pydantic-scrapeable-api-model 2.0.1

Minimal utilities to build scrapeable API models on top of Pydantic with simple caching and async HTTP.

pydantic-scrapeable-api-model

Minimal utilities to build scrapeable API models on top of Pydantic with simple on-disk caching and async HTTP.

Relies on pydantic-cacheable-model for JSON-based caching.

Install

pip install pydantic-scrapeable-api-model

Usage

This library now uses aiohttp for HTTP and requires an aiohttp.ClientSession to be provided when making requests. The recommended entrypoint for multi-model scrapes is run(), which manages a single session for you. When calling scrape_list() or scrape_detail() directly, pass a session explicitly.

Quickstart

from __future__ import annotations

import asyncio
import aiohttp
from typing import Any

from pydantic_scrapeable_api_model import (
    CacheKey,
    ScrapeableApiModel,
    DetailField,
    CustomScrapeField,
)


class MyAPI(ScrapeableApiModel):
    BASE_URL = "https://api.example.com"
    list_endpoint = "/items"

    id: CacheKey[int]  # required, unique key (or create a custom `cache_key`)
    name: str
    # lazily-scraped field (filled by `scrape_detail` or a custom method)
    description: DetailField[str] = CustomScrapeField("fetch_description")

    @property
    def detail_endpoint(self) -> str | None:
        return f"/items/{self.id}"

    # Optional: fetch a field yourself instead of relying on detail_endpoint.
    # Custom getters do not receive a shared session; create a short-lived one here
    # if you need to make HTTP calls.
    async def fetch_description(self) -> str:
        async with aiohttp.ClientSession() as session:
            resp = await self.request(
                id=f"item-{self.id}-desc",
                url=self._build_url(f"/items/{self.id}/description"),
                headers={"Accept": "application/json"},
                session=session,
            )
            if resp is None:
                return ""
            data: dict[str, Any] = await resp.json()
        return data.get("description", "")


async def main() -> None:
    # Manual call (single model): pass a session explicitly
    async with aiohttp.ClientSession() as session:
        await MyAPI.scrape_list(check_api=True, use_cache=True, session=session)

    # Work with cached data later
    items = list(MyAPI.load_all_cached())
    first = items[0]
    print(first.model_dump())


asyncio.run(main())

Fields annotated with DetailField begin as placeholders and are populated only after scrape_detail runs (triggered by .scrape_list(scrape_details=True, ...) by default, or by calling .scrape_detail(..., session=...), or via a custom getter). Pass scrape_details=False to scrape_list to skip detail scraping. Use CustomScrapeField("method_name") to register an async method that returns the field's value during scrape_detail. These methods are validated to exist and to return the same type as the field they populate.

To scrape several models at once and have the library manage one shared session for you, define a common base class and call Base.run(...) as shown below.

Run All Subclasses

from pydantic_scrapeable_api_model import CacheKey, ScrapeableApiModel

# Define a base that sets the host
class Base(ScrapeableApiModel):
    BASE_URL = "https://api.example.com"


class Users(Base):
    list_endpoint = "/users"
    id: CacheKey[int]
    username: str


class Posts(Base):
    list_endpoint = "/posts"
    id: CacheKey[int]
    title: str


# Discover and run all children concurrently; manages one ClientSession for you
asyncio.run(Base.run(use_cache=True, check_api=True))

Absolute Endpoints

Absolute list_endpoint or detail_endpoint values are supported and used as-is. A non-empty BASE_URL is still required by the base class contract, but it is ignored when the endpoint is absolute.

from pydantic_scrapeable_api_model import CacheKey, ScrapeableApiModel
import aiohttp

class ExternalFeed(ScrapeableApiModel):
    BASE_URL = "https://example.com"  # required, but not used for absolute endpoints
    list_endpoint = "https://example.org/feed.json"  # absolute
    id: CacheKey[int]
    title: str

async def main() -> None:
    async with aiohttp.ClientSession() as session:
        await ExternalFeed.scrape_list(
            check_api=True, use_cache=True, scrape_details=False, session=session
        )

asyncio.run(main())

Cached Access Helpers

# Load everything from cache
cached_items = list(MyAPI.load_all_cached())

# Fetch one by key (fallback to API when allowed)
item = asyncio.run(MyAPI.get(cache_key="123", check_api=True))

Configure Logging

import logging

logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s %(levelname)s %(name)s - %(message)s",
)

# Library logs under module name
logging.getLogger("pydantic_scrapeable_api_model").setLevel(logging.INFO)

Custom Response Mapping

Override process_list_response() or process_detail_response() to adapt to non-trivial API shapes:

from typing import Sequence
import aiohttp

class MyWrappedAPI(MyAPI):
    # Server wraps results like: {"data": {"items": [ ... ]}}
    @classmethod
    async def process_list_response(
        cls, resp: aiohttp.ClientResponse
    ) -> Sequence["MyWrappedAPI"]:
        payload = await resp.json()
        items = payload.get("data", {}).get("items", [])
        return [cls(**row) for row in items]

    # Or customize how a detail response populates fields
    async def process_detail_response(self, resp: aiohttp.ClientResponse) -> None:
        data = await resp.json()
        # Only set what you need; unknown keys are ignored
        self.title = data["title"]

API Notes

MyModel.scrape_list(
    check_api=True|False|"/override",
    use_cache=True|False,
    scrape_details=True|False,
    session=<aiohttp.ClientSession>,
) -> list[MyModel]

MyModel.run(use_cache=True, check_api=True) -> None  # runs all subclasses, manages session
MyModel.get(cache_key=..., check_api=False) -> Optional[MyModel]  # creates a session if needed
MyModel.load_all_cached() -> Iterable[MyModel]
instance.scrape_detail(use_cache=True, session=<aiohttp.ClientSession>) -> None
instance.model_dump() -> dict  # unscraped fields omitted
MyModel.process_list_response(resp: aiohttp.ClientResponse) -> Sequence[MyModel]
instance.process_detail_response(resp: aiohttp.ClientResponse) -> None