cognee-community-tasks-scrapegraph 0.1.0

Package containing custom cognee tasks for scraping web content using ScrapeGraphAI

cognee-community-tasks-scrapegraph

Custom cognee tasks for scraping web content using ScrapeGraphAI.

Overview

This package provides two async tasks:

• scrape_urls – scrape a list of URLs with a natural language prompt and return structured results.
• scrape_and_add – scrape URLs and ingest the content directly into a cognee dataset.

Installation

uv pip install cognee-community-tasks-scrapegraph

Or install locally with all dependencies:

cd packages/task/scrapegraph_tasks
uv sync --all-extras
# OR
poetry install

Requirements

You need two API keys:

Variable	Description
LLM_API_KEY	OpenAI (or other LLM provider) API key used by cognee
SGAI_API_KEY	ScrapeGraphAI API key

Set them in your environment or in a .env file:

export LLM_API_KEY="sk-..."
export SGAI_API_KEY="sgai-..."

Usage

Scrape only

import asyncio
from cognee_community_tasks_scrapegraph import scrape_urls

results = asyncio.run(
    scrape_urls(
        urls=["https://cognee.ai", "https://docs.cognee.ai"],
        user_prompt="Extract the main content, title, and key information from this page",
    )
)

for item in results:
    print(item["url"], item["content"])

Scrape and add to cognee

import asyncio
from cognee_community_tasks_scrapegraph import scrape_and_add

asyncio.run(
    scrape_and_add(
        urls=["https://cognee.ai"],
        user_prompt="Extract the main content and key information",
        dataset_name="web_scrape",
    )
)

Run the example

cd packages/task/scrapegraph_tasks
uv run python examples/example.py
# OR
poetry run python examples/example.py

API Reference

scrape_urls

async def scrape_urls(
    urls: List[str],
    user_prompt: str = "Extract the main content, title, and key information from this page",
    api_key: Optional[str] = None,
) -> List[dict]

Returns a list of dicts:

[
    {"url": "https://example.com", "content": {...}},           # success
    {"url": "https://bad.invalid", "content": "", "error": "..."}, # failure
]

scrape_and_add

async def scrape_and_add(
    urls: List[str],
    user_prompt: str = "Extract the main content, title, and key information from this page",
    api_key: Optional[str] = None,
    dataset_name: str = "scrapegraph",
) -> Any

Scrapes all URLs, combines the successful results into a single text document, calls cognee.add, and then cognee.cognify. Returns the cognify result.