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I need a clean, well-structured Excel file containing comprehensive information on metal manufacturing companies. The dataset must include each company’s key details, their full product listings, and up-to-date contact information. Sources you will work with are the companies’ own websites, reputable online directories, and recognised industry publications. Please harvest the data accurately, avoid duplicates, and verify that every record is current. Deliverables • One Excel workbook with separate, clearly labeled sheets (or columns) for company details, product lines, and contact information. • A short note explaining any assumptions, filters, or automated tools/scripts (Python, BeautifulSoup, Selenium, Scrapy, etc.) you used so I can reproduce or update the crawl later. • A quick quality check summary highlighting any gaps you could not fill and why. I’d like the first sample of 25 companies within a few days so we can confirm structure before you proceed to the full scrape. Let me know your estimated turnaround time and any questions you have about data fields or target sources.
Project ID: 40490884
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With my deep expertise in data science and proficiency in Python and web scraping, your project of compiling comprehensive metal manufacturer data is right up my alley. I have a proven track record of successfully leveraging technology to crawl through complex data sources, ensuring accuracy and avoiding any duplicates in the final deliverables. Due to my understanding of the manufacturing industry, I'm also knowledgeable about reputable online directories and industry publications that are key sources for data mining. In addition to delivering a clean and well-structured Excel file as you've outlined, I'll provide you a concise note detailing all my scripts and methodologies used for the crawl. This will give you both transparency and the ability to reproduce or update it later if needed. My analytical skills will ensure that your dataset is transformed into actionable insights without any gaps. If any gaps do arise, I'll proactively explain why they occurred.
₹5,000 INR in 7 days
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4 freelancers are bidding on average ₹4,625 INR for this job

Drawing from my extensive 20 years in the field of Artificial Intelligence, including a strong background in data scraping and Python development, I possess the requisite skills and experience to complete this project skillfully and promptly. I can leverage my wide-spanning python library knowledge, specifically in priorities like ]['Scrapy', 'Selenium' and 'BeautifulSoup'] to proficiently scrape data from diverse sources like websites, industry Furthermore, I can deliver you the first sample of 25 companies within a few days so we can confirm the structure before proceeding with the full scrape. My estimated turnaround time for the full project would be quick considering my efficient skills in defining crawl structures as fast as possible while maintaining linchpin points alongside company details, product lines, and contact information. Lastly, my strong technical foundation coupled with excellent research and problem-solving skills makes me an ideal fit for this engaging data project. encompassing Conclusively, choosing me means selecting professional-yet-friendly collaboration, proficient workmanship, and high-quality results.
₹1,500 INR in 7 days
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New Delhi, India
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Member since Jun 4, 2026
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