Scrape Store Data Spreadsheet

@hdlan

Hi Adam, I can help you extract store data from a supplier and organize it into your existing Excel spreadsheet accurately and efficiently. Please refer to my similar project https://www.freelancer.com/projects/internet-marketing/Extract-data-from-specific-website https://www.freelancer.com/projects/internet-marketing/Data-extraction-from-the-website https://www.freelancer.com/projects/internet-marketing/Data-entry-from-Surface-website https://www.freelancer.com/projects/data-extraction/Scrape-URLs-from-Provided-Site I’m available online most of the time and respond to messages within 12-24 hours. Let's talk! Duong

@imraz2016

Hi There, I have strong experience with **store-locator scraping, web research, Excel/Google Sheets, geocoding, and location-data validation**. I can extract the remaining **700+ store locations** from Supplier A’s website, including store name, full address, opening hours, latitude, and longitude, then append them to your existing sheet in the same format as the ~80 completed rows. I’ll keep the data consistent, remove duplicates, and manually spot-check at least **10 random map coordinates** against Google Maps before delivery. I’m ready to start immediately.

@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

@imtyzooel71n

Hi, I am Senior Python script developer with 13 years of experience. I can scrape your required website by python script/bot with your instructions very short time. Can we discuss please? Thanks

@pandey2008

Hello we can provide to you 700 store details and also start work right now just give us one chance we will do our best awaiting your answer,thx……..

@ZohaibRoy

⭐⭐⭐⭐⭐ Gather Store Data Accurately for Your "Find a Store" Feature ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and noticed you're looking for someone to collect store data from Supplier A's website. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for data collection and web scraping. I will gather every location's name, full address, opening hours, and coordinates, ensuring everything is accurate and ready for your spreadsheet. ➡️ Why Me? I can easily do your data collection project as I have 5 years of experience in web scraping, data entry, and data management. My expertise includes using Python, BeautifulSoup, and Selenium for efficient data extraction. Besides, I have a strong grip on data validation and spreadsheet management, ensuring your final data is complete and accurate. ➡️ Let's have a quick chat to discuss your project in detail. I can show you samples of my previous work, demonstrating my skills in data collection and management. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Web Scraping ✅ Data Entry ✅ Python Programming ✅ BeautifulSoup ✅ Selenium ✅ Data Validation ✅ Excel Management ✅ Google Sheets ✅ Coordinate Extraction ✅ Address Formatting ✅ Data Cleaning ✅ Quality Assurance Waiting for your response! Best Regards, Zohaib

@mananraja

Hi I have reviewed the attached Excel sheet and can develop a Python script to populate the required data for the remaining 700+ stores, as per the attached format. I'm available to discuss details in chat and can start right away, to provide you complete and consistent dataset. Abdul H.

@mjanchi

Hello there as you can see from my profile I have experience in similar projects. Please contact me for more info. Thanks

@afua23

Hello there, I have read your project with title Scrape Store Data Spreadsheet carefully and i can help you. I have a 15+ experience in web scraping. Here are a few examples of past projects i have completed here: https://www.freelancer.com/projects/data-entry/Scrape-Data-from-Websites-39311571/details https://www.freelancer.com/projects/data-extraction/Web-Database-Extraction-Script/details https://www.freelancer.com/projects/php/PYTHON-SCRAPER-35879443/details https://www.freelancer.com/projects/excel/Web-scraping-for-public-information/details Let's chat so that we can discuss the fine details/ Thanks Claudia

@Tanmoy236

Hey! I specialize in web research and data extraction with 9+ years of experience building accurate, structured location datasets. I can complete the remaining 700+ stores and append everything directly to your existing template. Here’s how I can help: • Extract store names, addresses, hours, longitude, and latitude • Standardize all data consistently for your Find a Store feature • Append 700+ locations directly into your existing spreadsheet • Spot-check 10+ coordinates against Google Maps before delivery Could you share the current spreadsheet and Supplier A website so I can begin?

@farhanyoussef18

Youssef, Full-Time Python Developer specializing in data extraction and spreadsheet automation. You need the remaining 700+ Supplier A store locations with addresses, hours, and coordinates added to your existing spreadsheet for your "Find a Store" feature. I'll scrape Supplier A using Python with Selenium to handle any dynamic content, extracting each store's name, full address, opening hours, and precise lat/long. The data will be cleaned and formatted to match your template, then appended directly into your provided sheet. I will perform the required sanity check, spot-checking 10+ random locations against Google Maps to verify coordinate accuracy. I've completed many similar large-scale store data extraction projects. Can you share the link to the Supplier A website and your current spreadsheet template? Ready to start immediately.

@ShaikhAneesa

Hi there, I understand this project requires completing your existing store database by researching approximately 700+ missing locations from Supplier A’s website, capturing each store’s name, complete address, opening hours, and exact latitude/longitude, then appending the records to your existing spreadsheet without disturbing the ~80 stores already populated. I’m confident I can handle this with a reliable scraping and validation workflow. My approach is to first inspect your spreadsheet structure and Supplier A’s store-locator pages, then build a Python-based scraper using requests/BeautifulSoup or Selenium/Playwright depending on how the location data is loaded. I’ll collect every required store, standardise the full address and opening-hours format, and capture longitude and latitude in separate fields. I’ll validate missing fields, duplicates, malformed coordinates, and inconsistent formatting before matching the scraped locations against your existing list and appending only the missing rows. For QA, I’ll randomly select at least 10 locations and verify their coordinates against Google Maps to confirm the pins correspond to the correct stores. Is Supplier A’s website the only source we should use for the store details and coordinates, or can its underlying store-locator/API data also be used where available? I’m ready to start immediately. Warm Regards, Aneesa.

@vano101

Hello, I can scrape and complete the remaining 700+ store locations accurately and add them directly to your existing spreadsheet. I’ll use Python with BeautifulSoup/Selenium (or the most reliable approach for Supplier A) to extract each store’s name, complete address, opening hours, latitude, and longitude, while keeping the formatting consistent with your existing 80 records. I’ll also deduplicate and validate the data, then spot-check at least 10 random locations against Google Maps to verify that the coordinates correctly match the store addresses.

@ZAZwork

Hi, You need someone to research the remaining 700+ store locations, collect accurate store details, and add them to your existing spreadsheet. I believe I am the right person for this. I have 7+ years of experience in data research, Excel, web research, and eCommerce operations. I can collect and verify store names, complete addresses, opening hours, latitude, and longitude, while keeping the formatting consistent with your existing 80 store data. Looking forward to working together ! Best Regards Khadija

@asifdwan

Hi, Could you just award it now? I can complete the remaining 700+ store locations and add the store name, full address, opening hours, latitude, and longitude directly into your existing spreadsheet. I’ll source the details from Supplier A, keep the formatting consistent with your current 80 records, and validate the coordinates with Google Maps; geocoding and coordinate verification are important for reliable store-locator pins. I can also perform the requested 10+ location spot-check before delivery.

@axiomswb

Filling the remaining 700+ rows in your 'Find a Store' spreadsheet from Supplier A's store locator — that is the exact task I am set up to handle. Here is how I will approach it: I will open the browser network tab first and look for the underlying API call the store locator makes when it returns results. If coordinates are embedded in that response, I pull them directly rather than geocoding addresses afterward — meaning the longitude and latitude columns feed your map with the same values the site itself uses, not approximations. If results require a postcode or region trigger rather than loading all 800 locations at once, I will loop through a full UK postcode district list to guarantee no store is missed. That gap in coverage is the most common reason scrapes like this come back short. I will then run the output through Pandas to deduplicate, standardise opening hours into your preferred format such as Mon-Fri 9 am-6 pm, and align every column to your existing 80-row template exactly. Before delivery I will spot-check at least 10 random coordinates against Google Maps and flag any pins that look off. Delivery in 5 days for 135 GBP. One question: does the Supplier A locator expose an XHR or fetch request in the network tab when locations load, or does it render everything directly into the page HTML?

@justmian876

As the founder of BN-Droids Digital Services, I'd like to highlight how our team is uniquely positioned to complete your project proficiently and exceed your expectations. With extensive experience in web scraping and data extraction, we've successfully handled projects entailing over 1 million+ data records per day with impeccable accuracy and precision. Evidently, it demonstrates our capability to handle the sheer volume of data extraction work required for all your 800 stores. Remember, at BN-Droids Digital Services we don't just collate albeit spray datasets; we embellish spreadsheets with value-added elements. In this case, we not only offer street addresses but also opening hours in a clear formatting - ideal for smoother search engine integration. Our ambitions don't stop at handing over your updated spreadsheet, but instead testing it by validating perfect mapping alignment for random stores on Google Maps. Through this comprehensive approach, beloved client, we seek not merely satisfaction but customer ecstasy!

@w3saddam

Hi, I can complete the remaining 700+ store locations accurately and append them to your existing spreadsheet. I’ll manually verify Supplier A’s store name, full address, opening hours, and exact latitude/longitude, using Python/Selenium or manual research as needed. I’ll keep the formatting consistent with your existing 80-store data and perform a 10+ location Google Maps spot-check to ensure the coordinates are correct. Accuracy and completeness are my priorities. I’m ready to start immediately. Best regards, Saddam

@p4logics

Hello Sir, I understand you need to scrape missing details like addresses, hours, and exact lat/long coordinates for the remaining 700+ stores from a supplier's website into your existing spreadsheet. To solve this, I will write a custom Python scraper using BeautifulSoup and Selenium to efficiently extract this data and match your exact template format for the "Find a Store" map. Finally, I will perform the requested manual sanity check on Google Maps to ensure all location pins are 100% accurate before delivering the completed file.