Historical Stock Data Scraper

@SamirBanna

Hello, I’m a Senior Software Engineer with extensive experience in Python automation and web scraping & C# WindowFormApp and WFP. I’ve carefully reviewed your requirements and I can deliver a reliable, production-ready solution — not a quick workaround. ✅ Clean and maintainable code ✅ Clear communication ✅ On-time delivery I’d be happy to discuss your project details and propose the best technical approach. Best regards, Samir

@FaizalShaik80

Hi, I would love to help. I went through your project details and found that I worked on almost the exact same task about two months ago. I am an experienced and specialized freelancer with 6+ years of practical experience in Python, Excel, Web Scraping, API and I’m able to complete and deliver this project promptly. Feel free to visit my profile to check latest work and feedback from clients. Looking forward to working with you, connect in chat. Warm regards.

@mascotindia123

Hii, I can help you build a reliable script to extract historical stock data for your tickers and export it into a clean, tab-delimited .txt file ready for direct use in pandas. I’ll ensure proper error handling for invalid symbols and accurate formatting of OHLC, volume, and adjusted data. The solution will be lightweight, easy to run on Windows, and designed for repeat use with minimal setup. I’ll use efficient methods (API or scraping) to ensure accuracy and consistency. Regards, Harpreet Singh

@datahub0

Hello, I can deliver a clean, fully reproducible solution within a few hours—accurate historical data + a simple script you can rerun anytime on Windows. I’ll pull full OHLCV (+ adjusted close) using a reliable source (API preferred over scraping for stability), handle invalid/delisted tickers gracefully, and export everything into a perfectly structured tab-delimited .txt file that loads directly into pandas without cleanup. The script will be lightweight (Python: requests/pandas or yfinance), with clear headers, proper date ordering, and zero formatting issues. You’ll get: • Clean .txt dataset • Ready-to-run script (one command execution) • Minimal setup instructions If a ticker has missing dates or partial history, do you want gaps preserved (for accuracy) or forward-filled for continuity?

@ayesha86664

Hi there! You need historical stock data in a clean, reusable format, and the real challenge is handling invalid tickers and site quirks while producing a file that loads directly into pandas without extra cleaning. I recently built a Python script that pulled historical prices for multiple tickers using a mix of official APIs and fallback scraping, producing tab-delimited outputs that were fully ready for analysis. It included error handling for delisted symbols and ensured accurate headers and date ordering. I will create a lightweight Python script that fetches your tickers’ historical OHLCV data, validates entries, and outputs a well-structured .txt file ready for immediate use in pandas or Excel. Check our work: https://www.freelancer.com/u/ayesha86664 Do you prefer the script to use only official APIs, or is web scraping acceptable for missing data? I am ready to start — just say the word. Best Regards, Ayesha

@shafeeqm6

hey i think you would like to read this I noticed your need for a lightweight, reusable script that fetches clean, comprehensive historical stock data and outputs perfectly formatted tab-delimited text files. Leveraging Python with libraries like requests and pandas, I ensure robust error handling and data validation so your .txt files import seamlessly with all fields accurate and ordered. Here's what I will deliver: • Python script that handles ticker lists and skips invalid symbols • Clean, tab-delimited .txt files with clear headers and sorted dates • Detailed instructions for simple setup and execution on Windows I would like to discuss more about the project. You lose nothing. If you create milestones, the payment will be fully protected and you can use this message as proof that you will be fully refunded of your money. Kind Regards Shafeeq

@manoval09

I'll build you a reusable Python script that pulls complete historical OHLCV data from a reliable finance API and outputs clean, tab-delimited .txt files ready to analyze. Error handling ensures invalid or delisted tickers skip gracefully without breaking the process. $30, delivered in 5 days. You'll have a script you can run anytime to refresh your data. Best regards, Val