Web Scraping Expert!

@vano101

Hello I have several years of experience with Python and automated Web Scraping Could you share what are sites to scrap data from? Thanks

@justmian876

Having amassed 5+ years of success in crafting robust and efficient web solutions, my team at BN-Droids Digital Services will ensure your web scraping project is handled with precision. We specialize in Python-based web scraping using tools like BeautifulSoup, Scrapy, and Selenium - all of which you've mentioned as a preference. With your desired output in mind, we can deliver clean and well-commented code that allows easy re-running, producing a single CSV or JSON file. As I mentioned earlier, we harvest over one million data entries daily and maintain a vast database with more than 20 million retail data points from around the globe - this speaks to our proficiency and experience in data extraction. Ensuring high-accuracy and completeness takes precedence for us over sheer speed, and we would be happy to provide you with an estimated time frame upon receiving the list of domains.

@bktk

Hello there! I will do web scrapping right now with 100% accuracy. I am offering a free sample before awarding the project. Can you please open a chat box to discuss the project in detail? I am 24/7 available for discussing the project. Sir, please check my profile link for your satisfaction and of my client reviews: https://www.freelancer.com/u/bktk Regards: Muhammad Bilal KTK

@Microlent

I noticed you need to harvest email addresses and phone numbers from a specific list of company domains while keeping the code easy to rerun yourself. Scraping individual company sites is often trickier than a single directory because every site uses a different layout or hides contact info in a footer. I can build this for you using Python and Scrapy. I prefer Scrapy here because it handles concurrent requests well while still being very easy to comment and maintain. My plan for this script: - Create a crawler that specifically looks for Contact or About pages if data isn't on the homepage. - Use regex patterns to find clean email addresses and phone numbers across different formats. - Save everything into a single CSV with clear columns for the company name, address, and contact details. - Add error handling so the script doesn't crash if one website in your list is down. Since you mentioned that accuracy matters more than speed, I will include logic to verify the data before it gets saved. This means the script won't just pull any random string that looks like an email but will validate it against the page context. Portfolio: https://www.freelancer.com/portfolio-items/11349812-web-scraping-automation Quick questions: 1. About how many domains are in your initial list? 2. Do you want the script to flag if it finds multiple physical addresses for a single company? Send over a message and we can go over a few of the domains to see their structure. ~ Rajesh

@HasanainAR

I read your project requirements and would be thrilled to collaborate with you. With expertise in Web Scraping and Data Extraction using Python, I specialize in navigating complex data structures and deliver efficient results and scalable solutions. Let’s connect to discuss further

@eslamafify

Hello Hope everything is well with you.I read your job description and I'm able to do it. I did such projects before.

@ukokab

As a seasoned information technologist with over ten years of experience, I've developed a broad understanding of not only web scraping but also the entire spectrum of business automation. When it comes to harvesting contact details from company websites, like the task at hand, my expertise in utilizing Python with BeautifulSoup and Scrapy stands unparalleled. Building a high-performance tool that is easy to rerun is not just part of my skill set but rather a standard you can expect from me. I understand the crucial need for accuracy and completeness in any data-scraping project, particularly when dealing with sensitive information like contact details. My deep QA/testing knowledge allows me to ensure that every piece of data the script captures is accurate and up-to-date. I'll meticulously structure the script for you, using either a single CSV or JSON format per your preference, with distinct columns for each field: email address, phone number, and physical address. More than anything else, what sets me apart is my dedication not just to providing an elegant solution but indeed automating a previously cumbersome process into an efficient one.

@sainijyoti1196

Hi, I can efficiently scrape and organize the required web data with high accuracy and clean formatting. I can handle large datasets, structured extraction, and timely delivery while following your exact requirements. Ready to start immediately.

@AzeemCodes7

I'm a certified AI, Python Automation & Data Analyst specialist with hands-on experience in web scraping, Selenium, Playwright, Flask, n8n workflow automation, and data analysis using Python, R, Pandas, and NumPy. I don't just deliver code — I deliver working solutions that save your time and reduce manual effort. I hold certifications in AI Development (IBM) and Python Automation & Data Science (Coursera & Packt), so you can trust that my work is professional and up to standard. I'm available to start immediately, communicate regularly, and will not close the contract until you are 100% satisfied. Let's discuss your project — feel free to send me a message!

@manoval09

I can't help with this project. The analysis correctly identifies serious legal and ethical issues: **Why I'm declining:** - **Unauthorized scraping** violates most websites' Terms of Service and the Computer Fraud and Abuse Act (CFAA) - **GDPR/CCPA violations** — collecting personal contact data without consent is illegal in most jurisdictions - **Mass targeting** — this falls explicitly into the category of work I'm instructed to refuse Even framed as a technical proposal, assisting would facilitate potentially illegal activity. **If you have a legitimate alternative:** - Need to scrape a site *you own* or have permission for? I can help with that. - Looking to build an authorized data pipeline using APIs? Happy to write that proposal. - Different project type entirely? I'm ready to help. What's the actual business problem you're trying to solve? There may be a legal path I can help with.

@RKhakhula

Hi There, I can provide a robust Python based solution for harvesting contact details from your target company websites. My approach involves using Scrapy or Selenium to ensure we can navigate diverse site structures effectively. I will build a script that captures email addresses, phone numbers, and physical addresses, delivering the final output in a clean, structured CSV format with distinct columns for each data type. The code will be thoroughly documented so you can easily rerun the process whenever needed. Accuracy is the priority; I will implement logic to handle different formatting styles for phone numbers and addresses to ensure the highest data quality. I have extensive experience in Python, SQL, and ETL processes, which allows me to create reliable automation tools that integrate seamlessly into business workflows. Once you provide the list of domains, I can give you a precise timeline for delivery. Let's contact to discuss details. Solution Vector Roman Khakhula

@JoseRCarvas

Hi, Seen the spec — straightforward enough. Give me the domain list and I'll have a Python + BeautifulSoup script back to you that pulls emails, phone numbers, and addresses into a clean CSV. One row per company, separate columns for each field. It'll handle contact pages, mailto/tel links, and footer text automatically. Failed domains get logged and retried without stopping the run. Well-commented so you can run it yourself anytime. Any questions before I start, just ask.