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There is no single fix for a Pyppeteer “Future” error: the correct fix depends on the final exception line and whether your code runs as a standalone script or inside an environment that already owns an event loop. For “Task got Future attached to a different loop,” trace where the browser, page, task, or Future was created; for “This event loop is already running,” remove the nested loop runner; for “coroutine was never awaited,” await or deliberately schedule the coroutine.

Start by copying the complete traceback, then use the matching branch below. Pyppeteer’s documented usage is coroutine-based: browser operations run inside async code and are awaited. Its documentation is old, so treat its stated compatibility details as documentation rather than a guarantee for every current Python or Chromium version.

Identify which asyncio error you have

Read the last line of the traceback first, then find the first frame in your own code. Similar-looking errors can have different causes, and a generic change to event-loop settings can hide the real problem.

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Message or symptom What it usually points to First check
Task got Future attached to a different loop A loop-bound object was created under one event loop and used under another. Trace where the affected browser, page, task, or Future was created and where it is awaited.
This event loop is already running Your code tried to start or drive an event loop that its host is already running. Search for nested calls to asyncio.run() or run_until_complete().
There is no running event loop or There is no current event loop Loop-dependent work is happening outside the intended async context, such as during import or in a thread without a loop. Move the work into the application’s async entry point; identify which component owns the loop.
coroutine was never awaited, or a coroutine appears to be a value A coroutine was created but neither awaited nor scheduled. Check each Pyppeteer call for await or an intentional task schedule.

These are diagnostic starting points, not proof of the exact failing object. The full traceback and runtime context matter.

Use one event-loop owner

A coroutine describes async work; it does not run merely because it was called. A Task schedules a coroutine, while an asyncio Future is an awaitable used to represent a result that may become available later. Futures are associated with an event loop and are not thread-safe. Pyppeteer application code normally awaits its browser coroutines rather than constructing Futures itself. See Python’s Future documentation and task and coroutine documentation.

Choose the entry-point pattern based on who owns the loop:

  • Standalone synchronous script: use one top-level asyncio.run(main()).
  • Notebook, async server, or other async host: let the host own the loop and await your coroutine from its async context. Do not start another loop inside it.
  • Worker thread: do not move an asyncio Future between threads. Arrange an explicit thread-safe handoff to the loop that owns the async work.

Fix “Task got Future attached to a different loop”

This error is about ownership and lifecycle, not a missing await by itself. An asyncio Future belongs to the loop associated with it; reusing a Browser, Page, Task, or Future after that loop closes—or under a different loop—can cause a mismatch.

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  1. Use the traceback to identify the operation that fails and the object it is awaiting.
  2. Find where that object was created. Check module-level code, cached globals, fixtures, callbacks, and worker threads.
  3. Keep creation, use, and cleanup of the browser and its pages within one async lifecycle.
  4. If a new top-level run starts a new loop, create a fresh browser and page inside that run instead of reusing objects from an earlier run.
  5. If another thread needs to request async work, send the request to the owning loop through a thread-safe mechanism; do not pass the Future itself as though it were safe to share.

Python recommends creating low-level Futures through their owning loop’s loop.create_future() method. Most Pyppeteer scripts should not need to create one manually. If a Future appears in your own code, confirm its loop ownership before changing how it is created.

Fix “This event loop is already running”

This normally means a loop runner was called from code that is already running under asyncio. For example, a notebook cell or async web handler cannot safely call asyncio.run(main()) as though it were a fresh synchronous script.

  • In a standalone script, keep asyncio.run(main()) at the top-level entry point.
  • In an async notebook cell or host coroutine, use await main() or await the specific Pyppeteer operation.
  • Remove inner calls to run_until_complete() when the host already manages the event loop.

Do not apply event-loop monkey-patching as a first response. First remove the nested loop control and follow the execution context your application actually uses.

Fix “There is no running event loop”

Loop-dependent work may be starting during module import, from a synchronous callback, or in a thread that has no running loop. Move browser creation and other async operations into the intended coroutine entry point. Within an async function, asyncio.get_running_loop() reports the active loop if code needs to refer to it.

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For a standalone script, start the top-level coroutine with asyncio.run(main()). In an async host, await that work from the host’s loop instead. Avoid assuming that asyncio.get_event_loop() will return the loop you want in every thread or runtime context.

Fix a coroutine that was never awaited—or a Future treated as a value

Await Pyppeteer coroutines whose results you need. This is incorrect because it creates a coroutine but does not run it:

page.goto("https://example.com")

In an async function, use:

await page.goto("https://example.com")

If you intentionally need concurrent work, schedule a coroutine as a task and retain or await that task as appropriate for your program’s lifecycle. Do not confuse an asyncio.Future with a concurrent.futures.Future: the latter cannot be awaited directly. Bridge it to asyncio when necessary rather than treating the two types as interchangeable.

Also, calling .result() on a pending asyncio Future does not wait for completion; Python documents that accessing the result before it is ready raises InvalidStateError. Await the Future instead.

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Use a safe standalone Pyppeteer structure

This pattern gives a standalone script one clear loop owner and closes the browser even if navigation or title retrieval fails:

import asyncio
from pyppeteer import launch

async def main():
    browser = await launch()
    try:
        page = await browser.newPage()
        await page.goto("https://example.com")
        print(await page.title())
    finally:
        await browser.close()

if __name__ == "__main__":
    asyncio.run(main())

In an environment that already runs an event loop, do not invoke this script’s final runner from inside the host. Call await main() from the host’s async context instead. Pyppeteer’s documentation uses the older asyncio.get_event_loop().run_until_complete(main()) style; examples can reflect older Python conventions. Python’s current task documentation describes asyncio.run() as a top-level runner for a standalone program.

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Check browser startup separately

If the failure occurs before the first browser operation, it may not be a Future problem. Pyppeteer’s documentation says the first run downloads Chromium and its API reference cautions that compatibility with a different Chromium executable is not guaranteed. Check whether Chromium installed successfully and whether your configured executable matches the environment before changing asyncio code. The project describes itself as an unofficial Python port of Puppeteer for headless Chrome/Chromium automation; its documentation states Python 3.6 or newer as a requirement, but that old documented minimum is not a guarantee of compatibility with every current Python release. See the Pyppeteer documentation and API reference.

Diagnostic checklist

  1. Save the complete traceback, including the final exception line and first frame in your code.
  2. Record your Python and Pyppeteer versions, operating system, and execution context: standalone script, notebook, server, or worker thread.
  3. Search for every asyncio.run, run_until_complete, get_event_loop, browser creation, and asyncio.create_task call. Decide which component owns the loop.
  4. Check whether a Browser, Page, Task, or Future survives after its creating loop closes or is reused under a different loop.
  5. Check that coroutines are awaited or intentionally scheduled, and that asyncio Futures are not being confused with concurrent Futures.
  6. If failure happens during launch, inspect Chromium installation and executable configuration independently of the Future diagnosis.

Or skip the browser setup

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cURL example (replace the URL with the page you want):

curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://example.com -o shot.webp

See the API documentation for authentication and request options. Sign up for 1,000 free screenshots a month, with no card required.

Frequently Asked Questions

Should I downgrade Pyppeteer to fix a Future error?

Not without evidence from the traceback. First identify the loop ownership or coroutine issue; investigate package or browser compatibility when the failure points to startup or protocol behavior.

Can I use `asyncio.run()` in a notebook?

Use the notebook’s existing loop and await the coroutine in an async cell. `asyncio.run()` is for a standalone top-level entry point, not a loop already running in the host.

What’s actually slowing this PC down?

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