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Built a job listings scraper in Python — pulls title, company, location & apply links straight to CSV. Open to freelance web scraping work 🚀"
#python #webscraping #datascraper #freelance #buildinpublic #student #opentowork
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Got tired of dealing with clunky, rate-limited 3rd-party scrapers, so I built my own.
Just testing out my custom Google Maps lead generation scraper, built on Next.js, Playwright, and Supabase. It pulls business listings, finds public contact emails, and automatically dedupes everything before saving.
A few things that make it completely frictionless:
Search and initiate scrapes directly from the UI—no need to even open Google Maps.
Added a Queue system so you can run multiple scrapes simultaneously.
Real-time progress tracking (you can see the live log running in Screenshot 2026-07-07 173222.png).
I am thinking about open-sourcing the whole thing. Should I drop the code on my GitHub?
Also, I need a better name for it. My working title is "Glead", but I am completely open to suggestions. Let me know what you think!
Nice build. If you open-source it, I would prioritize making the architecture and queue system easy to extend, that's usually what gets developers to adopt and contribute.
121 Review : AI-Powered Performance Review Tool
About : This project presents the design of an AI-driven employee review platform aimed at making performance evaluations more accurate, unbiased, and efficient. With features like team overview, recurring 1:1 meeting reminders, employee management, and structured review templates, the tool helps managers provide meaningful feedback effortlessly. The clean UI ensures a smooth experience while offering export options (PDF, email) and attachment support.
Overiew : The AI Employee Review Website provides a smart and organized approach to performance evaluation. With AI-generated insights, a clean dashboard, ready-to-use review templates, reminders, and export options, it makes reviews faster, fairer, and more effective for both managers and employees.
📩 Available for SaaS , AI Mobile Apps, Web dashboards as a Full Stack AI Engineer.
👉 Book a call: https://calendly.com/mehditechnologiesofficial
👉 Behance: https://www.behance.net/mehdi_technologies
👉 Portfolio: https://www.mehditechnologies.com/case-studies
Developed a Python web scraper to collect job listings from a public job website. The scraper extracts job title, company name, location, salary (when available), posting date, and job link. The collected data is cleaned and exported to Excel for easy analysis. Built using Python, Requests, BeautifulSoup, and Pandas with organized, reusable code.
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