by we

Web Scraper with Google Sign-In Integration

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import logging
from gunicorn.app.base import BaseApplication
from app_init import create_initialized_flask_app
from abilities import flask_app_authenticator

# Flask app creation should be done by create_initialized_flask_app to avoid circular dependency problems.
app = create_initialized_flask_app()

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

# Apply authentication to the app
app.before_request(flask_app_authenticator(
    allowed_domains=None,
    allowed_users=None,
    logo_path=None,
    app_title="Web Text Extractor",
    custom_styles=None,
    session_expiry=None
))

class StandaloneApplication(BaseApplication):
    def __init__(self, app, options=None):
Get full code

Frequently Asked Questions

How can the Web Text Extractor be used for business intelligence?

The Web Text Extractor can be a valuable tool for business intelligence by allowing companies to easily gather and analyze text data from various websites. For example, businesses can use it to extract product descriptions, customer reviews, or competitor pricing information. This data can then be used to inform pricing strategies, improve product offerings, or gain insights into market trends.

Is the Web Text Extractor suitable for content marketing research?

Absolutely! The Web Text Extractor is an excellent tool for content marketing research. It can help marketers quickly gather information on trending topics, industry news, or competitor content. By extracting text from multiple sources, content creators can efficiently research and compile information for blog posts, whitepapers, or social media content, saving time and improving the quality of their output.

How can the Web Text Extractor be integrated into existing business workflows?

The Web Text Extractor can be easily integrated into existing business workflows through its simple web interface. For instance, a company's research team could use it as part of their daily routine to gather information from specific websites. Additionally, the extracted text can be copied and pasted into other tools or databases for further analysis or storage. In the future, API integration could be developed to allow for automated data extraction and processing within existing business systems.

How can I modify the Web Text Extractor to include additional HTML parsing options?

To add more HTML parsing options to the Web Text Extractor, you can modify the home_route function in the routes.py file. For example, to extract only paragraph text, you could update the function like this:

python @app.route("/", methods=['GET', 'POST']) def home_route(): extracted_text = "" if request.method == 'POST': url = request.form.get('url') parse_option = request.form.get('parse_option', 'all') if url: try: response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') if parse_option == 'paragraphs': extracted_text = '\n'.join([p.get_text() for p in soup.find_all('p')]) else: extracted_text = soup.get_text() except Exception as e: logger.error(f"Error extracting text: {str(e)}") extracted_text = "Error occurred while extracting text." return render_template("home.html", extracted_text=extracted_text)

You would also need to update the HTML form in home.html to include the new parsing option.

How can I implement rate limiting in the Web Text Extractor to prevent abuse?

To implement rate limiting in the Web Text Extractor, you can use the Flask-Limiter extension. First, install it using pip:

pip install Flask-Limiter

Then, modify your app_init.py file to include rate limiting:

```python from flask_limiter import Limiter from flask_limiter.util import get_remote_address

def create_initialized_flask_app(): app = Flask(name, static_folder='static') # ... existing initialization code ...

   limiter = Limiter(
       app,
       key_func=get_remote_address,
       default_limits=["200 per day", "50 per hour"]
   )

   @limiter.limit("1 per 5 seconds")
   @app.route("/", methods=['GET', 'POST'])
   def home_route():
       # ... existing route code ...

   return app

```

This configuration will limit each IP address to 1 request every 5 seconds, 50 requests per hour, and 200 requests per day to the home route of the Web Text Extractor. Adjust these limits as needed for your specific use case.

Created: | Last Updated:

A web application that scrapes text from specified URLs using BeautifulSoup and includes Google Sign-In for user authentication. If you know how to fix multiple accounts DM <@1205039741754671147>

Here's a step-by-step guide for using the Web Scraper with Google Sign-In Integration template:

Introduction

This template provides a web application that allows users to extract text from specified URLs using BeautifulSoup. It includes Google Sign-In for user authentication, ensuring secure access to the text extraction functionality.

Getting Started

  1. Click "Start with this Template" to begin using this template in the Lazy Builder interface.

Test the Application

  1. Press the "Test" button in the Lazy Builder interface to start the deployment process.

  2. Once the deployment is complete, you'll receive a dedicated server link to access the web application.

Using the Web Scraper

  1. Open the provided server link in your web browser.

  2. You'll be presented with the Google Sign-In page. Use your Google account credentials to log in.

  3. After successful authentication, you'll be redirected to the main page of the Web Text Extractor.

  4. On the main page, you'll see a form with a URL input field and an "Extract Text" button.

  5. Enter the URL of the webpage you want to extract text from in the input field.

  6. Click the "Extract Text" button to initiate the text extraction process.

  7. The extracted text will be displayed below the form in a scrollable pre-formatted text area.

Additional Features

  1. The application includes a header with navigation options:

    • Home: Returns you to the main page
    • Logout: Logs you out of the application
    • Switch Account: Allows you to switch between Google accounts
    • Add Account: Enables you to add another Google account for use with the application
  2. The interface is responsive and works on both desktop and mobile devices.

Integrating the App

This web application is designed to be used as a standalone tool and doesn't require integration with external services. Users can access it directly through the provided server link after deployment.

By following these steps, you'll be able to use the Web Scraper with Google Sign-In Integration template to extract text from web pages securely and efficiently.



Here are 5 key business benefits for this Web Text Extractor template:

Template Benefits

  1. Efficient Data Collection: Enables businesses to quickly extract text content from websites, streamlining research and data gathering processes.

  2. Secure User Authentication: Integrates Google Sign-In, providing a secure and familiar authentication method that reduces friction for users and enhances data protection.

  3. Scalable Architecture: Built with Flask and Gunicorn, the application can handle multiple concurrent users and is easily deployable to cloud platforms for scaling.

  4. Customizable UI: Includes responsive design for both desktop and mobile, allowing businesses to tailor the interface to their brand and user needs.

  5. Extensible Framework: The modular structure with separate routing, database handling, and authentication components makes it easy to add new features or integrate with other business systems.

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