Web Scraper Needed – Extract Supermarket & Hypermarket Data from 2GIS UAE

@larsenm2020

HI i have done many webscraping projects in the past, i have more than 5 years of experience in the field of webscraping. I will use selenium or requests+bs4 whichever you prefer for scraping. Language used:python

@akkiwadhwa1995

I am a Python-based web scraping and data engineering specialist with extensive experience delivering reliable, scalable data extraction solutions for businesses, startups, and research teams. I have carefully reviewed your project requirements and understand the need for accurate, structured, and maintainable data pipelines. Relevant Expertise Web scraping using Python, BeautifulSoup, Scrapy, Selenium Handling dynamic websites, pagination, authentication, and anti-bot mechanisms Data cleaning, transformation, and validation using Pandas Data storage in MongoDB, SQLite, CSV, and Excel formats Script documentation and handover-ready delivery Approach I design scraping solutions that are tailored to the target website structure and your data usage goals. My focus is on long-term reliability, clean outputs, and compliance with reasonable scraping practices. What I Need to Proceed Target website(s) Data fields to extract Output format preference Update frequency (one-time or recurring) Expected timeline I am confident I can deliver a solution aligned with your expectations and would be happy to clarify any technical details before starting. Regards,

@HasanainAR

I read your project requirements and would be thrilled to collaborate with you. With expertise in Web Scraping and Data Extraction using Python, I specialize in navigating complex data structures and deliver efficient results and scalable solutions. Let’s connect to discuss further

@XRProConnect

Hi, Aashiq (Ash) here from Cape Town, South Africa. This project instantly caught my eye, so I had to reach out. I see you're looking for a web scraper to extract Supermarket & Hypermarket data from 2GIS UAE, including specific data fields like business name, contact details, and social media handles. Having helped businesses increase sales through high-converting websites and scalable development, I am confident in delivering the results you desire. Feel free to request samples of successful projects I've completed. Based on what you mentioned, here is how we would approach the project: - Utilize advanced web scraping tools for accurate data extraction - Organize data in Excel and CSV formats for easy analysis - Ensure clean, deduplicated data with proper labeling Rest assured, I prioritize clear communication and delivering a seamless, user-focused solution optimized for performance. Best Regards, Aashiq

@saimaf38

Hi there, We have already available 500k+ business email data of overall the UAE. If you interested for buying all Supermarkets and Hypermarkets email database of UAE kindly message to me. Thanks

@CauaAlves

I can build a reliable web scraper to extract structured data for all Supermarkets and Hypermarkets listed on 2GIS UAE. The solution will collect the required information including business name, contact numbers, email addresses, full address with emirate, website, category, and social media profiles where available. Special attention will be given to data accuracy, deduplication, and clean formatting so each location appears only once in the final output. I will deliver the data in both Excel (.xlsx) and CSV formats, properly organized with clear column headers and ready for immediate use. The scraper will be designed to handle pagination and dynamic content efficiently while maintaining stability throughout the extraction process. I have experience building web scrapers for business directories and similar listing platforms, with a focus on delivering clean, well-structured datasets that require minimal post-processing. I can also provide a small sample of the extracted data early in the process for your review before completing the full extraction. The final delivery will include the complete dataset along with clear documentation on how the data was collected and organized.

@Qad33rM3hdi

Yes! You are on the right bid. I have read all project details and descriptions regarding Web Scraper Needed – Extract Supermarket & Hypermarket Data from 2GIS UAE I will save your time by letting my work speak for you. If I am lucky enough to get your attention, please feel free to reach me so we can spend 10-15 minutes and discuss everything ;) You can check my portfolio and reviews regarding your Project: https://www.freelancer.pk/u/Q@d33rM3hdi Best regards! Qadeer Mehdi!

@Artem3388

Hi,This is something I can help with. I'd build the scraper in Python using an asynchronous approach (aiohttp), which allows me to process many pages concurrently and makes the extraction much faster and more scalable than a traditional scraper. Before starting, I'd like to clarify a couple of things: * Is this a one-time extraction project, or would you like a reusable scraper that can be run again in the future to refresh the data? * Should all information come strictly from 2GIS, or is it acceptable to use additional sources to fill in missing details (for example, emails or social media links if they're not listed there)? * Do you already have an expected number of businesses, or would you like me to estimate it first? I have experience extracting and cleaning structured business data, so the final dataset will be organized, deduplicated, and easy to filter or work with afterward. I'm also happy to provide a small sample first so you can review the data quality before the full extraction. Looking forward to hearing more about the project.

@Rashid8859

I have experience scraping business directories and map-based listing websites. I can extract business name, phone numbers, email, website, address, category, and social media details into a clean deduplicated Excel/CSV file. I will provide a sample of 10–20 records before proceeding with the full scrape and can complete the project within the requested timeline.

@manoval09

Hi, You need structured business data for every supermarket and hypermarket in the UAE from 2GIS — a platform with active anti-bot protections that makes straightforward scraping unreliable without the right approach. I'd handle this with Playwright in headless mode combined with rotating residential proxies to bypass 2GIS's bot detection, and first attempt their internal API endpoints (which 2GIS mobile apps call) to get clean JSON data directly rather than parsing rendered HTML. If the API route is blocked, I fall back to Scrapy with middleware for request throttling and session rotation. Output would be structured CSV/JSON covering name, address, coordinates, phone, category, and rating — deduplicated and validated. Within 24 hours I can deliver a working prototype scraping one emirate (say Dubai) with ~50 sample records so you can verify data quality and field coverage before I scale to all seven emirates. One question that will affect timeline: do you need this as a one-time extract or a recurring scheduled pull? Best regards, Val

@atonf0abdulAzz

Hi, Instead of scraping with resource-heavy browser automation like Playwright or Selenium, I will bypass the front-end map layers entirely and extract your data directly from 2GIS’s internal JSON Catalog API endpoints (/3.0/items). This API-first method guarantees 100% data accuracy, includes hidden fields (like social handles), and runs up to 10x faster without getting blocked. Answers to your requirements: 1 Estimated Record Count: Based on UAE retail patterns, you can expect between 1,800 to 2,500 unique physical locations (including chain branches like Spinneys, Carrefour Market, Zoom, and local mini-marts) across all 7 Emirates. 2 Sample Scrape: I have attached an Excel sample from a similar local business directory. I will deliver your 2GIS-specific test sample within 12 hours of being selected. My 2-Step Execution Plan: 1 Direct API Extraction: I will build a Python pipeline using requests to query the 2GIS catalog API directly, handling geographical bounding boxes per Emirate to capture every single supermarket and hypermarket location. 2 Pandas Normalization: Clean, deduplicate, format phone/social strings, and separate each Emirate into filtering columns. Deliverables: Structured .xlsx and .csv files delivered within 3 days. Fixed Price Quote: $65 USD (₹5,400 INR) | Delivery: 3 Days Best regards, Abdoul Aziz

@isaimsafeer

Hi, I can complete this project within the required timeframe and deliver a clean, deduplicated dataset in both Excel and CSV formats. I have experience building custom web scrapers and extracting structured business data from directories, listing websites, and map-based platforms. I can collect all required fields, validate the data, remove duplicates, and ensure one row per business location with properly labeled columns for easy filtering and analysis. What you'll receive: ✅ Business Name, Contact Details, Email, Website, Address, Emirate ✅ Business Category/Sub-category ✅ Social Media Links (where available) ✅ Clean, deduplicated Excel (.xlsx) and CSV files00 ✅ One row per location, not per brand ✅ Quality-checked dataset with no junk or blank rows ✅ Sample dataset (10–20 rows) before full delivery for approval I can also provide a record count estimate after reviewing the directory structure and search scope. My approach combines automation and validation checks to maximize both coverage and accuracy. I am available to start immediately and can provide a fast turnaround while maintaining data quality. Best regards, Saim Safeer

@anwaara23

Hello, I have carefully reviewed your requirement for extracting Supermarket & Hypermarket data from 2GIS UAE, and I can complete this project with clean, structured, and fully deduplicated results. I will extract all business listings across UAE Emirates and organize them into a well-structured dataset where each row represents one business location. All required fields such as business name, contact numbers, email (if available), full address, website, category/sub-category, social media links, and Emirate classification will be properly extracted and cleaned. I use professional data extraction tools to ensure accuracy, completeness, and proper formatting. Special attention will be given to removing duplicates, validating entries, and ensuring Emirate-wise filtering for easy use. The final output will be delivered in Excel (.xlsx) and CSV formats, fully ready for immediate use without any junk or missing structure. I am ready to start immediately and deliver high-quality, clean, and reliable business data exactly as required. Looking forward to working with you. Best regards, Anwaar Ali

@softdev0924

Hello, I understand your requirement — a structured, deduplicated dataset of supermarkets and hypermarkets across the UAE extracted from 2GIS, with clean and validated business-level information. I can build a reliable scraping workflow that navigates the directory, extracts each business listing at the location level, and structures the data into a clean Excel and CSV format as requested. The output will include all available fields such as contact details, addresses, emirate classification, category breakdown, and any listed digital presence. Before full delivery, I can provide a small sample batch so you can verify accuracy and structure. The final dataset will be fully cleaned, deduplicated, and organized for easy filtering and analysis, with no missing or malformed rows. The focus will be on data quality and consistency so the final output is immediately usable without additional processing. Best regards, Roovee Felicilda

@mubashir021

Hello, I can handle your web scraper task to extract supermarket and hypermarket data from 2GIS UAE with precision. I am Mubashir Ahmed, a Full-Stack Developer, Engineer, and UI/UX Specialist with 6+ years of experience in web scraping and data extraction. You need clean, deduplicated data for all listed supermarkets and hypermarkets. - I will analyze the 2GIS website structure to identify required data fields. - I will develop a web scraper using Scrapy to automate data extraction. - I will clean and deduplicate the data, organizing it into Excel and CSV formats. - I will conduct a quality check by providing a sample output for review. - I will deliver the complete dataset within 3-5 business days. I can provide a FREE detailed quotation and project proposal with a suggested roadmap. My Portfolio: https://www.freelancer.com/u/mubashir021/Automation-Expert Send me a message, happy to talk details. Mubashir Ahmed

@Hrolgar

2GIS's catalog API returns branch data as structured JSON, so the actual work here is hitting their /catalog/branches/search endpoint with a rubric filter rather than parsing rendered HTML. The fields you want (name, address, phone, geo, hours, category) come back clean in the response. Approach: tile the UAE into a bounding-box grid across all seven emirates, query each cell filtered to supermarket and hypermarket rubrics, and dedup on the id field since adjacent tiles overlap at edges. Final output in both CSV and JSON with normalized column names matching your spec. Deliverable: complete Scrapy spider with session handling, geo-tiling logic, and dedup layer. Two days, 12,500 INR. One question before I finalize scope: do you want hours of operation normalized per-day (open/close per weekday), or raw as the API returns them?

@ahtasham4u

Instead of scraping only the visible directory listings, I will extract business details at the location level, validate and deduplicate records, classify them by emirate and business type, and structure the dataset so it is immediately usable for filtering, outreach, or market analysis. I recently completed a directory extraction project where raw listing data was cleaned, enriched, deduplicated, and delivered in Excel and CSV format with location-based categorization and verified contact information. Before extraction, should businesses with multiple branches under the same brand be included as separate records when they have unique addresses and contact details, or would you prefer brand-level consolidation? I can provide a sample dataset first for verification and then proceed with the full extraction once the format is approved. Best regards, Ahtasham

@DevAbhiJai

Hello, I am a backend and data acquisition engineer specializing in building robust web scraping pipelines for complex directories like 2GIS. I understand you need a highly accurate, structured dataset of all Supermarkets, Hypermarkets, and Mini Marts across all 7 Emirates in the UAE, complete with social handles, contact details, and precise location mapping. 2GIS utilizes dynamic map rendering and anti-scraping measures. To ensure 100% data coverage without missing locations, I will use a custom script (utilizing Python/Scrapy or a headless browser automation layer) to simulate real-user geographic queries across Dubai, Abu Dhabi, Sharjah, Ajman, RAK, Fujairah, and UAQ.