Web Scraper / Business Email Researcher

@hdlan

Hi, I am a highly experienced professional from Vietnam, specializing in data entry, LinkedIn, Apollo, and web research. I'd be happy to help you gather contact details and organize them into your provided Excel file. I am more than willing to provide a sample for you to assess the quality of my work. To showcase my capabilities, please refer to my similar projects here: https://www.freelancer.com/projects/internet-marketing/Get-contact-information-companies https://www.freelancer.com/projects/research/Online-Company-Research-31064800 https://www.freelancer.com/projects/data-entry/Get-contact-information-companies https://www.freelancer.com/projects/data-entry/Contact-details-38712127 https://www.freelancer.com/projects/leads/Need-Contact-Leads-Email-list https://www.freelancer.com/projects/data-entry/Find-email-25178612 I am available online for the majority of the time and strive to respond to your messages promptly within a timeframe of 12-24 hours. How may I be of assistance in compiling the desired contact list for you? Best regards, Duong

@leelakalidas32

Hello Sir, I can research and verify business email addresses from publicly available sources, accurately update your Excel sheet while preserving the original order, and ensure only relevant, validated emails are included with unmatched entries left blank.

@utrathore3

As the founder of Work-Nix Solutions, I've built a team of professionals driven by a passion for transforming businesses with tailored and high-impact solutions. We’re excited about the prospect of leveraging our automation and data expertise to collect and validate business email addresses for you. To deliver the 1,000 researched email addresses per day you're expecting, we'll be utilizing cutting-edge technology like web scraping frameworks such as Playwright and Selenium, tightly integrated with AI-assisted tools like Google Gemini API. We understand the value of maintaining the original row order in your spreadsheet and ensuring accurate data. Therefore, we'll strictly adhere to your project guidelines without compromising quality. Explore my impressive profile here: https://www.freelancer.pk/u/utrathore3 . Note: "Delivering success is our commitment. To achieve this, we carefully assess your project's scope, and then provide customized costs and timelines that meet your unique needs." Thanks and Best Regards, Usman Tariq Rathore Work-Nix Solutions

@BithiXpert

Hi, I can do this project right now with 100% accuracy. If you need any sample please let me know. Thanks

@ZohaibRoy

⭐⭐⭐⭐⭐ Reliable Web Scraper for Accurate Business Email Research ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project and see you are looking for a Web Scraper/Business Email Researcher. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects, ensuring quality and accuracy. I will research and collect business email addresses efficiently using reliable online sources, maintaining the order of your Excel spreadsheet. ➡️ Why Me? I can easily handle your email research project as I have 5 years of experience in web scraping and data entry. My skills include internet research, data verification, and Excel management. Additionally, I have a strong grip on Python and web automation tools, which will enhance the accuracy of email collection. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to our conversation! ➡️ Skills & Experience: ✅ Web Scraping ✅ Data Entry ✅ Email Verification ✅ Internet Research ✅ Python Programming ✅ Excel Management ✅ Data Quality Assurance ✅ Google Search ✅ Playwright/Selenium ✅ API Integration ✅ Attention to Detail ✅ Efficient Workflow Waiting for your response! Best Regards, Zohaib

@sujonmax2

Hi! I have solid experience with web research, business email collection, and Excel data entry. I carefully verify each email using public sources and keep the spreadsheet in its original order. I also have experience with Python, Playwright, Selenium, and AI-assisted research tools to improve efficiency while maintaining accuracy. I focus on quality over speed and can consistently deliver reliable results. I’d be happy to support this project long term. Thanks sujon

@Tanmoy236

Hello! I'm a data automation specialist with over 9 years of experience in web scraping, business email research, and AI-assisted data collection, and I can efficiently deliver accurate, verified email addresses at scale. Here's how I can help: - Use Python with Playwright/Selenium and Google Gemini API to automate research and validation of business email addresses from public sources - Maintain your Excel spreadsheet's exact row order and format, entering verified emails or leaving blanks where no valid address is found - Leverage directory tools like Apollo or Clay where appropriate, while ensuring compliance with website terms of service - Deliver high-accuracy results with a target of ~1,000 researched emails per day I have strong experience with data quality assurance, email validation, and AI-assisted workflows. Could you share the Excel file, any specific industry or business type details, and your preferred delivery timeline?

@ShaikhAneesa

Hi there, I have thoroughly reviewed the project requirements for the Web Scraper / Business Email Researcher position and understand the need for accurate and relevant email address collection for the provided businesses. Let's chat and discuss it further. To handle your project, I will start with utilizing Python for web automation and data processing. Additionally, I will integrate Google Gemini API to assist in identifying and validating business email addresses, ensuring high accuracy and relevance. Experience with web scraping frameworks like Playwright will aid in automating data collection workflows while maintaining compliance with website terms of service. The deliverables will include an Excel file with the original row order preserved, verified business email addresses entered where available, and blank cells for businesses with no valid email address. Before signing-off my bid, I would like to ask a question, i.e., how would you prefer to handle cases where multiple email addresses are associated with a single business? Warm Regards, Aneesa.

@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

@paulmd369

Search Google and other publicly available online sources to find the most relevant email address for each business. Verify that the email address belongs to the listed business. Enter the email address into the corresponding row in the Excel file. Maintain the exact order of the spreadsheet. Do not sort, rearrange, or delete any rows. If no valid business email can be found, leave the email cell blank. Ensure all collected email addresses are accurate and relevant to the listed business.

@tmoi06

Hello Sir, I can accurately research and collect verified business email addresses for your spreadsheet while maintaining the original row order and ensuring every email is matched to the correct business. ✅ Why Me? ✔ Strong experience with business email research, lead generation, and web data enrichment ✔ Skilled in using Google, Apollo, Clay, Hunter, NeverBounce, and other trusted public sources for accurate email discovery and verification ✔ Experience with Python, AI-assisted research workflows, and automation tools including Playwright/Selenium for improving efficiency while maintaining data quality ✔ Excellent attention to detail with a focus on preserving spreadsheet structure, eliminating mismatches, and ensuring accuracy ✔ Proficient in Excel and large-scale data processing, capable of handling high-volume research projects efficiently ✔ 500+ projects completed | 5.0-star rating I understand that quality takes priority over quantity. I'll carefully verify every business email against the listed company, preserve the exact spreadsheet order, and leave cells blank whenever a valid business email cannot be confidently identified. Happy to complete a free sample of 10–20 businesses so you can review my research quality, email accuracy, and overall approach before proceeding with the full project. Best regards, Ayan

@hiberokpars

Hello! I will create a PHP script to scrape data you need Please provide the details I have extensive experience in writing PHP scripts for data scraping Please see my reviews for reference.

@CloudNineDigital

Hi, I can research approximately 1,000 businesses per day while protecting the accuracy and original order of your spreadsheet. Each email will be checked against the business name, address and official website; uncertain matches will be left blank rather than guessed. I use a combination of Google research, business directories, Apollo, Python-assisted workflows and email validation, followed by manual quality checks. I’m ready to complete a small sample first so you can assess the accuracy before awarding the full project.

@zafarfarooq612

Hello, I am a web researcher with experience in Python automation, Google Gemini API integration, and web scraping frameworks like Playwright and Selenium. I will research and verify business email addresses for your spreadsheet using publicly available sources (Google, directories, Apollo), preserving the exact row order and leaving blank cells where no valid email is found. I can deliver up to 1,000 verified emails per day. Please share your spreadsheet. I can start immediately. Thank you. Regards, Zafar

@muneeb6767

Hey, this fits well with the business-research automation I do regularly - happy to take this on. Approach: I'll build a Python pipeline that takes each business name/address row, runs targeted Google searches (site-restricted where a website is findable, business-name+location otherwise), scrapes the business's own website contact/about/footer pages as the primary source, and cross-checks against directory sources when the site itself doesn't list an email. I'll integrate an AI API (Gemini or similar) as a validation layer - confirming the discovered email plausibly belongs to that specific business rather than a generic aggregator or unrelated match, which keeps accuracy high instead of just grabbing the first email found. Row integrity: original spreadsheet order is preserved exactly - I process in-place by row index, no sorting/filtering/deleting, and any business with no verifiable email is left blank rather than filled with a guess. Throughput: 1,000/day is realistic once tuned to your data's typical business types - I'll prioritize accuracy over hitting the number, and would rather under-deliver on volume one day than pad the sheet with low-confidence matches. Process: happy to start with a small batch (50-100 rows) so you can review match quality and email format expectations before I scale to full volume. Question: preferred format for ambiguous cases (e.g. only a generic info@/contact@ email found, no named-person email)?

@TeraByte26

Hello I can deliver an Excel file with 200-300 researched email addresses for $250-$375, or 600-800 for $600-$750, using Python, Google search, and web scraping to find business emails, ensuring accuracy and maintaining the original order, with potential for ongoing projects based on quality. Waiting for your response in chat! Best Regards.

@TheSecondSource

Good day! Business data research and lead generation have been one of our core strengths for over nine years. We combine accurate manual verification with AI-assisted workflows using **Python, Playwright/Selenium, Google Gemini, Apollo, and Clay** to efficiently locate and validate business email addresses while preserving data quality. We'll maintain the exact spreadsheet order, verify that every email belongs to the correct business, and leave cells blank whenever a reliable address cannot be confirmed. Our workflow prioritizes accuracy over volume, with careful quality checks to eliminate incorrect or irrelevant contacts while meeting your daily production targets whenever possible. We communicate clearly, deliver clean Excel files, and follow structured research processes that are scalable for long-term projects. We'd be pleased to demonstrate the quality of our work and become a dependable research partner for your ongoing email collection needs.

@Muhammadzeesha59

With over 6 years of solid experience in full stack Development, I have honed my skills in Automation, Data Processing, Python and Web Scraping, which aligns perfectly with your requirements for the Web Scraper/Business Email Researcher role. I possess a comprehensive understanding of different web scraping frameworks like Playwright and Selenium, as well as strong internet research abilities. Moreover, when it comes to extracting data from publicly available online sources, I excel at preserving the original order and maintaining 100% accuracy. This stems from my impeccable attention to detail. Throughout my professional journey, I have had ample opportunities to demonstrate my capacity for working efficiently without sacrificing quality—an attribute that will be invaluable for achieving the 1,000 researched email addresses per day target that you require. Above all, my commitment to excellence and dedication stand unrivaled, regardless of the project size or complexity. You can rely on me to find and validate high-quality business email addresses associated with the listed businesses while complying with website terms of service. My familiarity with integrating Google Gemini API and other AI-assisted web research tools give me an additional edge in delivering results that exceed expectations. Partnering with me for your web scraping project assures you of not just a job done but the job done exceptionally well – keeping your data reliable and useful. Let's do this!

@vishal1145

Your 1,000 emails per day target will fail without automation - manual research caps at 200-300 per day before accuracy drops. I'll build a Python pipeline using Playwright for scraping + Gemini API for validation that processes your Excel file while preserving row order and flagging low-confidence matches for manual review. Quick questions - are you open to using Apollo/Clay APIs if they provide higher match rates than Google scraping? And do you need SMTP validation or just domain verification for the collected emails? Here is the architectural approach: - PYTHON + PLAYWRIGHT: Headless browser automation that mimics human search patterns to avoid rate limits and extracts contact pages from Google results without triggering CAPTCHAs. - GEMINI API INTEGRATION: AI-powered email validation that cross-references business name, address, and domain to filter out generic info@ addresses and prioritize decision-maker contacts. - DATA PROCESSING: Pandas-based Excel handler that locks row order, logs confidence scores per email, and outputs a separate audit file showing which businesses had zero results versus low-quality matches. I've built similar lead enrichment systems for 2 B2B clients that scaled from 500 to 5K records daily while maintaining 92% accuracy. Let's schedule a quick call to review your sample spreadsheet and define the validation rules before I start the build.