Script developper needed for scrap email from Website list in spreadsheet.

@ykarora26

With 5+ years in web scraping and data extraction, I understand the importance of accurate email retrieval from websites. I have successfully completed similar projects for various clients, ensuring high-quality results. Could you provide specific websites from the list to prioritize the extraction process effectively? Regards, Yogesh Kumar

@livegoodlife

Hello there, I am experienced in web scraping and building scripts or a Windows desktop application using Python. I am also experienced in large data scraping from a given website, bypassing IP, Captcha, and anti-bot or cloud flair protection. Please message me to discuss this project in detail. Best Regards Enamul

@raphaelokekeze

I see you have a list of 20k companies and need a custom script to extract valid contact emails efficiently. Scraping at this scale requires a robust approach to handle connection timeouts, rate limiting, and data validation to ensure the emails you get are actually deliverable. My background in PHP and data processing allows me to build a reliable scraper that can iterate through your spreadsheet, crawl the target sites, and parse the data accurately. I have handled similar automation tasks and know how to structure the output so it integrates perfectly back into your existing workflow. I can complete this script and have it ready for you within 1 day for $17.96. Let me know if you want to start with a sample of your list so I can demonstrate the accuracy of the email extraction.

@giaphung2k1

Hello Hi there I understand you're looking for someone to write scripts for your SCRAP project. With my 5+ years of full-stack development experience, I've built and optimized complex systems and can ensure your SCRAP scripts are efficient and effective. I'm confident I can deliver high-quality, robust scripts that meet your project's needs. Let's connect to discuss your specific requirements. Giáp Văn Hưng

@technologiesit

Being in the tech industry for over a decade, I fully understand and appreciate the importance of a tailored-made solution for your unique project. The task of extracting valid emails from your extensive list requires both technical expertise and efficient coding, skills that I have honed throughout my career. As a skilled Full Stack Developer, I am particularly proficient in PHP – the perfect tool to achieve your desired results in an efficient and reliable manner. Beyond simply scraping data from a website list, I'm able to offer a holistic approach that fully appreciates and respects your business needs. My services extend to include API development and integration; consequently, I can not only extract valid emails but also integrate the data directly into your existing systems/platforms efficaciously, minimizing manual work and eliminating inconsistencies in your databases. I ensure fast delivery without compromising on the quality of my work. With my friendly yet professional demeanor, you can expect effective communication throughout the project. Your satisfaction is my priority, hence I guarantee long-term support even after completion. So let's team up and leverage my skills to help you scale your business using a tried-and-tested methodology .

@Dliteinformation

As a seasoned developer with a demonstrated history of transforming technical headaches into seamless, high-performing solutions, I am more than equipped to tackle the challenge ahead. My company, Dlite Info Tech Pvt Ltd, specializes in PHP development and Software Architecture -- precisely the skill set you need for this project. In fact, my team and I have already executed similar scrapping tasks with great success. For your 20k list of company names and websites, retrieving valid company emails will be a brisk task. Our approach is two-fold: first, we'll create a robust script that efficiently scrapes relevant data from spreadsheets while adhering to your specific requirements. Next, we'll employ our expertise in Software Architecture to handle large scale data and optimize the process for faster turnaround time. In short, partnering with our team means your project would not only be handled professionally but also with a keen eye for exceeding expectations. We value clear communication, timely delivery, and 100% client satisfaction - which you deserve! Let's waste no time! Hire me now so we can turn those 20K website entries into actionable data persisting in the progress of your exciting project!

@WriterChavi

Hello, Greetings , I’ve carefully checked your requirements and really interested in this job. I’m full time WordPress developer having 5+ years of experience. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I have rich experienced in Software Architecture, Data Processing, PHP, Data Entry, Excel, Data Extraction, Scripting and Web Scraping. Please message for further communication. Thanks

@Noorulamin331

Hi Ibrahim, I can write a script to scrape valid company email addresses from your 20k website list. I have experience with email extraction using Python, Scrapy, and custom crawlers that find contact pages, parse mailto links, and verify email formats. My approach: I will build a script that takes your spreadsheet of company names and websites, visits each site, finds the most likely contact email (info@, contact@, or specific role-based emails), validates format, removes duplicates, and writes results back to your spreadsheet. I will handle different website structures, avoid being blocked, and prioritize deliverable emails over generic ones. Deliverable: Python script with instructions you can run yourself, or I can run it and send you the completed spreadsheet. Clean code commented for future updates. Share your spreadsheet and I will start. Looking forward to working with you. Best regards,

@welldonewisher

I can help you extract valid company email addresses from your list in a structured and reliable way. For a list of 20k websites, I’d approach this in stages: • Automated extraction – scan each site for visible emails (contact pages, footer, about pages) • Pattern-based discovery – identify likely email formats where direct emails are not listed • Validation – verify extracted emails to ensure they are active and usable • Clean output – deliver a structured spreadsheet with company name, website, and validated email I focus on accuracy and data quality rather than just bulk scraping, so the final list is actually usable. Before starting, I’d confirm: • Expected accuracy level • Whether generic emails (info@, support@) are acceptable • Preferred output format Given the volume, I can process this efficiently and provide results in batches if needed. Happy to review your dataset and suggest the best approach.