Projects using Scrapy in Delhi
Projects using Scrapy in Delhi
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issac paul
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High Quality Expired Domains (Auction Domains)
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Nicolas Langhi
Web Scraping & Data Extraction Solutions | Python & Scrapy Developed automated data extraction solutions to collect, process, and deliver business-critical information from websites and online platforms. Full Description: As part of my work at Cotefácil, I developed web scraping solutions using Python and Scrapy to gather information from partner platforms and e-commerce websites. The extracted data was processed and integrated into internal systems, supporting automation workflows and business operations. The focus was on creating reliable, maintainable, and scalable scraping solutions capable of handling large volumes of information efficiently. Technologies: Python, Scrapy, Data Extraction, Web Crawling, Automation, Data Processing. Key Achievements: ✔ Developed scalable web scraping solutions using Scrapy ✔ Automated data collection from external platforms ✔ Reduced manual effort through automated extraction workflows ✔ Supported business integrations with high-quality structured data
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Muhammad Haseeb
Built an autonomous AI agent that scrapes and updates 500K+ awards from across the web. The system intelligently finds new awards and refreshes existing data, reducing manual work by 80% and slashing update cycles from 6 months to just 3-4 weeks. Runs independently with minimal supervision.
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Riadh
Local City Bus Lines Monitoring and Stops Identification
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Muhammad Nickopusan Guntara
Centris Property Listings Scraper
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Adrian Gallard
Sacramento Housing
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Justin Stevenson
Enhancing Parts Database through Advanced Web Scraping
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Mamadou Diao Bah
Stop Guessing. Start Scaling. Many B2B companies rely on cold lists that are often outdated or incomplete. My client needed high-quality leads for a specific niche (Series A funded SaaS in Europe). The Solution: I built an automation stack that scrapes public company data (funding, tech stack, key personnel) and cross-references it with LinkedIn/other public sources for accurate contact details. The Impact: Lead qualification time dropped from 3 hours per prospect to 15 minutes, resulting in a 40% increase in sales meetings within the first quarter. This isn't just data; it's sales velocity. Ready to turn public data into private revenue? Let's connect.
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Ikenna Charles Abara
You will get Web Scraping, Data Extraction, Data extraction and
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Caio Alcantara
Agency Leads
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Adetunji Ogunyemi
Fraud Prevention Project AI/ML Development
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Yohannes Tsegaye Mr.
getimg.ai Links.txt
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Kamal Ba
In Progress
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Adeena Lathiya
GitHub - rijashaheed/BitBulletin-frontend: Final year project’s…
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Ekky Armandi
Real Estate Listings Aggregator Development
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Muaz Ashraf
Web scraping
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