Official Python SDK for crawlbrulee - web-scraping API.
Project description
crawlbrulee
The official Python SDK for the crawlbrulee web-scraping API.
- Fully typed (ships
py.typed). - Sync and async clients (
Crawlbrulee/AsyncCrawlbrulee). - One runtime dependency:
httpx. - Python 3.10+.
Status: v0.6.0 (beta). The API surface is stabilizing — expect minor breaking changes between 0.x releases.
Install
pip install crawlbrulee
# or: uv add crawlbrulee
Quickstart
from crawlbrulee import Crawlbrulee, ScrapeExtract
client = Crawlbrulee(api_key="cwbl_…")
# or read CRAWLBRULEE_API_KEY from the environment:
client = Crawlbrulee.from_env()
page = client.scrape(
url="https://example.com",
extract=ScrapeExtract(markdown=True, links=True),
)
print(page.markdown)
print(len(page.links or []), "links found")
print(page.metadata.title if page.metadata else None)
# Per-request billing + routing usage rides along on every success:
if page.response_meta:
print(page.response_meta.usage.credits, page.response_meta.usage.proxy, page.response_meta.usage.cache_hit)
Async
The async client mirrors the sync one method-for-method:
import asyncio
from crawlbrulee import AsyncCrawlbrulee
async def main() -> None:
async with AsyncCrawlbrulee.from_env() as client:
page = await client.scrape(url="https://example.com")
print(page.markdown)
asyncio.run(main())
Configuration
| Option | Default | Description |
|---|---|---|
api_key |
— | Sent as Authorization: Bearer …. Required — or use from_env(). |
base_url |
https://api.crawlbrulee.com |
Override the target host (local dev / staging). Trailing slashes stripped. |
timeout |
None (no timeout) |
Per-request timeout in seconds. A per-call timeout= overrides it. |
Crawlbrulee.from_env(**overrides) reads the key from CRAWLBRULEE_API_KEY and
forwards any other option through.
Both clients support context managers (with / async with) and expose
close() / aclose() to release the connection pool.
Request inputs
Top-level request fields are plain keyword arguments. Nested structures are typed
dataclasses (importable from crawlbrulee) — or plain dicts, if you prefer:
from crawlbrulee import ScrapeExtract, ScreenshotRequest
client.scrape(
url="https://news.example.com/article-1",
extract=ScrapeExtract(
markdown=True,
metadata=True,
links=True,
screenshot=ScreenshotRequest(type="full_page", device_mode="desktop"),
),
require_js=True,
proxy="advanced",
exclude_selectors=["nav", "footer"],
cache={"max_age": 3600}, # dataclass or dict, your call
location={"country": "US"},
)
None-valued options are omitted from the request entirely, so the server's
defaults apply.
Notes:
proxydefaults toautowhen omitted — it starts at the basic tier and escalates to advanced on failure, billed at the delivered tier. Pass"basic","advanced", or"none"to pin a tier.- Screenshots. In rare cases a screenshot can't be captured; when that happens the
rest of your requested outputs are still returned and the screenshot is simply left out,
so
page.screenshotisNone— guard for it (page.screenshot and page.screenshot.url). Customviewport.width/heightare integers in[16, 10000]anddevice_scale_factoris in[1, 4](fractional allowed); out-of-range values are rejected with a400. extract.imagesURLs preserve their query string and resolve document-relativesrcs against the full page URL (browser parity) — the same rules aslinks.
API reference
Every method returns a typed dataclass and accepts a per-call timeout= (seconds).
Scraping
| Method | Description |
|---|---|
scrape(url, **opts) |
Scrape a URL synchronously; blocks until done. |
scrape_async(url, **opts) |
Submit a background job; returns { job_id } immediately. |
get_scrape_status(job_id) |
Current job state — pending / running / done / failed. |
get_scrape_result(job_id) |
Result of a completed job (raises if not finished). |
wait_for_scrape(job_id, interval=2.0, timeout=300.0) |
Poll until terminal, then return the result. |
job = client.scrape_async(url="https://example.com")
page = client.wait_for_scrape(job.job_id, interval=2.0, timeout=300.0)
wait_for_scrape raises a CrawlbruleeError with error_name="job_failed" if the
job fails, or error_name="request_timeout" if the wait expires (timeout=0 waits
forever).
The scrape response
A successful scrape / get_scrape_result returns a ScrapeResponse:
metadata— extracted page metadata (title,description, OG/Twitter tags, …), present whenextract.metadatais on (the default).response_meta.usage— per-request billing + routing usage:credits— credits charged (0on a cache hit).proxy— the proxy tier that actually ran:"none","basic", or"advanced"(the resolved tier —"auto"is decided server-side and is never echoed here).cache_hit— whether the result was served from cache.
page = client.scrape(url="https://example.com")
if page.response_meta and page.response_meta.usage.cache_hit:
print("served from cache — 0 credits")
Mapping
result = client.map(
url="https://example.com",
sitemap_only=False,
types={"internal": True, "external": False},
max_urls=5_000,
page=1,
limit=1_000,
)
print(len(result.links), "of", result.response_meta.pagination.total_pages, "pages")
print(result.response_meta.usage.credits, "credits", "(cache hit)" if result.response_meta.usage.cache_hit else "")
result.response_meta carries usage (credits / resolved proxy / cache_hit)
alongside the existing pagination and truncation blocks.
The async status response (get_scrape_status) also gains a response_meta.usage
once the job is done:
status = client.get_scrape_status(job_id)
if status.status == "done" and status.response_meta:
print("job cost", status.response_meta.usage.credits, "credits")
Account
| Method | Description |
|---|---|
usage() |
Current billing-cycle snapshot — credits, quota %, concurrency, reset time. |
whoami() |
Organization + token identity behind the API key. |
Webhooks
If you configure a webhook endpoint, the API POSTs a scrape.complete delivery
when an async scrape job reaches a terminal state. Each delivery is signed with
HMAC-SHA256 in the X-Cwbl-Signature header (t=<unix_seconds>,v1=<hex>), over
the {timestamp}.{raw_body} payload.
Triggering a webhook
Pass webhook= to scrape_async to tell the API where to deliver the
scrape.complete POST for that job. This is async-only — the sync scrape()
response is the result, so it has no webhook parameter.
from crawlbrulee import Crawlbrulee, ScrapeWebhook
client = Crawlbrulee.from_env()
job = client.scrape_async(
url="https://example.com",
webhook=ScrapeWebhook(
url="https://your-app.example.com/webhooks/crawlbrulee", # HTTPS in production
metadata={"order_id": "abc-123"}, # optional, dict or omit
),
)
# or pass a plain dict:
# webhook={"url": "https://your-app.example.com/webhooks/crawlbrulee"}
url— http/https endpoint (max 2048 chars). HTTPS is required in production.metadata— opaque metadata object, echoed back verbatim in the webhook payload'sdata.metadata(max 2048 bytes serialized). Use it to route deliveries without keeping your ownjob_idmapping.
The delivered scrape.complete payload carries the echoed object on
data.metadata, plus data.response_meta.usage (credits / resolved proxy /
cache_hit) for the finished job:
webhook = ScrapeCompleteWebhook(...) # parsed from the delivery (see below)
print(webhook.data.metadata) # {"order_id": "abc-123"}
if webhook.data.response_meta:
print("job cost", webhook.data.response_meta.usage.credits, "credits")
Deliveries are signed with your organization webhook secret (configured in the dashboard under Account → Webhooks); there is no per-request secret. Verify and consume them as shown below.
Verify the signature first, using the raw request body (the exact bytes
you received — not re-serialized JSON). verify_webhook_signature is pure crypto
(no network, no extra dependency) and returns a result instead of raising, so
a forged or replayed delivery is normal control flow:
import json
from fastapi import FastAPI, Request, Response
from crawlbrulee import Crawlbrulee, verify_webhook_signature
app = FastAPI()
client = Crawlbrulee.from_env()
WEBHOOK_SECRET = "whsec_…" # your current signing secret
@app.post("/webhooks/crawlbrulee")
async def crawlbrulee_webhook(request: Request) -> Response:
raw = await request.body() # raw bytes — do NOT re-encode the parsed JSON
result = verify_webhook_signature(
payload=raw,
headers=request.headers, # case-insensitive lookup
secret=WEBHOOK_SECRET,
)
if not result.verified:
return Response(status_code=400) # result.reason explains why
webhook = json.loads(raw)
page = client.fetch_scrape_result_from_webhook(webhook)
print(page.markdown)
return Response(status_code=200)
(In Flask, the equivalent is request.get_data() for the raw body and
request.headers for the lookup.)
fetch_scrape_result_from_webhook(webhook) accepts the parsed webhook as either
the decoded dict or a ScrapeCompleteWebhook dataclass. On a success job it
fetches the result via get_scrape_result; on failed it raises a
CrawlbruleeError carrying the error message (error_name="job_failed"), and on
cancelled it raises indicating cancellation.
Secret rotation. During a rotation grace window the API also sends an
X-Cwbl-Signature-Rotated header signed with the previous secret. Keep passing
your current secret — verify_webhook_signature checks the primary header first,
then the rotated one, and reports which matched via result.signed_with
("primary" or "rotated").
Replay protection is on by default: deliveries whose timestamp differs from
now by more than tolerance_seconds (default 300) are rejected with
reason="timestamp_out_of_tolerance". Pass tolerance_seconds=0 to disable it.
Errors
Every failure raised by the SDK subclasses CrawlbruleeError:
| Class | When |
|---|---|
AuthenticationError |
401 / 403 (missing, invalid, or unauthorized key). |
RateLimitError |
429. Exposes retry_after_ms and limited_by when provided. |
UsageAllocationError |
Plan limit hit. Exposes reason and usage. |
ValidationError |
Bad request (invalid_url, url_too_long, blocked_url, …). |
NotFoundError |
404 (e.g. unknown async job_id). |
TransportError |
Network failure, timeout, or non-JSON response. |
CrawlbruleeError |
Base class — any other API error. Always has status, error_name, message. |
import time
from crawlbrulee import Crawlbrulee, RateLimitError, UsageAllocationError
client = Crawlbrulee.from_env()
try:
client.scrape(url="https://example.com")
except RateLimitError as err:
time.sleep((err.retry_after_ms or 1000) / 1000)
# retry…
except UsageAllocationError as err:
print("Plan limit hit:", err.reason, err.usage)
For exhaustive branching, switch on err.error_name.
Rate limits
Limits are per-plan, with separate buckets for sync and async (requests per
minute). Synchronous scrape() and map() count against the sync bucket;
scrape_async() submissions have their own bucket.
| Plan | Sync (rpm) | Async (rpm) |
|---|---|---|
| Free | 50 | 100 |
| Starter | 100 | 300 |
| Pro | 350 | 1000 |
| Advanced | 1000 | 3000 |
Exceeding a bucket returns 429; the SDK raises RateLimitError — read
retry_after_ms to back off.
Notes on the wire format
The SDK mirrors the API's JSON shapes faithfully. Every endpoint — including the
async job status response (job_id, created_at) — is snake_case on the
wire, and the SDK field names match it 1:1.
Development
uv sync # or: pip install -e ".[dev]"
ruff check . && ruff format --check .
pyright
pytest
The SDK keeps a single runtime dependency (httpx) on purpose — please keep it that
way when contributing.
License
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