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jevrake — a scraping tool powered by Jev

Example on books.toscrape.com, a site made for scraping practice:

jevrake https://books.toscrape.com/ --fields '{"title": "Book title", "price": {"description": "Price", "type": "decimal"}, "availability": "Availability"}'

Output (1 of the 20 books on the page):

{
  "url": "https://books.toscrape.com/",
  "data": {
    "title": "A Light in the ...",
    "price": "51.77",
    "availability": "In stock"
  },
  "fields": {
    "title": {"value": "A Light in the ...", "confidence": 1.0, "probability": 1.0, "source": "A Light in the ..."},
    "price": {"value": "51.77", "confidence": 0.98, "probability": 0.99, "source": "£51.77"},
    "availability": {"value": "In stock", "confidence": 1.0, "probability": 1.0, "source": "In stock"}
  }
}

Install

pipx install jevrake
export TYPESAFE_API_KEY=your-api-key

Usage

jevrake https://example.com/item/1 --fields '{"title": "Product name", "price": {"description": "Price", "type": "int"}}'

Or from Python:

from pydantic import BaseModel, Field
from jevrake import rake


class Product(BaseModel):
    title: str = Field(description="Product name")
    price: int = Field(description="Price")


results = rake(["https://example.com/item/1"], Product)

jevrake collects every value on the page that matches each field's type, and Jev picks the one that fits the description. Values always come from the page.

• Works on list pages too: each repeated item (e.g. each shop in a list) becomes one record
• Types: str, int, float, decimal
• A value that is not found, or found with confidence below 0.9, becomes null
• robots.txt is not checked. Please make sure you follow each site's rules.

License

MIT