You will get Automated Data Scraping and Consolidation of Stocks/ETFs Performance
Project details
In this project, we've crafted a Python script automating stock performance data extraction from diverse sites. Leveraging web scraping libraries like BeautifulSoup and requests, our process efficiently collects vital stock information, encompassing historical percentage change values.
Our script commences by amassing stock symbols and corresponding URLs, moving on to retrieve stock data for each. Extracting pertinent details from HTML tables, we fortify data reliability with error-handling mechanisms, employing retries for failed requests and user-agent headers mimicking web browsers.
An inherent trait of our code is its adaptable structure, accommodating customization and scalability.
A noteworthy enhancement is our graceful handling of missing data, promoting cohesive data sets by populating vacant cells with apt placeholders, providing a comprehensive stock performance perspective across multiple ETFs.
In essence, our project empowers users with a swift and comprehensive method to aggregate and synthesize stock performance data. This groundwork lays the foundation for in-depth analysis, impactful visualization, and well-informed decision-making.
Our script commences by amassing stock symbols and corresponding URLs, moving on to retrieve stock data for each. Extracting pertinent details from HTML tables, we fortify data reliability with error-handling mechanisms, employing retries for failed requests and user-agent headers mimicking web browsers.
An inherent trait of our code is its adaptable structure, accommodating customization and scalability.
A noteworthy enhancement is our graceful handling of missing data, promoting cohesive data sets by populating vacant cells with apt placeholders, providing a comprehensive stock performance perspective across multiple ETFs.
In essence, our project empowers users with a swift and comprehensive method to aggregate and synthesize stock performance data. This groundwork lays the foundation for in-depth analysis, impactful visualization, and well-informed decision-making.
Data Tool
PythonWhat's included $250
These options are included with the project scope.
$250
- Delivery Time 5 days
- Number of Sources Mined/Scraped 1
- Number of Revisions 2
Optional add-ons
You can add these on the next page.
Additional Page Mined/Scraped
(+ 2 Days)
+$30
Additional Revision
+$10About Faisal
DevOps Engineer, Software Engineer, Developer
Karachi, Pakistan - 9:15 pm local time
I have expertise in:
✔I Amazon Web Services.
✔I Google Cloud Platform.
✔I Infrastructure as Code (Terraform ,Ansible).
✔I Docker.
✔I Kubernetes
✔I Deployment pipelines.
✔I CI/CD using Jenkins
✔I DevOps Methodologies
✔I Shared hosting setup using WHM and Plesk.
✔I Internet of Things.
In addition, I will always make sure that I am giving my 100% best in every work that will be entrusted to me. To be able to produce an outcome that will meet my clients standards.
Thank you.
Steps for completing your project
After purchasing the project, send requirements so Faisal can start the project.
Delivery time starts when Faisal receives requirements from you.
Faisal works on your project following the steps below.
Revisions may occur after the delivery date.
Step 4
If they have something to ask, message me.