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AI Scraper Selenium App
This video demonstrates how to use the AI Scraper Selenium App template.
import json
from abilities import llm_prompt
from fastapi import Request
import logging
import uvicorn
from fastapi import FastAPI
from fastapi.responses import HTMLResponse
from fastapi.templating import Jinja2Templates
from fastapi.staticfiles import StaticFiles
from selenium_utils import SeleniumUtility
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
app = FastAPI()
templates = Jinja2Templates(directory="templates")
app.mount("/static", StaticFiles(directory="static"), name="static")
@app.get("/", response_class=HTMLResponse)
async def form_page(request: Request):
return templates.TemplateResponse("form.html", {"request": request})
@app.post("/process-page-info", response_class=HTMLResponse)Frequently Asked Questions
What are some business applications for the AI Scraper Selenium App?
The AI Scraper Selenium App has numerous business applications, including: - Market research: Gathering competitor pricing and product information - Lead generation: Extracting contact details from business directories - Content aggregation: Collecting news articles or blog posts for analysis - Price monitoring: Tracking product prices across multiple e-commerce sites - Job market analysis: Scraping job listings to identify industry trends
How can the AI Scraper Selenium App improve decision-making processes in a business?
The AI Scraper Selenium App can enhance decision-making by: - Providing real-time data for competitive analysis - Automating the collection of market intelligence - Offering insights into consumer behavior through review and comment scraping - Enabling trend forecasting based on large-scale data collection - Facilitating data-driven pricing strategies
What industries could benefit most from using the AI Scraper Selenium App?
Industries that could greatly benefit from the AI Scraper Selenium App include: - E-commerce: For price comparison and product research - Finance: For gathering stock market data and financial news - Real estate: For collecting property listings and market trends - Travel: For aggregating flight prices and hotel information - Healthcare: For compiling medical research and drug information
How can I modify the AI Scraper Selenium App to handle dynamic content loading on websites?
To handle dynamic content loading, you can add a wait function in the SeleniumUtility class. Here's an example of how to implement this:
```python from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.by import By
class SeleniumUtility: # ... existing code ...
def wait_for_element(self, by, value, timeout=10):
return WebDriverWait(self.driver, timeout).until(
EC.presence_of_element_located((by, value))
)
def get_page_text(self, url: str):
try:
self.open_url(url)
# Wait for the body to load
body = self.wait_for_element(By.TAG_NAME, "body")
return body.text
except Exception as e:
logger.error(f"Failed to retrieve page text for {url}: {e}")
finally:
self.close()
```
This modification allows the AI Scraper Selenium App to wait for specific elements to load before extracting the page content.
Can the AI Scraper Selenium App handle websites with CAPTCHAs, and if so, how?
Yes, the AI Scraper Selenium App has a basic mechanism to handle CAPTCHAs. In the process_page_info function, there's a retry loop that checks for the presence of a CAPTCHA:
python
retries = 0
while "Captcha" in page_text and retries < 5:
page_text = selenium_util.get_page_text(url)
retries += 1
This code attempts to reload the page up to 5 times if a CAPTCHA is detected. However, for more sophisticated CAPTCHA handling, you might need to integrate a CAPTCHA-solving service or implement image recognition techniques. It's important to note that bypassing CAPTCHAs may violate some websites' terms of service, so always ensure you have permission to scrape the target website.
Created: | Last Updated:
Here's a step-by-step guide on how to use the AI Scraper Selenium App template:
Introduction
The AI Scraper Selenium App is a powerful tool that allows you to scrape web pages and extract information using Selenium and AI. This template provides a foundation for building web scraping applications with a user-friendly interface.
Getting Started
- Click "Start with this Template" to begin using the AI Scraper Selenium App template in the Lazy Builder interface.
Test the App
- Press the "Test" button to deploy the app and launch the Lazy CLI.
Using the App
-
Once the app is deployed, you'll receive a server link to access the web interface.
-
Open the provided link in your web browser to access the AI Scraper Selenium App interface.
-
You'll see a form with two input fields:
- URL: Enter the web page URL you want to scrape.
-
Question: Enter a question about the information you want to extract from the page.
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Click the "Submit" button to process your request.
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The app will use Selenium to scrape the specified web page and extract relevant information based on your question.
-
After processing, you'll see a table displaying the extracted information on the results page.
How It Works
- The app uses Selenium to navigate to the specified URL and extract the page content.
- It then uses an AI model (GPT-4) to analyze the page content and answer your question.
- The results are presented in a structured JSON format, which is then displayed in a table on the results page.
Customization
You can customize this template by modifying the following files:
main.py: Adjust the FastAPI routes and logic for processing requests.selenium_utils.py: Modify the Selenium utility class to add more scraping functionality.form.htmlandpage_information.html: Customize the HTML templates for the user interface.
Remember that all customizations should be done within the Lazy Builder interface.
By following these steps, you'll be able to use the AI Scraper Selenium App template to create powerful web scraping applications with AI-powered information extraction.
Template Benefits
-
Automated Web Data Extraction: This template provides a robust foundation for businesses to automatically extract data from websites, even those with dynamic content or anti-scraping measures, enabling efficient data collection for market research, competitor analysis, or price monitoring.
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Flexible Question-Answering System: The integration of an AI-powered question-answering capability allows businesses to quickly obtain specific information from web pages, enhancing decision-making processes and reducing manual research time.
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Scalable Web Automation: By utilizing Selenium, this template offers a scalable solution for web automation tasks, such as form filling, button clicking, and navigating complex web applications, which can significantly improve operational efficiency.
-
Customizable Data Processing: The template's structure allows for easy customization of data processing logic, enabling businesses to tailor the scraping and analysis to their specific needs, whether it's for content aggregation, lead generation, or trend analysis.
-
User-Friendly Interface: With a simple web interface for input and output, this template provides a accessible way for non-technical staff to interact with the scraping and AI analysis tools, democratizing access to web data within an organization.
Technologies
Enhance HTML Development with Lazy AI: Automate Templates, Optimize Workflows and More
Enhance Selenium Automation with Lazy AI: API Testing, Scraping and More
Python App Templates for Scraping, Machine Learning, Data Science and More
