Garden Centre Contact Extraction

@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

@BithiXpert

Hello, I can extract all garden centre listings from the provided website and compile them into a clean, well-structured Excel spreadsheet. For each centre, I will visit its individual profile page and accurately capture the phone number, email address, and full physical address exactly as shown, ensuring no assumptions are made where data is missing. The final file will include one row per garden centre with clearly separated columns for name, phone, email, street address, town/city, and postcode. I will double-check all entries for spelling, formatting consistency, and accuracy so the sheet is ready for filtering and analysis. I’m ready to begin as soon as you confirm. Best regards, Shamima

@Tanmoy236

Warm greetings! I specialize in large-scale web scraping and structured data extraction with 9+ years of experience in Python, Excel automation, and data processing pipelines. Here’s how I can help: * Extract all garden centre listings from your target website with full profile crawling * Capture structured fields (name, phone, email, street, city, postcode) with strict accuracy rules * Build a clean Excel output with consistent formatting and blank-safe handling * Ensure reliable scraping logic (rate limiting, retries, no duplicate or missing mapping errors) I will ensure data integrity is prioritized over speed and deliver a fully filterable Excel file ready for immediate use. Have you confirmed whether the site has any anti-bot protection or login restrictions, or should I design the scraper assuming open access only?

@paulmd369

Okay, sir, I will provide initial sample for your approval. Let me know. I have a strong team for scripting the work. Let me know. Thank you so much.

@ShaikhAneesa

Hi there, I’ve reviewed your requirements and understand the need for a high-accuracy, structured dataset of garden centres sourced directly from the Garden Centre Guide. I am confident I can execute a rigorous extraction and verification process to ensure every phone number, email, and address is captured with absolute technical precision. My approach begins with a structural audit of the directory to map out the data hierarchy and ensure a "Source of Truth" for each profile. I will navigate through each individual listing to extract the raw contact data, bypassing common formatting inconsistencies to ensure uniformity across all entries. Next, I will implement a strict data normalization process, isolating the street address, town, and postcode into their respective columns while maintaining exact site-matching accuracy. Finally, I will conduct a comprehensive manual spot-check for spelling and number formatting before delivering a clean, backend-ready Excel file designed for seamless filtering and sorting. Beyond the delivery, I focus on a "zero-guesswork" methodology, ensuring that missing fields are left blank to preserve the integrity of your dataset for later analysis. To ensure the final file is perfectly suited for your needs, would you like the postcodes formatted with a space (e.g., SW1A 1AA) or as a continuous string for your CRM? Let’s get started on extracting this data for you. Warm regards, Aneesa.

@TanvirKhanPaple

Hi there, Project is very clear to me and I can collect all garden centre details from Garden Centre Guide and organize them into a clean spreadsheet using Microsoft Excel with accurate phone, email, and full address fields. Just message me I am ready to start now and I will send a sample before start. Thank you.

@tusharhossen123

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

@tmoi06

Hello Sir, I can accurately extract all garden centre listings from the provided website and compile a clean, well-structured Excel file with complete contact details. I’ve worked on similar large-scale data extraction projects where I navigated directories, captured structured data (phone, email, full address), and ensured consistency across all rows with proper formatting. I can deliver a sample of 10 entries first for validation, then complete the full dataset with 100% accuracy, ensuring standardized columns and clean Excel output ready for filtering and sorting. Thanks Ayan

@imfarrukh47

Hi I will scrape all the data from given website using python. I have expertiese and can handle this task easily. Project will be delived as an cleaned excel file asap Ping me a message so that I can start

@sareheshak

I can scrape all garden centres, extract phone, email, and full address, and deliver a clean, structured Excel file with accurate, verified data and consistent formatting. 10+ years Advanced Excel experience, Certified VBA Programmer, MBA.

@gauravgargcs

Hello, I will build a reliable scraping solution that visits each listing and profile page to capture name, phone, email, and full address with strict accuracy checks. With 10+ years of experience in data extraction and automation, I ensure clean, structured, and duplicate-free datasets ready for business use. The final output will be a fully formatted Excel file delivered with consistent columns and zero missing formatting issues. Let’s connect in chat to proceed and finalize the delivery format and timeline. thank you Regards Gaurav Garg

@FreelancerTechX

Hello, I can get this done in 3-4 hours Thanks and Regards, Everest Technology .

@freelance4hire80

Hi there, I can help you pull this together cleanly and accurately. I’ve worked on similar directory scraping and data extraction tasks before, and I’m comfortable going through each listing one by one to capture the details exactly as shown — no guessing or filling gaps. I understand that consistency matters here, especially with formatting things like phone numbers and addresses so the final Excel is easy to filter and use. For this project, I’ll: -Go through each garden centre listed on the site -Open every profile individually and extract phone, email, and full address -Break the address into the required columns (street, city, postcode) -Leave blanks where data is missing (no assumptions) -Double-check entries for spelling, formatting, and duplicates You’ll receive a well-structured Excel file with one row per centre, ready for sorting and filtering. If you’d like, I can also share a small sample first so you can confirm the format before I proceed with the full dataset. Let me know

@chwaqas5434

Hi, I’ll extract every garden centre from the given URL into a clean Excel with columns for name, phone, email, street address, town/city, and postcode exactly as shown on the site. I’ll visit each profile manually, verify accuracy, and leave blanks where data is missing. I’ll deliver a polished, filterable Excel you can sort and use right away. Ready to start as soon as approved.

@techplusintl

Hi, To collect contact details from the garden centre profiles, I'll extract phone, email, and address and organize them into Excel. This will include: - Going through each profile and pulling required data - Formatting everything into a clean Excel sheet Ready to start once you share the list or source. Thanks!

@shamparani25

Dear Hiring Manager, I checked the directory, and it contains around 4700 garden centres. I can definitely collect all the data with accuracy, but to ensure quality, I’ve prepared a small sample for you. Also, please confirm your preferred pricing structure for the full volume. Looking forward to your confirmation. Best regards, Aninda

@rani60003

Hi there, I'm ready to scrape the contact details of every garden centre in this link. I'll show few sample first to ensure the accuracy. Message me ASAP to start. Thanks

@maxscender

I can help you. I will manage the multi-layered navigation required to move from the regional index down to the individual profile pages. A hidden difficulty with this site is that address strings vary in length and format; I will use a custom parsing script to ensure the Street, Town, and Postcode are correctly segmented into individual columns rather than dumped into a single cell. I am also prepared to handle potential email obfuscation or "Click to Reveal" scripts that standard scrapers often miss, ensuring every available contact point is captured accurately in the final Excel file.

@maxota940601

Thanks for the detailed requirements. This is a fairly large scraping task since each garden centre profile needs to be visited and validated individually to ensure accuracy. I can complete this and deliver a clean Excel file with the required fields. If you'd like, I can start with a small sample (10–20 entries) so you can review the format and quality before proceeding with the full dataset.