Email Scrape Local Data Needed

@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

@afua23

Hello there, I’ve carefully checked your requirements and I am interested in this job with title Email Scrape Local Data Needed. I’m an experienced web scraper with 14+ years experience. I have scraped many websites including Google, Google maps, Tripadvisor, and many e-commerce websites from different countries. I’m offering to scrape for you at the best quality and highest performance at a competitive price. I can complete your project on time. You will experience great satisfaction with me as other clients have. I’m well-versed in languages for scraping like python, beautiful soup, scrapy, etc. Here a few links to web scraping projects i have completed here: https://www.freelancer.com/projects/php/PYTHON-SCRAPER-35879443/details https://www.freelancer.com/projects/data-entry/Scrape-Crypto-Job-Websites https://www.freelancer.com/projects/excel/Web-scraping-for-public-information You can feel free to check my profile as well. Can you share the directory with me? My bid is for the 2k data. I’m ready to discuss your project and start immediately. Let's chat please. Thanks Claudia

@ESOLUTIONSSS

Hello, I'll be glad to assist you with this project. I can work with you during the next hours to have this done. I will complete this project with 100% accuracy. Click on the "CHAT" button so we will discuss it in detail. I'm always online and available. Please feel free to contact me at any time. I am available 24/7 for support. Best Regards Sandeep

@Hadiibaba

With over 8 years of experience in data mining, processing, and scraping, and an expert command over Python, Scrapy and BeautifulSoup, I am well-equipped to handle your email scraping project. My past works involved extracting verified email addresses from online business directories with two primary objectives: achieving accuracy while adhering to the site's terms of service and rate limits

@TanvirKhanPaple

Hi there! Project is very clear to me and I can collect verified email addresses from UK business directories for Berkshire and London. Just message me i am ready to start now and i will send a sample before start. Thank you.

@brashel

Hello Sir, I can quickly extract verified non-role business emails from UK directories for Berkshire & London, deliver a clean deduplicated CSV/XLSX, and share the scraping method/script. Ready to start immediately. Best regards, Siddiqur Rahman.

@zafarfarooq612

Hello, I’m an experienced web researcher and data extraction specialist who can quickly deliver a clean, verified list of business email addresses from reputable online directories for companies in Berkshire and London. I will use reliable scraping methods such as Python with BeautifulSoup, Scrapy, or Selenium to collect emails directly from directory listings while respecting site policies and rate limits. The final deliverable will be a well‑organized CSV or XLSX file containing unique, de‑duplicated email addresses, carefully checked to avoid role‑based or spam‑trap emails whenever possible. I will also include a short outline of the process used so the scrape can be reproduced later, and I’m ready to start immediately to meet your urgent requirements. Regards, Zafar

@muneeb6767

I can quickly scrape verified business emails from UK directories using Python (Scrapy/BeautifulSoup), filter role-based/spam‑trap addresses, and deliver a clean, de‑duplicated CSV/XLSX ready for outreach.

@solutionsplayers

Hello, I can quickly build a reliable scraping pipeline to extract verified business email addresses from the directories you specify for Berkshire and London. The process will: Crawl only the approved directory listing pages Extract visible business contact emails Apply filters to remove role-based addresses where alternatives exist Validate and deduplicate all emails Export a clean CSV/XLSX file ready for import Along with the dataset, I’ll provide a short documentation outline of the script and scraping workflow, so you can reproduce or run the extraction again in the future. Once you share the industry list and target directories, I can start immediately. Looking forward to discussing the details in chat.

@muradeltaher

Hello, I can start immediately and deliver a clean, verified, de-duplicated list of business email addresses for Berkshire and London from reputable directory pages only. I understand the priority is not volume alone, but quality: emails extracted only from valid business directory listings duplicates removed role-based emails filtered where possible avoiding obvious spam-trap risk patterns delivered in CSV or XLSX format, ready for import I can handle this using the most suitable method for the target directories, whether that is Python scraping (BeautifulSoup/Scrapy) or browser automation (Selenium), while keeping requests controlled and respecting site limits. What you will receive: unique email list only cleaned and checked output fast turnaround a brief reproducible outline of the process/script used I have experience with structured data extraction, cleanup, validation, and preparing outreach-ready datasets. Since this is urgent, I can focus on a quick first batch as soon as the industries are shared. Best regards, Murad El-Taher

@MQamar123

With an ardent passion for programming, I've spent more than seven years honing my software development skills. Though my repertoire spans across several languages and frameworks, Python has been central to many of my successful projects - much like the email scrape task you've outlined. I'm well-versed in utilizing libraries such as Scrapy and BeautifulSoup to efficiently extract verified email addresses from online directories. In summary, choosing me to complete this project means benefiting from a deeply experienced professional who excels in utilizing Python for data extraction tasks specifically from business directories. My strong affinity towards programming combined with vast knowledge in a wide range of languages makes me a genuinely versatile asset for your project completion. Together, let's generate that clean list you so urgently seek!

@mdabu38

Hello, I can complete this task accurately and efficiently. I have experience with data collection, web scraping, and organizing information into clean Excel/CSV formats. I will ensure all data is accurate, well-structured, and delivered on time. I’m ready to start immediately and can follow all instructions carefully. Looking forward to working with you. Thank you.

@muhammadi476

Hello, I can help you quickly extract a clean and verified list of business email addresses from reputable online business directories across Berkshire and London, UK. I have solid experience in data extraction and lead generation, and I regularly use tools such as Python (Scrapy / BeautifulSoup), Selenium, and structured directory scraping methods to collect accurate contact data while respecting website rate limits and terms of service. For your project, I will: • Extract only email addresses from legitimate business directory listings • Ensure the list is fully de-duplicated and cleaned • Avoid role-based emails (info@, support@, etc.) unless it is the only contact available • Verify emails to reduce bounce and spam trap risks • Deliver a CSV or XLSX file ready for import Additionally, I will provide a short outline of the scraping process/script so the extraction can be reproduced later if needed. I understand the urgency of this task and can start immediately and deliver the first batch quickly. If the quality meets your expectations, I would be happy to continue with the 2k lists per industry as mentioned. Looking forward to working with you.

@shahajalalbabu00

Hi there! I Understand the value of accurate and efficient data entry. My expertise in Data Processing, ⛔Data-Entry⛔Excel⛔VBA-Macro⛔Power-BI & Accountant⛔PDF⛔ MS⛔Visual Basic⛔Data Processing⛔Excel⛔Excel VBA⛔Excel Macros will surely prove useful for this project. I have an excellent command over Power BI and can help you extract your data exactly the way you see it on the platform. In line with your goal to download the Excel file with utmost precision, I can assure you that my meticulous attention to detail will ensure a flawless transfer of all your data. Choose me for this project and let's achieve your goal together! Cheers! Jalal

@shabahathabib

Hello, I can help extract verified email addresses for businesses in Berkshire and London from reputable online directories. I will use a structured scraping approach with tools such as Python (Scrapy or BeautifulSoup) or controlled browser automation to ensure accurate data collection while respecting site rate limits and terms of service. The final dataset will include a clean, de duplicated list of email addresses collected only from directory listings. I will also filter out obvious role based addresses where possible unless they are the only contact available for a business. You will receive the results in a well organized CSV or XLSX file ready for import, along with a short explanation of the scraping steps used so the process can be reproduced later if needed. Best Regards, Shabahat Habib.

@mahrsaad211

Hi, I can quickly extract high-quality, verified email lists from trusted business directories across Berkshire and London, ensuring the data is clean, accurate, and ready for immediate use. My process focuses on filtering out spam traps, removing duplicates, and avoiding role-based emails unless they are the only available contact for a listing. Using reliable scraping tools (such as Python with BeautifulSoup/Scrapy or Selenium when needed), I will collect emails directly from business directory pages only, while respecting site rate limits and terms of service. Every email will be validated, de-duplicated, and organized into a clean CSV/XLSX file, making it ready for import into your system. I will also provide a brief outline of the steps/script used so you can reproduce the process later if needed. I understand this project is urgent, and I’m ready to start immediately and deliver the first 2K verified email list quickly and accurately. Let’s get started, I’m confident I can deliver exactly the quality you’re looking for. Thanks

@nikhilroyjs

Hello! I can swiftly provide the verified, de-duplicated email list for Berkshire/London businesses you urgently need. Leveraging my strong Python skills (from Django experience), I'll use Scrapy/Selenium to build a robust scraper. This ensures emails are exclusively from reputable business directories, not third-party aggregators, and explicitly avoids obvious role-based addresses or spam traps as per your criteria. I'll deliver a clean CSV/XLSX file with a process outline. Ready to start immediately! Regards, Nikhil Chandra Roy

@Jafferi12

Scraping local UK business directories usually leaves you with a massive list of useless honeypot addresses and generic emails that instantly ruin your sender reputation. As a computer engineer with a heavy background in OSINT/Offsec and Python data extraction I know exactly how to filter out those spam traps and pull only the real contacts. I will write a custom Python script using BeautifulSoup to scrape the London and Berkshire directories safely without triggering rate limits. Then I will clean the data and deliver a perfectly deduplicated CSV file. I will also make a simple Word document showing you exactly how to run the script yourself so you do not have to hire another freelancer the next time you need a new list. Send me the target industries right now so I can start pulling your first clean batch of 2000 emails today.

@Hemantt841

I understand you require a one-time extraction of verified, non-role-based email addresses from local business directories in Berkshire and London, with strict adherence to avoiding spam traps and duplicates. You need the data delivered as a clean CSV or XLSX file and a brief outline of the scraping method for future use. With over 15 years of experience and more than 200 completed projects, I specialize in Python-based web scraping and data processing, using tools like Scrapy and BeautifulSoup to extract accurate data while respecting site terms and rate limits. My background in API integration and automation ensures efficient and compliant data collection tailored to your requirements. For this task, I will build a Python scraper using Scrapy combined with BeautifulSoup to target only reputable business directory pages, filtering out role-based emails except where necessary. The process will include deduplication and validation steps, and I can deliver the final list within 24-48 hours, along with a clear script outline to enable you to reproduce the scraping later. Feel free to reach out so we can discuss the project details and get started promptly.