Scrape Two URLs to CSV

@jinufeb14

With a comprehensive understanding of data extraction and mining garnered from my extensive experience in the field, I am well-prepared to assist you with scraping the two URLs to CSV. My expertise encompasses a variety of highly efficient web scraping tools such as BeautifulSoup, Scrapy, Selenium, and many more. Moreover, I am adept at handling pagination and dynamic content to ensure vigilant data extraction even if the website alters its layout. My track record of delivering well-structured and clean data in Excel or CSV format aligns with your precise needs for this project. Being a detail-oriented individual with a strong inclination towards accuracy, you can rest assured that the final output will be properly labeled, devoid of duplicates, and undergo proper data validation. Furthermore, as a top-ranking freelancer with exemplary acumen in Python and Software Architecture, I guarantee not only efficient solutions but also scalable ones. I strongly believe that leveraging my remarkable skills in Data Extraction and Web Scraping alongside my resolute attention to detail will not only ensure successful completion of this project but deliver an outcome that exceeds your expectations. Choose me for results that speak for themselves.

@benson2augustine

Hi friend ,we can do it with in ur minimum budget range, I'm trying to get more positive reviews and connections on my profile, so u get a good price and I get a good review and a good connection for future works,it is simple straightforward task,iam a software developer by profession,iam working as a fullstack developer,we can do it using python selenium or even simpler selenium wrapper called helium, if speed is concerned instead of selenium we can mimic xhr requests or API of website to make it even faster ,if from mobile app needed we can unpin ssl and mitm to get APIs,we can also use multiprocessing or multithreading to make concurrency possible, if u r interested let's discuss,we can do in some hrs

@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

@AhmadXpert2410

Hi there, I understand you need to extract detailed, structured company data from the D&B business directory pages, including handling pagination and capturing fields like company details, contacts, and industry information with high accuracy. The key challenge here is dealing with dynamic content and ensuring the final dataset is clean, complete, and properly structured without duplicates. I have strong experience using Python with BeautifulSoup, Selenium, and Scrapy to scrape complex, paginated websites and extract deeply nested data. My approach will involve analyzing the site structure, handling dynamic loading where required, and building a robust scraper that collects all required fields, followed by data cleaning, validation, and deduplication to ensure high-quality output. I will deliver a well-organized Excel/CSV file with clearly labeled columns, ensuring all requested fields are captured as completely as possible. I’ve handled similar directory-style scraping projects before, so I’ll make sure the process is reliable and reusable if you need to scale it further. Regards, Ahmad

@mdabu38

I will scrape both DNB directories with full pagination, delivering clean, deduplicated, fully structured data (including contacts & emails) in Excel/CSV—ready to start now.

@blackrockwise

Hello, I understand you need an experienced web scraping specialist to extract detailed company data from two specific DNB business directory URLs for gasoline stations in Michigan and Ohio. You require a clean, well-structured CSV or Excel file with deduplicated and validated fields including company details and contact information. With extensive experience in Python web scraping libraries such as BeautifulSoup, Scrapy, and Selenium, I have successfully completed similar projects involving dynamic content and pagination, ensuring data accuracy and completeness. My approach includes carefully handling pagination, data validation, and meticulous cleaning to deliver a ready-to-use dataset. I can guarantee high-quality output with all the requested fields properly labeled and organized for your convenience. I am confident this will support your needs effectively and efficiently. Please feel free to reach out to discuss project specifics or any additional requirements. I look forward to collaborating with you on this project and delivering outstanding results.

@workwithsubarna

Hi MD, I'll use Python + Selenium to handle dynamic content and pagination across both URLs, combined with BeautifulSoup for structured data extraction. Each record will capture Company Name, Description, Key Principal, Industry, Address, City, State, Zip, Phone, Website, Email, and Contact Details. Data will be deduplicated, validated, and exported into a clean, well-labeled Excel/CSV file. I have hands-on experience with similar D&B and business directory scraping projects. Turnaround: 2–3 business days. Ready to start immediately upon project award.

@faisal702

I can scrape both DNB URLs accurately, handle pagination and dynamic content, and deliver a clean Excel or CSV file with all requested fields, properly labeled, deduplicated, and ready to use. I have experience with structured business-data extraction using Python tools like BeautifulSoup, Selenium, and Scrapy, and I can complete this with strong attention to accuracy and validation.

@danielh850

Hello, I am a seasoned web scraping specialist with expertise in extracting structured data from various websites. I am interested in your project requiring data extraction from the specified URLs, focusing on Company Name, Description, Key Principal, Industry, Address, Contact Information, and more. I have extensive experience using tools like Python (BeautifulSoup, Scrapy, Selenium) and ensuring clean, validated data output in Excel or CSV format. My attention to detail and commitment to data accuracy make me a suitable candidate for this task. Looking forward to the opportunity to collaborate. Thank you. Regards, Daniel

@dorofiip

Hi there How do you want to handle pagination to ensure all pages are scraped successfully? Are there any specific filters or criteria to identify and remove duplicate entries effectively? Scraping these pages is challenging because the data is spread across multiple pages requiring careful navigation. Dynamic content and various data fields must be accurately extracted and validated, which need precise handling. I will organize the data in a clean CSV with all required fields properly labeled and deduplicated. I would be happy to discuss further on chat.

@VatsalGabani

Hi, I'm Vatsal, I’ve reviewed the D&B directories website and its pagination UI and am confident in my ability to extract this data efficiently. I specialize in Python-based scraping (Selenium/Scrapy) to bypass bot detection and handle the dynamic elements Deliverables - Structured Dataset: A clean Excel or CSV file with 14 dedicated columns (Company Name, Description, Key Principal, Industry, etc.). - Verified Contacts: Properly mapped Contact Names and Titles for each entry. - Data Integrity: A deduplicated and validated list with standardized phone numbers and zip codes. I can get a sample batch over to you today to ensure the formatting meets your needs. Would you like me to start with a specific state first?