parsera 0.1.0

Lightweight library for scraping web-sites with LLMs

Parsera

Lightweight library for scraping web-sites with LLMs. You can check how it works on Parsera website.

Why Parsera?

Because it's simple and lightweight, with minimal token use it boosts speed and reduces expenses.

Installation

pip install parsera
playwright install

Basic usage

If you want to use OpenAI, remember to set up OPENAI_API_KEY env variable. You can do this from python with:

import os

os.environ["OPENAI_API_KEY"] = "YOUR_OPENAI_API_KEY_HERE"

Next you can run a basic version that uses gpt-4o-mini

from parsera import Parsera

url = "https://news.ycombinator.com/"
elements = {
    "Title": "News title",
    "Points": "Number of points",
    "Comments": "Number of comments",
}

scrapper = Parsera()
result = scrapper.run(url=url, elements=elements)

result variable will contain a json with a list of records:

[
   {
      "Title":"Hacking the largest airline and hotel rewards platform (2023)",
      "Points":"104",
      "Comments":"24"
   },
    ...
]

Run with local model

Install Ollama

pip install langchain-ollama

from langchain_ollama import ChatOllama

llm = ChatOllama(
    model="llama3",
    temperature=0,
    # other params...
)

url = "https://news.ycombinator.com/"
elements = {
    "Title": "News title",
    "Points": "Number of points",
    "Comments": "Number of comments",
}
scrapper = Parsera(model=llm)
result = scrapper.run(url=url, elements=elements)