Trade Fair Data Web Scraping

@imraz2016

Hi there already i have checked project details i am able to scrap all information for you so please contact me, thank you

@mananraja

Hi I have expertise in Web Scraping and can develop you a Python-based script to scrape exhibitors data from your targeted website, into organized Excel sheet, based on user-provided filters/configurations. I'm available to discuss details in chat and can start right away. Abdul H.

@ZohaibRoy

⭐⭐⭐⭐⭐ Reliable Scraper for Medica/COMPAMED Exhibitor Data Extraction ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a reliable scraper to pull complete exhibitor information from the Medica/COMPAMED directory. Look no further; Zohaib is here to assist you! My team has successfully completed 50+ similar scraping projects. I will create a solution that extracts all required data efficiently and delivers it in a clean Excel file. ➡️ Why Me? I have 5 years of experience in web scraping, focusing on data extraction and automation. My expertise includes Python, BeautifulSoup, Scrapy, and Selenium. I also have a strong grip on data handling and Excel formatting, ensuring your final output is accurate and well-structured. ➡️ Let's have a quick chat to discuss your project in detail. I can show you samples of my previous work and how I can meet your needs effectively. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Web Scraping ✅ Data Extraction ✅ Python Programming ✅ BeautifulSoup ✅ Scrapy ✅ Selenium ✅ Excel Formatting ✅ Data Cleaning ✅ Pagination Handling ✅ API Integration ✅ Error Handling ✅ Automation Scripting Waiting for your response! Best Regards, Zohaib

@Tanmoy236

Hi! I specialize in Python web scraping and data extraction with over 9 years of experience building reliable scrapers that deliver clean, structured Excel datasets from complex directories. Here's how I can help: * Scrape complete exhibitor profiles from the Medica/COMPAMED directory * Extract company name, geography, description, business line, contacts, website, employees, and foundation year * Handle pagination and profile-page data (email/phone) using Python with Playwright/Scrapy * Deliver a clean, deduplicated .xlsx file with filter-ready structure * Provide a reusable script for future filtered runs Do you want the script delivered for reuse or prefer me to run the scraping whenever needed?

@asifdwan

Hello, I can build a reliable scraper to extract all exhibitor data from the Medica/COMPAMED directory into a clean .xlsx file with all required fields. I’ll handle pagination and visit each profile to capture hidden details like email and phone. The script will allow easy filters (geography, business type, employees). I can deliver a reusable Python script or run it for you whenever needed.

@sujonmax2

Hello, I can extract Medica / COMPAMED exhibitor list from their website using web scraping. I can provide you with a clean and well-structured Excel sheet with all necessary fields like company name, geography, description, line of business, address, email, phone, website, employees, and year of establishment. I can do this with Python and tools like Playwright or BeautifulSoup. I can provide you with a script that can also include filters like geography or industry. I can provide you with the first dataset within 24-48 hours. Regards sujon

@farhanyoussef18

Youssef, Full-Time Freelancer with Python Programming expertise in web scraping, automation, and data extraction. I've carefully reviewed your need for complete exhibitor information from the Medica / COMPAMED trade-fair directory, delivered in a clean Excel file. I understand the importance of handling dynamic content, like hidden email/phone fields, and enabling easy filtering by geography or line of business for your ad-hoc requests. Leveraging tools like Playwright or Selenium, I can develop a robust and reusable solution to precisely extract all required company details, bypass pagination, and ensure the final .xlsx output is well-structured with no missing fields. My approach will account for your need to easily set filters for future pulls. I have successfully completed over 155 projects, many involving similar complex automation and data extraction from dynamic websites.

@ShaikhAneesa

Hello, I have reviewed the project details for the Trade Fair Data Web Scraping project and I am confident in my ability to successfully complete this task. I am experienced in web scraping and data extraction, and I am proficient in utilizing Python with BeautifulSoup/Scrapy for such projects. My approach will involve creating a custom scraper that can bypass pagination and extract the hidden email/phone fields from the profile pages. I will ensure that the final output is delivered in a well-structured .xlsx file with all required fields accurately populated. I can quickly turn around the first data pull from the provided link and am open to discussing the possibility of providing a reusable script for your convenience. Let's discuss further in chat to finalize the details and get started on this project. Best Regards, Aneesa

@justmian876

As an experienced Full-Stack Web Developer, I'm no stranger to the art of web scraping. My team at BN-Droids Digital Services includes dedicated professionals who have been experts in web data extraction and mining for over five years now – over a million data entries from various platforms including trade fair directories like Medica / COMPAMED are scraped daily by us to maintain our vast database. Hence, we are well-equipped to handle your project's scope and complexity.

@raminde

Have over 18 years of experience in data mining/ Web scrapping/ Scraping Bots/ Chrome/Opera Extensions I have done it all. Tell us your source and we will put it in excel for you, Or we can even give you filtered results as per your requirement, In the format you want. You can also ask for data into a particular format - Excel, Json, Mysql, Databases, XMLs, you name them. Further Can help you with integrating it with ur databases, Can create json outputs. We are not only good with scraping but also with the tools that u may need after that. We can help you build you softwares round the data we have 99% Data Accuracy. We have Duplicate finder. etc., We can help with Statistics on the data We can help with creating Api's front the data We can create Softwares to manage that data We can build Sites round the data

@mjanchi

As an experienced professional specializing in Data Extraction, Data Mining and Web Scraping with over 3 years of experience on Freelancer.com, I firmly believe that I am the ideal candidate for your Trade Fair Data Web Scraping project. I have a deep understanding of web scraping tools like Scrapy and a proven track record of successful data extraction from various websites. I have also worked on projects involving Excel extensively, so you can trust me to deliver a clean spreadsheet with no missing fields or formatting issues. Regarding your specific requirements, extracting hidden email/phone fields won't be a problem for me because I'm experienced in dealing with such challenges. Using appropriate tools, I'll ensure no valuable information is left behind -- every exhibitor's record will be included precisely as needed. I understand the need to retrieve data on an ad-hoc basis with different filtering options. My approach would be to build a versatile script that allows you to set filters easily before each run, giving you complete control over your data gathering. With my efficiency and dedication, the first pull from the provided link will be delivered promptly. Being focused on long-term collaboration, you can count on me for not just one-off executions but also providing reusable scripts if that better accommodates your needs.

@stevegtdbz

Hello! I have experience in web scraping using python. Can provide a reliable solution, handling pagination in an efficient way. Can run for you for a small fee or can provide you the script with instructions on how to run it. Please open a chat to discuss further, thanks!

@DeepSyaal

Hi, my name is Deepak Kumar from India. I read your "Trade Fair Data Web Scraping" project descriptions carefully before bidding. I got what you need and ready to go ahead as soon as we can clarify further project details. I am 5-star web scraping expert here at freelancer.com. Please check my profile and feedback first to have some idea about the quality of my previous businesses. I had many similar tasks, all achieved with 5/5 rating. Kindly get back to me if you wish to proceed with a top-rated and reliable partner here... please note that I only deliver best quality at a reasonable price, and I am open for long term partnerships, if you wish too... I bid my best for you to start business, and I am ready to prepare a sample task for you to check & validate, once you give me a reply... Kind Regards, Deepak Kumar

@brashel

Hello, I can scrape the MEDICA / COMPAMED exhibitor directory and extract all required fields (name, geography, description, line of business, address, email, phone, website, employees, year founded) into a clean .xlsx file. I can also create a reusable script with filters (geography, business line, employee count) for future runs. First dataset can be delivered quickly. Best regards, Siddiqur Rahman

@anshumanvermaUK

Hi I can scrape the full exhibitor dataset from the Medica / COMPAMED directory and deliver a clean, de-duplicated Excel (.xlsx) file with all required fields. I’ll use Python with Playwright (for dynamic content + hidden email/phone fields) to handle pagination, profile-page crawling, and filter parameters (geography, business line, employee size) before each run. Thanks Anshuman

@HiraMahmood4072

Hello, With over 7 years of experience in Excel, Web Scraping, Data Extraction, Python, Data Mining, and Scrapy, I have carefully reviewed your project requirements for scraping exhibitor information from the Medica / COMPAMED trade-fair directory. To achieve this, I propose using Python with Scrapy to scrape the required data fields, including Name, Geography, Description, Line of Business, Full Address, Email, Phone Number, Website, Number of Employees, and Year of Foundation. I will ensure that the script allows for easy setting of filters before each run to cater to specific requirements. My approach will involve bypassing pagination and extracting hidden email/phone fields from the profile pages. I can provide a well-structured .xlsx file without missing fields, duplicates, or formatting issues. I am ready to discuss further details and answer any queries you may have in a chat. You can visit my Profile: https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@gauravgargcs

Hello, I clearly understand that you need a reliable scraper to extract complete exhibitor details (name, geography, description, line of business, full address, email, phone, website, employees, and foundation year) from the MEDICA / COMPAMED Trade Fair directory and deliver them in a clean, well-structured .xlsx file without duplicates or missing fields. I’ll build a Python scraper using Playwright/Scrapy to handle pagination, access each profile page to capture hidden email/phone fields, and export the data into a structured Excel file with optional filters (geography, business line, employee count) configurable before each run. I have 7+ years of experience in advanced web scraping, automation, and large-scale data extraction projects. Let’s connect in chat so I can start the first pull from your provided link and deliver the initial dataset quickly. thank you Regards Gaurav Garg

@DeveloperStation

Hi, I’ve developed multiple web scrapers that extract data from complex sites like LinkedIn and Amazon, so I understand the nuances of scraping and data accuracy. I also have extensive experience with Excel file generation and can ensure that your data is delivered in a clean, structured format. For your project, I’d use Python with libraries like BeautifulSoup and Selenium, as they provide the flexibility to adapt to different sites and handle dynamic content effectively. I can also create a reusable script that you can run independently, saving you time and cost. Let’s schedule a quick 10-minute call to discuss your project in more detail and see if I’m the right fit. I usually respond within 10 minutes. I’m eager to learn more about your exciting project. Best regards, Adil

@zafarfarooq612

Hello, I’m an experienced data scraper and can extract the full exhibitor dataset from the Medica / COMPAMED directory into a clean, well-structured Excel (.xlsx) file. I’ll use Python with Playwright or Selenium to handle pagination and dynamic content, open each profile page, and capture all required fields—including hidden email and phone numbers—while ensuring no duplicates or missing data. The workflow will also allow easy filtering by geography, business line, or employee count for future runs, and I can deliver the first extraction quickly along with either a reusable script or ongoing scraping support. Regards, Zafar