E-commerce Email Scraping

@imraz2016

Hi There, I can scrape all unique club/store names and corresponding contact emails from the listed sites, handle pagination or dynamically loaded content where needed, and deliver a clean deduplicated CSV/Excel file. I’ll use Python with requests/BeautifulSoup or Playwright/Selenium depending on each site, with respectful request pacing and clear error handling. I’ll also provide the reusable script/notebook plus brief run instructions so you can repeat the process later. I’m ready to start immediately.

@justmian876

As the leader of BN-Droids Digital Services, a team of highly skilled web scrapers and data extraction specialists, I am equipped to deliver superior results for your e-commerce email scraping project. We have successfully extracted and processed over 1 million data records per day with utmost accuracy - a feat that has solidified our position in the market over the last five years. I can confidently say that you won't find another team as experienced and detail-oriented as ours to handle your large-scale scraping needs.

@brashel

Hello Client, I can scrape all listed sites, extract unique club names and emails, handle pagination, respect site rules, and provide a clean CSV plus reusable Python script and instructions.

@hiberokpars

Hi! I have extensive experience with web scraping, data extraction and CSV/Excel processing. I can collect the club/store name and corresponding email from all provided sources, handle pagination and dynamic content where required, remove duplicates and deliver a clean CSV/XLSX file. I can build the scraper in PHP using cURL/DOMDocument, or use Node.js + Playwright for sources requiring browser rendering. I’ll also provide the reusable source code and brief instructions for running it again.

@bktk

Hello there! I will scrape email from the attached sites links right now within few hours 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. Regards: Muhammad Bilal KTK

@krupnovdenis

Hello! We can handle this one-time scrape and prepare a clean export with names and emails. 1. Which sites should we start with, and are there any you want prioritized? 2. Do you want the output in CSV, Excel, or both? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@albertc1996

Scraping contact details across club directories requires handling custom DOM structures, lazy loaded pagination, and obfuscated mailto links without hitting rate limits. I will write a custom python script using BeautifulSoup and Selenium to traverse all listed sites, extract unique club names and emails, and deliver a clean, deduplicated CSV alongside the executable script and simple run instructions. Which format do you prefer for the final report, CSV or Excel? I’ve completed similar targeted directory extraction projects in Python and can deliver both the cleaned dataset and the reusable script. Let me know if there are any specific additional target fields so I can finalize the scraper logic immediately.

@FreeLancers360

Hi, Thanks for posting "E-commerce Email Scraping" — it lands right in our wheelhouse, and we'd be thrilled to bring it to life. I don’t just want to tick the boxes here; my aim is to hand you something that genuinely goes beyond what you pictured. From your brief I can see this involves scraping, excel, web scraping — all areas we handle in-house. We specialise in Python, Data Processing, Excel, Web Scraping, which lines up directly with what you need. How we'd approach it: - Define the exact fields, sources and output format - Build the collection / processing pipeline - Validate accuracy and clean the data - Deliver in your preferred format with a short summary From kickoff to final handover, I’ll keep things transparent, on schedule, and squarely focused on your goals. I can start right away and keep you updated at every step — let’s make this a great one. Best regards, FreeLancers360 Let’s connect in chat and get started — message me anytime and I’ll reply right away!

@codeandcommand

I have done small e-commerce scrapes like this before, pulling club or store names alongside emails cleanly into structured output. I would use Scrapy with Selenium fallback for JS-heavy pages, then hand you a clean Excel file. Can start now, done within 48 hours. Budget and timeline here are rough based on the post, I will firm them up once I see the actual site list. Want me to send a quick scope doc?

@mdabu38

I’ll collect the club name from each link and open “More Info” to get the email shown there. If no email is available, I’ll visit the club’s linked website and find the public contact email there. Then I’ll match everything correctly, remove duplicates, and deliver a clean clubname + email Excel/CSV as requested. I will give you the best service. Contact me.

@muskaannadaf

Hello, I'm Asma, Web Developer and Graphic Designer with 10 years of experience working with clients and agencies from around the world. Creative problem solver with a passion for creating visually appealing and user-friendly digital solutions. I love building luxurious brands and designing captivating visual identities. I've worked with clients in lifestyle, property, fashion, hospitality, and luxury sectors. 24/7 Support & Faster Response . #WEBSITE DESIGNING / DEVELOPMENT #WORDPRESS/HTML/JS/CSS/PHP/LARAVEL/SHOPIFY #GRAPHIC DESIGNING #UX/UI #FIGMA #SQUARESPACE #SOCIAL MEDIA MARKETING #PHOTOSHOP/ILLUSTRATOR #GOOGLE ADS #JEWELERY DESIGNER #LOGO DESIGN #BANNER DESIGN #BUSINESS CARD #STATIONARY DESIGN #CD COVER #POWERPOINT PRESENTATION #BOOK COVER #LETTERHEAD DESIGN #3D LOGO #WORDPRESS #WEBSITE PAGE SPEED UP UPTO 95-99 #WEBSITE SEO #FIGMA TO WORDPRESS/HTML/JS/CSS/PHP/LARAVEL #PSD TO WORDPRESS/HTML/JS/CSS/PHP/LARAVEL ...... ETC :)

@naeem1114

Getting the club name and email from those pages can break when the email is hidden behind a JavaScript contact form. I'll start by crawling each URL with Scrapy, switch to Selenium only for pages that load emails via JavaScript, and throttle requests to respect robots.txt. The final CSV will be de‑duplicated and ready for import. A common pitfall is assuming the same club appears only once, which often leads to duplicate rows across district listings. I can deliver the script and a short run guide, and I'm ready to start right away.

@tyronet2

Hi, I can handle this scrape using the exact URLs you provided and return a clean, deduplicated CSV/Excel dataset containing club/store name + publicly listed contact email. I’m a senior full-stack developer with 9+ years of production experience and strong Python, web-scraping, data-processing, BeautifulSoup/Scrapy and browser-automation experience, so I can also provide a reusable scraper rather than only delivering the final data.

@hetali5

Hello, We understood your requirement properly and if you have no issues will perform sample work for you. Your success is our business, Let's discuss. "All The Best"

@jtolbert0175

Hi Scraping e-commerce sites to gather store names and emails efficiently requires a solid setup with Python tools like BeautifulSoup and Selenium. The core problem here is navigating and extracting data from pages that might have dynamic content. I'll handle this using Selenium to manage JavaScript-heavy pages and BeautifulSoup for parsing the HTML to fetch the needed fields. I've previously developed a similar scraping tool for a retail analytics firm, using these technologies to effectively gather and clean large datasets into CSV format. txt; it shows a thoughtful approach to ethical web scraping. I can help gather and deliver clean data and provide a reusable script so you can replicate the process. Let's chat about your target sites and align on the approach before diving in. Thanks, Jonathan

@abdullahbhabh

Hello, With my 10+ years of experience in Software Architecture, Full Stack Development, and Web Scraping, I am confident I can successfully deliver the eCommerce Email Scraping project for you. I have extensive knowledge and hands-on experience with widely used scrapers like Python, Scrapy, BeautifulSoup, and Selenium. My approach to this project is rooted in respecting site terms while maximizing extraction. I will effectively handle pagination, lazy-loaded content while ensuring reasonable request throttling to avoid blocking issues. My skills extend to providing clean, de-duplicated datasets in ready-to-import formats like CSV or Excel. Additionally, I will be more than happy to share the script or notebook I use for the scrape alongside concise run instructions. My goal as your partner is beyond delivering mere technical expertise; I am committed to meeting deadlines, offering transparent communication and building scalable solutions for clients. Let's craft a system that allows you to replicate or build upon the scrape if needed in the future. So why wait? Let's get started on this project! Thanks!

@Alexwebo23

Hi This project requires scraping e-commerce sites to collect store names and email addresses, which involves navigating dynamic content and handling throttling. txt. I've worked extensively with Python and web scraping tools, and previously developed similar scrapers that gather large datasets while managing dynamic loading and request throttling, ensuring clean output in formats like CSV or Excel. Your dedication to adhering to ethical scraping practices aligns with my approach, ensuring robust yet compliant data collection. Count on me to set up a reliable scraper and provide necessary scripts and instructions. I can guide you through my approach or examine any specific site's requirements to get started. Thanks, Oswaldo

@Ritesh11gupta

I see you need to scrape club or store names from multiple e-commerce sites. I've got solid experience with Python and scraping tools like BeautifulSoup and Selenium. How many sites do you have in mind for this project?