Introduction:

Staying informed about investment opportunities is critical in the fast-paced world of finance. Web scraping, or data extraction from websites, can be an effective tool for monitoring investment platforms. We will look at how Python-based web scraping can be used to follow Shariah investment projects on the Dana Syariah website in this article. We will also investigate the use of wirepusher notifications to notify users about projects with an excellent 18% return on investment.

Web scraping for Investment Opportunities

As technology advances, the incorporation of automation and programming has become critical for financial decision-making. Python, a powerful programming language, provides a variety of tools and packages that enable developers to collect and analyze data from websites. Investors can obtain a competitive advantage by spotting lucrative investment possibilities using Python web scraping techniques.

Python Web Scraping

Python includes several sophisticated web scraping packages, including BeautifulSoup, lxml, and requests. BeautifulSoup and lxml make it easier to parse and extract data from HTML or XML documents, while the requests package makes it simple to retrieve web page content. These modules, together with the Python language’s versatility, make web scraping a simple and efficient task.

Tracking Shariah Investment Projects on Dana Syariah

Dana Syariah is a Shariah-compliant investment platform. Using web scraping techniques, investors can search for projects that meet their investment criteria automatically. In our example, we will concentrate on projects with a whopping 18% return on investment.

The Code: An Explanation Step-by-step instructions:

Let’s look at a sample Python code snippet that shows how to scrape the Dana Syariah website and create wirepusher notifications for profitable ventures. This code looks to be a Python server-side script for a project called “Project Hunter v2.” The script starts an HTTP server on port 9999 that replies to GET and POST queries.

The code is broken down as follows:

Importing necessary modules:

  • cgi: Used for parsing CGI (Common Gateway Interface) headers.
  • requests: Used for making HTTP requests.
  • re: Used for regular expression operations.
  • datetime: Used for working with dates and times.
  • time: Used for measuring time intervals.
  • logging: Used for logging messages.
  • BaseHTTPRequestHandler, HTTPServer: Used for creating a custom HTTP server.
  • BeautifulSoup: Used for HTML parsing.
  • hashlib: Used for hashing data.

Configuring logging:

Configures the logging module to log messages in a certain format and saves them to the “projecthunter.log” file. The ProjectHunterHttpServer class is defined as follows:

The ProjectHunterHttpServer class is defined as follows:

  • Overrides the methods of BaseHTTPRequestHandler to handle GET and POST requests.
  • Requests to the /wakesession and /shutdown endpoints are processed.
  • POST requests to the /projecthunter endpoint are processed by parsing the form input, obtaining the prosentase and durasi values, and invoking the projectInquiry function.

Defining the main function:

  • Sets up the HTTP server, sends a notification using the wirepusher.com service, and starts the server to listen for incoming requests.
  • If the server is interrupted by a keyboard interrupt (Ctrl+C) or an OSError, it shuts down gracefully.

Defining the projectInquiry function:

  • Performs a web scraping operation on the https://www.danasyariah.id/penggalangan-berlangsung page to extract project information. The function iterates over the pages, extracts project details such as name, return percentage, required funding, duration, etc., and checks if the project meets certain criteria. If a project meets the criteria, a notification is sent using the wirepusher.com service.

Defining the getAllProject function:

  • Performs web scraping to count the number of projects on the https://www.danasyariah.id/penggalangan-berlangsung page that meet a certain return percentage threshold.
  • The function iterates over the pages, extracts the return percentage for each project, and increments the count if the threshold is met.

The __name__ == "__main__" block:

  • Calls the main function to start the server and execute the script.

Wirepusher alerts

Wirepusher is a notification service that allows customers to get push alerts across multiple platforms, including mobile devices. Investors can stay alerted about new initiatives that satisfy their investment requirements by integrating Wirepusher into the web scraping code. Notifications can include information such as the project’s ROI, remaining funding, and duration.

Invoke Service

install wirepusher on your smartphone to get notification and put your wirepusher id into wirepusherID="YOUR_WIREPUSHER_ID" in above code

Now, run code and invoke using curl into

curl -X POST -F 'prosentase=18' - F 'durasi=10' http://localhost:9999/projecthunter

Conclusion

Python-based web scraping provides a powerful tool for Dana Syariah investors looking for Shariah-compliant investment alternatives. Investors can extract important data from the Dana Syariah website by leveraging libraries such as BeautifulSoup, lxml, and requests, identifying projects with an 18% return on investment. Furthermore, the integration of Wirepusher notifications ensures that lucrative investment opportunities are alerted in real time. Use web scraping to make more educated investment selections and enhance your Shariah investing portfolio.