Corporate Email & LinkedIn Scraper -- 2

@imraz2016

HI there already i have checked project details job is clear so please contact me then i will show you sample, thank you

@justmian876

At BN-Droids Digital Services, we excel at extracting and collating large quantities of data with unerring accuracy. With our team's extensive experience and my five years in the field, we've developed a tried-and-tested approach to web data scraping that ensures no stone goes unturned. We've worked on data sets larger than what your project entails, and still achieved the high level of accuracy you're seeking. Beyond data scraping, we also understand the value of verified data - after all, what good is a pile of contacts when you can't get in touch? My team is well versed in email verification processes and will painstakingly ensure that every single piece of data collected from the iGEM website is checked and pristinely delivered to you in an XLSX file - complete with separate columns for the email address, first name, last name, and LinkedIn profile link. In addition to these technical skills, we bring an empathetic touch to our work. We don't simply see this as ticking off boxes on a project list; we appreciate its potential impact for companies like yours. That's why we always go the extra mile to exceed expectations. Given this thorough blend of skills, expertise and our shared philosophy towards quality output, I believe BN-Droids Digital Services is perfectly positioned to fulfill your project requirements on time and accurately. Let's get started!

@tmoi06

Hello Sir, I’d be glad to run a careful, accuracy-first sweep of the iGEM 2026 site to extract publicly available PI contact emails and LinkedIn profile links — then deliver them as a verified, pay-ready XLSX you can import straight into your outreach system. ✅ Why Me? ✔ Precision-focused manual research (no blind scraping) — ideal for academic contact harvesting ✔ Familiar with academic directories, university staff pages, and LinkedIn researcher workflows ✔ Multi-step verification to minimise bounces (domain checks + mailbox validation) ✔ Clean, audit-ready delivery format and clear documentation of sources ✔ Willing to run a small free sample so you can confirm quality before full delivery ✅ Deliverables ✔ One clean .xlsx file with columns: Email, First Name, Last Name, LinkedIn Profile URL, Source URL, Verification Status. ✔ Verification notes and a short method summary. ✔ Free 10-record sample (so you can confirm quality before full run). If this sounds good, I’ll deliver the 10-record sample so you can confirm format and accuracy. Once you approve the sample, I’ll proceed with the full sweep. Best regards, Ayan

@mattafareed4848

Hello I can perform a precise one-time sweep of the iGEM 2026 website, carefully extracting all publicly available email addresses and LinkedIn profile links from project team PIs, verifying each email for accuracy, and delivering a clean XLSX file with separate columns for email, first name, last name, and LinkedIn URL, ensuring no duplicates and maximum accuracy as required. Regards Muhammad

@zafarfarooq612

Hello, I’m an experienced web researcher and data verification specialist, and I can conduct a precise, one-time sweep of the iGEM competition 2026 website to extract all publicly available PI names from project team rosters, then independently research and verify their direct email addresses and LinkedIn profile links using their academic institutions as validation points. I understand that accuracy is critical—each email will be carefully cross-checked and verified to minimize bounce risk, and only confirmed, institution-matched contacts will be included. I will deliver a clean, well-structured XLSX file with separate columns for Email, First Name, Last Name, and LinkedIn Profile URL, formatted consistently and ready for immediate use. I work methodically, avoid duplicates (including those already scraped), and prioritize verified, high-confidence results over volume. Regards, Zafar

@addison2002

I am offering my services to gather leads for your company. My expertise lies in researching potential customers and identifying the right ones to target. I have a proven track record of success in lead generation and am very comfortable working with different types of data. My lead generation approach is centered around using various sources such as LinkedIn, Twitter, Facebook, Google Adwords and other digital marketing platforms. I am confident that I can meet your lead generation requirements and am happy to provide you with sample work to review. I am available for an initial consultation to discuss further details and provide you with an estimated cost for my services. Thank you for your time and consideration. I look forward to hearing from you.

@giaphung2k1

Hello I can provide a precise, one-time sweep of your single corporate website. I'll efficiently extract all available corporate email addresses and corresponding LinkedIn profiles, delivering the data in a clean, organized format. My focus is on accurate and timely delivery for your specific data acquisition needs. Giáp Văn Hưng

@Lincolnwhiz

Building fast, scalable, and reliable web platforms to meet real business needs has always been my strong suit. As a professional with expertise in data entry, processing, and web scraping, I assure you the cleanest possible result in your required format: a comprehensive XLSX file. Accuracy is of paramount importance and I reckon every single detail related to the project must be double-checked. Implementing modern technologies such as React and Node.js allows me to guarantee that the deliverables will not only be efficient but also tailored specifically to your unique needs. I prioritize client satisfaction by ensuring clear communication, reliable delivery, and scalable solutions that accommodate business growth - all qualities which this project demands. To successfully sweep the iGEM competition 2026 website for email addresses and LinkedIn profiles of PI's within academic institutions they work for requires methodical precision - a skill I've garnered throughout my years of experience. Rest assured that my approach in capturing names from the project descriptioned sub-pages and cross-referencing them with their respective institutions will result in top-notch outcomes. Opportunity has met preparedness in my case as I am well-equipped to meticulously complete this task. Let's make an excellent combo for your project!

@ladenistheone

Hello there, I’m available to start immediately and complete this one time iGEM 2026 sweep with high accuracy. I will crawl all project teams, extract PI names from Roster, research each academic institution, and collect verified public emails and LinkedIn links. Every email will be validated before delivery. Final output will be a clean XLSX with structured columns. Let’s connect so I can confirm scope and begin right away. Regards, Md Laden Islam

@mahrsaad211

Hi, I understand that this project is not just about scraping data, it’s about delivering 100% accurate, verified email addresses from the iGEM 2026 website, with clean formatting and zero guesswork. Since payment depends on accuracy, the margin for error must be extremely low. Here’s how I will handle your project: ✔ Manually navigate the International Genetically Engineered Machine (iGEM) competition 2026 website ✔ Extract all project teams → access each roster → identify each PI ✔ Research each PI using their full name + academic institution ✔ Collect only publicly available and verifiable email addresses ✔ Verify every email before submission (no invalid or risky guesses) ✔ Deliver a clean, well-structured XLSX with separate columns for: Email Address First Name Last Name LinkedIn Profile Link Accuracy is my priority, I would rather double-check everything than submit incorrect data. Each entry will be carefully validated to ensure it meets your payment criteria.

@Rashid8859

I can perform a thorough manual sweep of the iGEM 2026 website to extract all publicly available, verified PI email addresses and LinkedIn profiles with high accuracy. The final delivery will be a clean XLSX file containing email, first name, last name, and LinkedIn URL, with no guessing or unverified data.

@daniam98

I am a Document Specialist with over 3 years of experience and am well experienced in web scraping, ready to perform a one-time sweep of the iGEM 2026 website to extract verified PI contact details and LinkedIn profiles with 100% accuracy.

@craigd43

With my expertise in various languages such as PHP, Node.js, Vue.js, and C#, I believe I can provide you with a professional solution for your web scraping requirement. Over the years, I have worked on several data-centric projects that involved collecting a large amount of information in a short time frame while ensuring accuracy. My proficiency in technologies like Data Collection, Entry, Mining, Processing and Scraping makes me well-suited for this task. In relation to your project on scraping the iGEM competition 2026 website for email addresses and LinkedIn profiles, I have the exact skills you need to execute this effectively. I have done similar projects before which required extensive data extraction and organization from complex websites and excel files. Resultantly, I am confident in my ability to produce a clean XLSX with separate columns for the email address, first name, last name, and LinkedIn profile link as per your requirements. Lastly, one of my largest strengths is my dedication to client satisfaction - not only meeting but also exceeding expectations. With that in mind, I assure you that every email address provided will be verified thoroughly to ensure their accuracy. You'll receive high-quality code within the agreed-upon timeframe. Let me handle the intricacies of this project so you can focus on more critical tasks at hand!

@naveenk2376

Hi there, Once look at the sample work. I bring with me an experienced team of 12 professionals who specialize in AI data annotation, data collection, and lead generation – the exact skills needed to tackle your project. Our prime focus on delivering high-quality, reliable, and secure solutions aligns perfectly with your need for accuracy in capturing publicly available email addresses and LinkedIn profile links from the iGEM competition 2026 website. Our extensive expertise in Web Scraping using customized scripts will be instrumental in navigating through the project teams' pages and searching for the Principle Investigators' (PI) names as per your requirements. My team has proven proficiency in Data Entry, Processing, Scrapping & Search - essential skills needed for this project. Additionally, we can also verify each email address captured to ensure its accuracy and increase the quality of your dataset.

@Hemantt841

With over 15 years of experience in software development and digital solutions, I have successfully completed more than 200 projects for startups, mid-size companies, and enterprise-level clients across various industries. My background has equipped me with a robust skill set in data processing, web scraping, and data collection, making me ideally suited for this task. I specialize in API integration and web scraping, which will allow me to navigate the iGEM competition 2026 website efficiently. My approach involves meticulously searching project team rosters to capture PI names, then utilizing those names to verify and gather the required email addresses and LinkedIn profile links. I will ensure that all emails are validated, delivering a clean XLSX file with all requested details accurately presented in separate columns. Let’s discuss how I can help you complete this project effectively.

@mohitprasad555

Proposal for Contact Data Extraction from iGEM 2026 Website Hello, I’d be happy to assist with a one-time sweep of the iGEM 2026 competition site to extract all publicly available email addresses and LinkedIn profile links tied to project leads/PI names. I understand that accuracy and verification are your top priorities — and that only valid, verified emails will be accepted for payment. ✅ What I Will Deliver You will receive a clean Microsoft Excel (XLSX) with the following columns: | Email Address | First Name | Last Name | LinkedIn Profile URL | Each email will be individually verified to reduce false positives. Invalid or unverified emails will not be included. ? My Process Site navigation & extraction Locate every team project entry on the iGEM 2026 website Open each project roster to identify the PI / lead name Targeted research Use academic institution affiliations to find: Official public email addresses LinkedIn profiles (when publicly available) Verification Run email verification checks (syntax, domain, server validation where possible) Filter out any bounced/invalid addresses Clean formatting Separate names into first and last Standardize LinkedIn links Provide well-organized data ready for use

@willofR

Hello, I can support you with a precise and structured one-time sweep of the iGEM 2026 website, focusing on extracting publicly available PI information from project team rosters. With a strong data accuracy mindset and experience working with structured datasets, I prioritize: 100% structured data formatting (clean XLSX output) Careful cross-verification of each email address Proper separation of first name, last name, email, and LinkedIn URL Manual validation to minimize error rate Clear documentation of sources for traceability Accuracy is my top priority. I understand that incorrect emails will not be accepted, so I will implement a multi-step verification approach before submission. The final delivery will include: Clean Excel (.xlsx) file Clearly separated columns Quality-checked and formatted data Duplicate removal and consistency validation I am detail-oriented, methodical, and committed to delivering clean, reliable data. Looking forward to supporting your project. Best regards, Willy R

@khizir5

Hi, I am an expert in Data Entry and Web Scraping. I have carefully read your requirements for the iGEM competition 2026 website task. I can accurately find the PI names, verify their corporate emails, and provide their LinkedIn profiles in a clean XLSX file. I am detail-oriented and understand that 100% accuracy is required. Ready to start immediately

@vaibhavd674

Hello, I’m an experienced web researcher and data specialist skilled in precise data mining and verification. I can thoroughly review the iGEM 2026 website, extract PI names from team rosters, and accurately source verified email addresses and LinkedIn profile links using their academic affiliations. I prioritize accuracy and will cross-check each email to ensure validity before submission. You’ll receive a clean, well-structured XLSX file with separate columns for email, first name, last name, and LinkedIn URL—error-free and deduplicated. Ready to start immediately and deliver reliable, high-quality results.