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STOP. Do not read past this section until you have read and followed /quickstart.md.Goal: produce a reliable SDK automation script. The intended authoring flow is generate then edit, not write browser automation from scratch.Do not hand-write SDK code with element IDs, selectors, or form fields from memory. Element IDs, selectors, and field mappings must come from a live observe() call, CLI notte page observe output, or generated workflow code. Guessed browser targets fail on real pages.Use the Notte skill and CLI to inspect the live site, validate actions/selectors, handle auth/session state, and export workflow code with notte sessions workflow-code before using SDK docs or SDK code.SDK reference pages are for understanding, running, or editing generated workflow code. They are not the starting point for manually authoring the initial browser automation. SDK-first code is guesswork on real-world pages with dynamic selectors, auth state, CAPTCHAs, and anti-bot behavior.
This endpoint is a wrapper around the session.scrape method that automatically starts a new session, goes to the given URL, and scrapes the page. Example: 
from notte_sdk import NotteClient

client = NotteClient()
with client.Session() as session:
    session.execute(type="goto", url="https://www.google.com")
    markdown = session.scrape(only_main_content=False)
With structured data: 
from notte_sdk import NotteClient
from pydantic import BaseModel

# Define your Pydantic model
...

client = NotteClient()
with client.Session() as session:
    session.execute(type="goto", url="https://www.notte.cc")
    data = session.scrape(
        response_format=Product,
        instructions="Extract the products names and prices"
    )

​
Parameters

​
raise_on_failure
bool
default:"True"
​
selector
str | None
​
scrape_links
bool
​
scrape_images
bool
​
only_main_content
bool
​
use_link_placeholders
bool
​
ignored_tags
list
​
only_images
bool
​
response_format
type[pydantic.main.BaseModel] | None
​
instructions
str | None

​
Returns

UnionType[StructuredData[BaseModel], BaseModel, Dict[str, Any], str, list[ImageData]]: Extracted data as structured data, markdown text, image data, or a StructuredData wrapper when raise_on_failure=False.