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$
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I will build a custom web scraper and data extraction script
Ben R
About this gig
Custom Web Scraping & Data Extraction
Need public web data harvested cleanly without breaking compliance frameworks? I engineer custom Python web scrapers to collect public data and deliver it in structured formats. Using standard libraries like BeautifulSoup and requests, I deliver lightweight, standalone scripts optimized for native terminal execution.
What I Build:
- Data Extraction: Automated collection from public directories, court portals, and registries.
- Compliance Logic: Built-in rate limiting, robots.txt adherence, and request delays to ensure server-friendly runs.
- Structured Output: Direct parsing of raw HTML into clean CSV or JSON master schemas.
Why Choose My Scripts:
- Zero Dependencies: Highly portable code that won't break on environment updates.
- Console Logs: Real-time terminal status reporting for transparent tracking.
- Full Handoff: Complete source code with clear markdown execution guides.
Note: I only build ethical, public-data software. I do not bypass login screens, paywalls, or CAPTCHA security.
Please message me with the target URL and required fields before ordering to confirm site feasibility!
Get to know Ben R
Ben R
Backend Automation, Data Pipeline Engineer
- FromUnited States
- Member sinceJul 2025
- Avg. response time9 hours
Languages
English
I am a backend automation specialist and systems engineer focusing on custom Python infrastructure. I specialize in building data ingestion pipelines, automated validation tools, and lightweight scripts that streamline business workflows.
I focus entirely on the backend plumbing that powers your data. Whether you need a command-line script to clean messy CSV/JSON exports, an automated tracking loop, or a structured parsing engine, I deliver clean, zero-dependency code built for efficiency and stability.
FAQ
What does a "zero-dependency script" mean for my project?
It runs natively on the Python Standard Library without installing external packages like Pandas via pip. This ensures high security, lightweight execution, and zero maintenance overhead from broken third-party library updates.
What raw data formats do you work with?
I process structured and semi-structured flat files, primarily CSV, JSON, TSV, and raw text exports. The script will parse and map custom or nested data structures into your required output layout.
Do you provide a graphical UI or web dashboard?
No. I focus exclusively on backend data utilities executed via the command line interface (CLI) or background processes. This ensures maximum speed, stability, and reliability for automated data plumbing.
