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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:

  • proxy defaults to auto when 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.screenshot is None — guard for it (page.screenshot and page.screenshot.url). Custom viewport.width/height are integers in [16, 10000] and device_scale_factor is in [1, 4] (fractional allowed); out-of-range values are rejected with a 400.
  • extract.images URLs preserve their query string and resolve document-relative srcs against the full page URL (browser parity) — the same rules as links.

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 when extract.metadata is on (the default).
  • response_meta.usage — per-request billing + routing usage:
    • credits — credits charged (0 on 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's data.metadata (max 2048 bytes serialized). Use it to route deliveries without keeping your own job_id mapping.

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

AGPL-3.0-only

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