Extend Stock Scraper for stock markets
Budget: $10 – $30 USD
I already have a fully functioning script that pulls daily and historical price data. You can see exactly how it works before touching anything.
The enhancement is straightforward: keep the same data source, but widen the coverage so the script can also fetch
• additional stock tickers I pass in on demand, and
• cryptocurrency price data (top coins plus any symbol list I provide).
Key goals
— Re-use the existing scraping logic wherever possible; I am not interested in switching data providers.
— Maintain or improve the current run-time speed once the new endpoints are added.
— Preserve the present CSV / JSON output format so my downstream analytics jobs stay untouched.
Deliverables
1. Updated, well-commented source code with the new instrument handlers.
2. A brief change log summarising what you touched.
3. A quick demo run (screenshots or sample files) showing fresh crypto and extra-stock data successfully captured.
The project should be a comfortable task for anyone familiar with Python, BeautifulSoup / requests or similar tooling; if you prefer Selenium or another approach that still meets the speed target, that’s fine too.
The enhancement is straightforward: keep the same data source, but widen the coverage so the script can also fetch
• additional stock tickers I pass in on demand, and
• cryptocurrency price data (top coins plus any symbol list I provide).
Key goals
— Re-use the existing scraping logic wherever possible; I am not interested in switching data providers.
— Maintain or improve the current run-time speed once the new endpoints are added.
— Preserve the present CSV / JSON output format so my downstream analytics jobs stay untouched.
Deliverables
1. Updated, well-commented source code with the new instrument handlers.
2. A brief change log summarising what you touched.
3. A quick demo run (screenshots or sample files) showing fresh crypto and extra-stock data successfully captured.
The project should be a comfortable task for anyone familiar with Python, BeautifulSoup / requests or similar tooling; if you prefer Selenium or another approach that still meets the speed target, that’s fine too.
Related categories:
PHP
Python
Data Processing
Web Scraping
Software Architecture
BeautifulSoup
Selenium Webdriver
Data Analysis
Selenium