by UnityAI

AI-Powered Multi-User Web Scraper

Test this app for free
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import logging
from flask import Flask, url_for, request, session
from gunicorn.app.base import BaseApplication
from routes import routes as routes_blueprint
from authentication import auth, auth_required
from models import db, User
from abilities import apply_sqlite_migrations

# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

def create_app():
    app = Flask(__name__, static_folder='static')
    app.secret_key = 'supersecretkey'
    app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///database.sqlite'
    db.init_app(app)

    with app.app_context():
        apply_sqlite_migrations(db.engine, db.Model, 'migrations')

    app.register_blueprint(routes_blueprint)
    app.register_blueprint(auth)
Get full code

Frequently Asked Questions

How can businesses benefit from using the AI-Powered Multi-User Web Scraper?

The AI-Powered Multi-User Web Scraper offers several benefits for businesses: - Efficient data collection: Quickly extract valuable information from websites, saving time and resources. - Customizable extraction: The platform allows for extracting various types of data, including contact information, social media links, company details, and pricing information. - Multi-user support: Enables team collaboration and centralized management of scraping tasks. - Task history: Keeps track of all scraping tasks, allowing for easy reference and analysis of collected data. - AI-powered extraction: Utilizes advanced AI to intelligently extract relevant information, improving accuracy and reducing manual effort.

What industries could benefit most from implementing the AI-Powered Multi-User Web Scraper?

The AI-Powered Multi-User Web Scraper can be valuable for various industries, including: - Sales and Marketing: Gather lead information and competitor analysis. - Market Research: Collect data on market trends, pricing, and company information. - Recruitment: Extract contact details and company information for potential candidates or employers. - E-commerce: Monitor competitor pricing and product information. - Real Estate: Gather property listings and contact information. - Journalism and Media: Collect data for investigative reporting and fact-checking.

How does the AI-Powered Multi-User Web Scraper ensure compliance with website terms of service and legal regulations?

While the AI-Powered Multi-User Web Scraper provides powerful data extraction capabilities, it's crucial for users to ensure compliance with legal and ethical standards: - The platform does not bypass website security measures or access private information. - Users are responsible for adhering to each website's terms of service and robots.txt file. - The scraper includes customizable delays between requests to avoid overloading target websites. - Users should be aware of and comply with data protection regulations like GDPR when collecting and storing personal information. - It's recommended to implement additional features like IP rotation and user-agent switching to further ensure responsible scraping practices.

How can I extend the AI-Powered Multi-User Web Scraper to support additional extraction types?

To add new extraction types to the AI-Powered Multi-User Web Scraper, you'll need to modify the routes.py file. Here's an example of how to add a new extraction type for product information:

```python # In routes.py

@routes.route("/scrape", methods=['POST']) def scrape_url(): # ... existing code ...

   prompts = {
       # ... existing prompts ...
       'product': "Extract product information from this URL. Include product names, descriptions, and specifications.",
   }

   schemas = {
       # ... existing schemas ...
       'product': {
           "type": "object",
           "properties": {
               "products": {
                   "type": "array",
                   "items": {
                       "type": "object",
                       "properties": {
                           "name": {"type": "string"},
                           "description": {"type": "string"},
                           "specifications": {"type": "array", "items": {"type": "string"}}
                       }
                   }
               }
           }
       }
   }

   # ... rest of the function ...

```

You'll also need to update the HTML form in home_logged_in.html to include the new option and modify the scraper.js file to handle the new extraction type when displaying results.

How can I customize the authentication system in the AI-Powered Multi-User Web Scraper?

The AI-Powered Multi-User Web Scraper uses a flexible authentication system. To customize it, you can modify the auth_required decorator in the authentication.py file. Here's an example of how to add allowed domains and users:

```python # In authentication.py

def auth_required(protected_routes=[]): def decorator(): def decorated_view(): if request.endpoint not in protected_routes or request.endpoint == 'static': return None return flask_app_authenticator( allowed_domains=["example.com", "company.org"], allowed_users=["user1@example.com", "user2@company.org"], logo_path="/static/images/logo.png", app_title="My Custom Scraper", custom_styles={ # ... existing styles ... "button": "background-color: #4CAF50; color: white; / other styles /" }, session_expiry=3600 # Set session to expire after 1 hour )() return decorated_view return decorator ```

This customization adds domain and user restrictions, sets a custom logo and app title, modifies the button style, and sets a session expiry time. Remember to update your HTML templates to reflect any visual changes made in the authentication customization.

Created: | Last Updated:

Multi-user web scraping platform with AI-powered content extraction for emails and phone numbers, allowing users to save and manage scraping tasks.

Here's a step-by-step guide for using the AI-Powered Multi-User Web Scraper template:

Introduction

This template provides a multi-user web scraping platform with AI-powered content extraction for emails and phone numbers. It allows users to save and manage scraping tasks, making it an efficient tool for data collection and analysis.

Getting Started

To begin using this template:

  1. Click the "Start with this Template" button in the Lazy Builder interface.

Test the Application

After starting with the template:

  1. Click the "Test" button in the Lazy Builder interface.
  2. This will initiate the deployment of the app and launch the Lazy CLI.

Using the Web Scraper

Once the application is deployed:

  1. Lazy will provide a dedicated server link to access the web application.
  2. Open the provided link in your web browser.

  3. You'll be presented with a landing page. Click the "Get Started" button to proceed.

  4. If you're a new user, you'll be automatically authenticated and redirected to the main scraping interface.

  5. To scrape a website:

  6. Enter the URL you want to scrape in the input field.
  7. Choose the type of information you want to extract from the dropdown menu:
    • Contact Information
    • Social Media Links
    • Company Information
    • Pricing Information
    • Custom Extraction (allows you to enter a custom prompt)
  8. If you selected "Custom Extraction," enter your specific extraction requirements in the provided text area.
  9. Click the "Scrape" button to initiate the scraping process.

  10. The application will display a loading modal while scraping the webpage.

  11. Once complete, the extracted information will be displayed on the page.

  12. Your scraping history is automatically saved and can be viewed in the "Scraping History" section at the bottom of the page.

  13. To view results from a previous scraping task, click the "View Results" button next to the respective task in the history table.

Integrating the Web Scraper

This web scraper is designed to be used as a standalone application and doesn't require integration with external tools. Users can access and use the scraper directly through the web interface provided by Lazy.

Additional Features

  • The sidebar provides quick navigation and user profile information.
  • The application supports multiple users, with each user's scraping tasks and history kept separate.
  • The AI-powered extraction can handle various types of information, making it versatile for different scraping needs.

By following these steps, you'll be able to effectively use the AI-Powered Multi-User Web Scraper to extract and manage web data for your projects.



Here are the top 5 business benefits of this AI-Powered Multi-User Web Scraper template:

Template Benefits

  1. Efficient Lead Generation: Quickly extract contact information from websites, enabling businesses to build targeted lead lists for sales and marketing campaigns.

  2. Competitive Intelligence: Easily gather and analyze competitor information, including pricing, product details, and company data, to inform strategic decision-making.

  3. Automated Data Collection: Save time and resources by automating the process of collecting structured data from multiple web sources, reducing manual data entry efforts.

  4. Customizable Extraction: Flexibility to extract various types of information (contact, social media, company details, pricing) or create custom extraction tasks, adapting to diverse business needs.

  5. User Management and Task History: Multi-user support with individual task histories, allowing teams to collaborate, track progress, and manage web scraping projects efficiently.

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