D4Vinci/Scrapling · error · TimeoutError
No pages finished to clear place in the pool within the {sel
Error message
No pages finished to clear place in the pool within the {self._max_wait_for_page}s timeout period What it means
Raised in `_get_page` of the sync browser engine base (scrapling/engines/_browsers/_base.py:298). With a persistent browser context, pages are pooled up to `max_pages`; when the pool is full, this code waits (polling every 50ms) up to `_max_wait_for_page` (hardcoded 60s) for a busy page to finish and be released. If none frees up in time, a `TimeoutError` is raised because `ctx.new_page()` would otherwise exceed the cap.
Source
Thrown at scrapling/engines/_browsers/_base.py:298
blocked_domains: Optional[Set[str]] = None,
context: Optional[AsyncBrowserContext] = None,
) -> PageInfo[AsyncPage]: # pragma: no cover
"""Get a new page to use"""
ctx = context if context is not None else self.context
if TYPE_CHECKING:
assert ctx is not None, "Browser context not initialized"
async with self._lock:
# If we're at max capacity after cleanup, wait for busy pages to finish
if context is None and self.page_pool.pages_count >= self.max_pages:
# Only applies when using persistent context
start_time = time()
while time() - start_time < self._max_wait_for_page:
await asyncio_sleep(0.05)
if self.page_pool.pages_count < self.max_pages:
break
else:
raise TimeoutError(
f"No pages finished to clear place in the pool within the {self._max_wait_for_page}s timeout period"
)
page = await ctx.new_page()
page.set_default_navigation_timeout(timeout)
page.set_default_timeout(timeout)
if extra_headers:
await page.set_extra_http_headers(extra_headers)
if disable_resources or blocked_domains:
await page.route("**/*", create_async_intercept_handler(disable_resources, blocked_domains))
return self.page_pool.add_page(page)
def get_pool_stats(self) -> Dict[str, int]:
"""Get statistics about the current page pool"""
return {
"total_pages": self.page_pool.pages_count,View on GitHub (pinned to 5d213a2d47)
Solutions
- Raise `max_pages` when constructing the session so it matches your concurrency: `DynamicSession(max_pages=n_workers)`.
- Reduce per-page hold time: lower `timeout`, avoid `network_idle` on slow sites, keep `page_action` short.
- Cap caller concurrency (semaphore/queue) at or below `max_pages`.
- Catch `TimeoutError` around `fetch()` and reschedule that URL instead of letting it kill the batch.
Example fix
# before
with DynamicSession(max_pages=2) as s:
with ThreadPoolExecutor(20) as pool: # 20 fetches, 2 pages -> TimeoutError
list(pool.map(lambda u: s.fetch(u), urls))
# after
with DynamicSession(max_pages=20) as s:
with ThreadPoolExecutor(20) as pool:
list(pool.map(lambda u: s.fetch(u), urls)) Defensive patterns
Strategy: retry
Validate before calling
def pool_has_room(session, needed: int = 1) -> bool:
return session.page_pool.pages_count + needed <= session.max_pages Try / catch
from time import sleep
for attempt in range(3):
try:
resp = session.fetch(url)
break
except TimeoutError as e:
if 'pool' not in str(e):
raise
sleep(5) # let busy pages finish, then retry
else:
raise Prevention
- Set max_pages >= your worker count when creating the session.
- Keep page_action callbacks short; they hold pooled pages.
- Bound concurrency with a semaphore equal to max_pages.
When it happens
Trigger: Creating more concurrent fetches/tasks inside one `with DynamicSession(max_pages=N)` block than `N`, where all pages stay busy longer than 60s — e.g. N threads each doing slow `fetch()` calls with high `timeout`, long `wait`, or blocked `page_action` callbacks. Only applies when no explicit proxy context is used (persistent-context path).
Common situations: Scaling up a thread pool beyond the configured `max_pages`; long `network_idle`/`wait_selector` waits holding pages; a `page_action` that sleeps or waits on user input while holding a pooled page; CI environments where pages hang on bad proxies.
Understand the failure class
- Timeouts: ETIMEDOUT, deadlines, and hung requests — what actually expires when a request times out.
Related errors
- Maximum page limit ({self.max_pages}) reached
- Browser not initialized for proxy rotation mode
- Session has been already started
- Context manager has been closed
- Failed to get response for {url}
AI-assisted analysis of D4Vinci/Scrapling@5d213a2d47 (2026-08-14).
Data as JSON: /api/errors/0036fbcadeb99a94.
Report an issue: GitHub.