tedfulk-kb-pycrawler 0.1.6

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Python Web Scraper

This script utilizes the Playwright library for scraping websites and generating a knowledgebase. It is capable of outputting the scraped data in multiple formats, including JSON, plain text, and PDF.

Main Functions

scrape_it(config: Config)

Parameters

• config: An object containing URLs to scrape, output file names, file types, and a limit on pages to crawl.

Workflow

1. Launch Chromium Browser: Uses Playwright to start a new browser instance.
2. URL Iteration: For each URL in the Config object:
   • Sitemap Processing:
     • Navigate to sitemap.xml.
     • Raise NoSitemapError if not found, else extract URLs.
   • Page Processing: For each URL in the sitemap:
     • Stop if max_pages_to_crawl is reached.
     • Navigate to the URL and extract the page content.
     • Create a WebPage object with URL and content.
     • Clean content and add to Knowledgebase object.
3. Output Generation:
   • Calls write_to_file(knowledgebase: Knowledgebase, config: Config) to generate outputs.
   • Supports multiple output formats as specified in config (JSON, TXT, PDF).

write_to_file(knowledgebase: Knowledgebase, config: Config)

Purpose

Writes the scraped data from Knowledgebase to files in the specified formats.

Functionality

• Directory Creation: Ensures the directory for storing files exists.
• File Generation:
  • JSON Output: Stores the Knowledgebase object in a JSON file.
  • Text Output: Creates a text file with all the page contents.
  • PDF Output: Generates a PDF file with the content of each webpage.

Unique Filenames

• Uses get_output_filename(file_name: str, file_type: str) to ensure unique file names for each output file.

string_to_pdf(knowledgebase: Knowledgebase, file_name)

Purpose

Converts the content of webpages in a Knowledgebase to a PDF file.

Functionality

• Handles UTF-8 encoding and falls back to DejaVu font if necessary.
• Generates a PDF with each page's URL and content.

Error Handling

• The script raises a NoSitemapError if a sitemap.xml file is not found for a given URL.
• Errors and statuses are printed to the console for debugging and monitoring.

Requirements

• Playwright for Python
• FPDF library for PDF generation
• Pydantic for data model validation

Usage

poetry add tedfulk-kb-pycrawler

playwright install

import asyncio
from tedfulk_kb_pycrawler import scrape_it, Config


config = Config(
    urls=[
        "https://jxnl.github.io/instructor/",
    ],
    output_file_name=["instructor"],
    output_file_type=["pdf"],
    max_pages_to_crawl=100,
)
asyncio.run(scrape_it(config))

Activate your virtual environment:

poetry shell

Run the script:

python main.py