the-big-scraper / alternative-2.py
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Update alternative-2.py
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# Last updated in: 8/20/2024
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# ------------------------------------------------------------------------------
# IMPORTS
# ------------------------------------------------------------------------------
import gradio as gr
from bs4 import BeautifulSoup as Soup
from langchain_community.document_loaders import (AsyncHtmlLoader,
NewsURLLoader, PubMedLoader,
PlaywrightURLLoader,
RecursiveUrlLoader,
SeleniumURLLoader,
UnstructuredURLLoader,
WebBaseLoader)
from selenium import webdriver
from selenium.common.exceptions import WebDriverException
from PIL import Image
from io import BytesIO
# ------------------------------------------------------------------------------
# THE BIG SCRAPER METHOD
# ------------------------------------------------------------------------------
def extractDataFromUrls(urls: str, loader_type: str):
"""Extracts data from provided URLs using specified loader type.
Args:
urls (str): Comma-separated URLs to extract data from.
loader_type (str): Type of loader to use for data extraction.
Returns:
tuple: A tuple containing the extracted data in JSON format and as a list of Document objects.
Returns error messages if an exception occurs.
"""
try:
urls = urls.split(',')
data = []
# Instantiate the selected loader based on loader_type
if loader_type == 'AsyncHtmlLoader':
loader = AsyncHtmlLoader(urls)
elif loader_type == 'UnstructuredURL':
loader = UnstructuredURLLoader(urls=urls)
elif loader_type == 'RecursiveURL':
loader = RecursiveUrlLoader(
url=urls[0], max_depth=2, extractor=lambda x: Soup(x, "html.parser").text
)
elif loader_type == 'SeleniumURL':
loader = SeleniumURLLoader(urls=urls)
elif loader_type == 'SeleniumURLH':
loader = SeleniumURLLoader(urls=urls, headless=False)
elif loader_type == 'PlaywrightURL':
loader = PlaywrightURLLoader(urls=urls)
elif loader_type == 'PubMed':
loader = PubMedLoader(urls[0])
elif loader_type == 'NewsURL':
loader = NewsURLLoader(urls)
elif loader_type == 'WebBaseLoader':
loader = WebBaseLoader(urls)
else:
return "Not Implemented. Development in Progress", "Work In Progress"
# Load data using the selected loader
data = loader.load()
# Convert data to JSON format
jsonData = []
for item in data:
jsonData.append(item.to_json())
return jsonData, data, urls[0]
except Exception as err:
return "An Error Occurred. Contact Developer" + str(err), "Error Occured. Boom"
# ------------------------------------------------------------------------------
# WEB DATA AND SCREENSHOT
# ------------------------------------------------------------------------------
def take_webdata(url):
options = webdriver.ChromeOptions()
options.add_argument('--headless')
options.add_argument('--no-sandbox')
options.add_argument('--disable-dev-shm-usage')
try:
wd = webdriver.Chrome(options=options)
wd.set_window_size(1080, 720)
wd.get(url)
wd.implicitly_wait(5)
page_title = wd.title
screenshot = wd.get_screenshot_as_png()
except WebDriverException as e:
return Image.new('RGB', (1, 1)), page_title
finally:
if wd:
wd.quit()
return Image.open(BytesIO(screenshot)) , page_title
# ------------------------------------------------------------------------------
# GRADIO
# ------------------------------------------------------------------------------
# Define choices for the dropdown menu
choices = [
'AsyncHtmlLoader', 'UnstructuredURL', 'RecursiveURL', 'PubMed',
'WebBaseLoader', 'Scrapy', 'PySpider', 'Beautiful Soup',
'SeleniumURL', 'SeleniumURLH', 'PlaywrightURL', 'NewsURL',
]
# Create the Gradio interface
with gr.Blocks(theme="sudeepshouche/minimalist") as demo:
extracted_url = gr.State() # Use gr.State() to store the URL
screenshot_output = gr.State()
title_output = gr.State()
gr.Markdown("# The Big Scraper")
with gr.Tab("Scraped"):
with gr.Row():
with gr.Column():
url_input = gr.Textbox(label="Enter your comma separated URLs here")
loader_dropdown = gr.Dropdown(choices=choices, label="Pick your Loader from here")
btn = gr.Button("Extract Data")
with gr.Column():
screenshot_output = gr.Image(label="Screenshot")
title_output = gr.Textbox(label="Page Title")
json_output = gr.JSON(label="Extracted Data (JSON)")
text_output = gr.Textbox(label="Extracted Data (Text)")
btn.click(extractDataFromUrls, inputs=[url_input, loader_dropdown], outputs=[json_output, text_output, extracted_url]) \
.then(take_webdata, inputs=extracted_url, outputs=[screenshot_output, title_output], queue=True)
# Launch the Gradio interface
demo.launch(share=True)