaphore(5)  # Adjust pool size as needed
        async with cls._semaphore:
            if not cls._pool:
                async with async_playwright() as p:
                    browser = await p.chromium.launch()
                    cls._pool.append(browser)
            return cls._pool.pop()

    @classmethod
    async def release_browser(cls, browser):
        cls._pool.append(browser)

    @classmethod
    async def fetch_and_parse(cls, url):
        browser = await cls.get_browser()
        try:
            page = await browser.new_page()
            await page.goto(url)
            # Your scraping logic here
            return data
        finally:
            await cls.release_browser(browser)

This approach maintains a pool of browser instances, which should resolve the initialization issues while being more efficient than creating a new browser for each request.

I’ve encountered a similar issue before, and it’s likely related to how FastAPI handles the event loop. The problem might be that the browser initialization is tied to a specific event loop, which isn’t carried over to the FastAPI context.

One approach that worked for me was to initialize the browser for each request, rather than trying to maintain a single instance. You could modify your WebScraper class to create a new browser instance for each fetch_and_parse call:

class WebScraper:
    @staticmethod
    async def fetch_and_parse(url):
        async with async_playwright() as p:
            browser = await p.chromium.launch()
            page = await browser.new_page()
            await page.goto(url)
            # Your scraping logic here
            await browser.close()
            return data

This way, you’re creating a fresh browser instance for each request, which should resolve the initialization issue. It might be slightly slower, but it ensures each request has its own isolated browser context.