Bangalore Real Estate Data Scraper

@SBITServices

Hi, I have over 8 years of experience working with various data-related tasks and have successfully handled projects involving extracting information from websites, collecting and validating data, cleaning large datasets, and preparing reports in Excel, CSV, and databases. I can work with tools and technologies such as Python, BeautifulSoup, Selenium, APIs, Excel, Google Sheets, and custom scripts to deliver accurate and organized results. I pay close attention to detail and ensure that the data provided is reliable and meets your requirements. Whether you need lead generation, market research, product data extraction, data entry, or ongoing data processing support, I can deliver quality work within the agreed timeline. I am committed to clear communication, timely updates, and maintaining confidentiality of your data. I would be happy to discuss your project requirements and provide the best solution. Thank you for your consideration. I look forward to working with you. Lets connect in chat so that We discuss further. With Regards, Sai

@raminde

Have over 18 years of experience in data mining/ Web scrapping/ Scraping Bots/ Chrome/Opera Extensions I have done it all. Tell us your source and we will put it in excel for you, Or we can even give you filtered results as per your requirement, In the format you want. You can also ask for data into a particular format - Excel, Json, Mysql, Databases, XMLs, you name them. Further Can help you with integrating it with ur databases, Can create json outputs. We are not only good with scraping but also with the tools that u may need after that. We can help you build you softwares round the data we have 99% Data Accuracy. We have Duplicate finder. etc., We can help with Statistics on the data We can help with creating Api's front the data We can create Softwares to manage that data We can build Sites round the data

@justmian876

With a team of five expert developers and data specialists, BN-Droids Digital Services is a perfect fit for your Bangalore Real Estate Data Scraping project. Our extensive experience in web scraping and data extraction has granted us the capacity to process over 1 million+ data records daily while maintaining high levels of accuracy and efficiency. We pride ourselves on having built and managed massive databases containing over 20 million business and retail records from regions across the world, including the USA, UAE, Europe, Australia, and Canada. Hence we have unique familiarity with handling real estate websites like Magicbricks and 99acres.

@jinufeb14

As a seasoned software engineer ranked in the top 1%, I am the one you can rely on to deliver a robust and efficient solution for your Bangalore Real Estate Data Scraper needs. My expertise in data extraction, data mining, and Python lends itself perfectly to the task at hand. I have extensive experience with web scraping methodologies such as BeautifulSoup, Scrapy and leveraging the latest techniques against anti-bot countermeasures including CAPTCHAs, dynamic content, and pagination. Being future-ready is not just a catchphrase for me, it's a core philosophy that drives me to stay updated with the latest tools and platforms in cloud technology. With this skillset and mindset, I assure you of an automated system that will efficiently pull out your desired property listings while maintaining scalability without compromising on accuracy. In addition to delivering detailed datasets, including project/community name, full address, area size, number of houses/flats, key amenities, and pricing - I will also provide you with the scraping script well-commented for easy future assistance. You can expect your first batch of 50 high-quality records within 3 days for your review before commencing the full delivery of complete CSV or Excel files. Let's make sure we've got everything just right before we proceed further. Hire me today and experience top-notch service from a professional committed to your satisfaction.

@adey665

“python script/ Bangalore data” I have worked on similar projects to what you are looking for, and I am confident I can exceed your expectations. I will show you a sample first. I can work right away. Please message me. Thanks

@mattafareed4848

Hello I can scrape 1,000 Bangalore property listings from the specified portals, filter them by your target localities, and deliver a clean CSV/Excel along with the well-commented scraping script and run instructions. I'll ensure minimal duplicates, handle dynamic content and anti-bot measures, and provide the first 50-record sample within 3 days. Regards Muhammad

@AvinaHSinha7

Hi, I can help build a reliable scraping solution for MagicBricks, 99acres, and other Bangalore property portals. I have extensive experience scraping real estate, eCommerce, YellowPages, Amazon, eBay, and other dynamic websites using Python, Playwright, Selenium, BeautifulSoup, and Scrapy. I'll deliver a clean, deduplicated dataset with the required fields, a well-documented Python scraper, and clear setup instructions. The scraper will handle dynamic content, pagination, and anti-bot measures using rotating user agents, rate limiting, and proxy support where needed. I can provide a sample of 50 records within 3 days before proceeding with the full 1,000+ listings. Looking forward to discussing your target localities and getting started.

@muneeb6767

I can build a reliable Python-based scraper to collect 1,000+ Bengaluru property listings from Magicbricks, 99acres, and other relevant portals while ensuring the data is clean, de-duplicated, and limited to your target localities. I'll use Playwright/Scrapy with intelligent retry logic, rotating user agents, and structured parsing to handle dynamic pages and anti-bot measures, then deliver a well-documented script plus CSV/Excel with all required fields.

@Mokshith30

Hi, I can deliver a reliable scraping solution for this project. I have experience scraping dynamic real estate websites using Python (Selenium, BeautifulSoup, Scrapy) with handling for pagination, JavaScript-loaded content, and anti-bot measures.

@pvsysgroupinc

★★★ TOP 1% IN FREE LANCER WORLD ★★★ ★★★ 20+ Year Experience in IBD being CMD★★★ ★★★ 200+ Country Satisfied Clientele ★★★ ★Linkedin★ ★Data Entry★ ★Business Plans★★★ ★★★ Operational Strategic planner Customer Support 24*7★★★ ★★★Excel/Word Operation★★★ ★★★Chat Support★★★ ★★★Calling Support★★★ ★★★Business Plans / Marketing Strategy ★★★ * Digital Marketing★★★ ★★★Social Media Marketing ★★★ ★★★Internet Marketing ★★★ ★★★Any type of Data Projects★★★ ★★★★★★ Regards, ★★★CMD★★★ ★★★PVSYS GROUP (INDIA)★★★ ★★★IF YOU THINK THEN I CAN★★★

@prashanpatel557

Hello, Your project is a great match for my experience in Python web scraping, large-scale data extraction, and data processing. I’ve built scraping solutions using Playwright, Selenium, Scrapy, BeautifulSoup, and Pandas, including projects that handle JavaScript-heavy websites, pagination, deduplication, and structured Excel/CSV exports. I can develop a robust Python scraper that collects 1,000+ Bangalore property listings from the portals you specify, extracts all required fields (project name, address, area, units, amenities, and price), removes duplicate projects, validates Bengaluru locations, and exports the data to Excel/CSV. The solution will include configurable locality filters, logging, retry mechanisms, and clear documentation so you can rerun it anytime. If you prefer a more scalable solution, I can also develop a Python-based web application that runs on your local PC or VPS, allowing you to manage locality lists, launch scraping jobs, monitor progress, and download results through a browser from your desktop or mobile. Before we begin, could you please share the list of Bangalore localities and confirm which property portals you want included? This will help me design the scraper for maximum coverage and data quality. I’m ready to start immediately and can provide a sample of 50 records for your review before proceeding with the complete dataset and source code.

@mdabu38

Hi, I can scrape 1,000+ unique Bangalore property listings with clean, verified data and deliver the 50-record sample. Contact Me

@Abror86

< Hi — Abror-Yakubov here from Uzbekistan > "BENGALURU PROPERTY DATA SCRAPER" — you need 1,000 clean listings from local real‑estate portals. I will build a Python Scrapy spider that rotates proxies and handles CAPTCHAs with a 2Captcha integration, then outputs a CSV with all required fields. I have delivered similar large‑scale real‑estate scrapers with >5,000 rows and zero duplicates. The spider will respect pagination, detect dynamic content and pause to avoid bans, ensuring 95 %+ field completeness. Do you have a preferred proxy provider or should I set up rotating free proxies for the scrape? Looking forward to working with you.

@Linkmez

Hi, I've built scrapers for Indian real estate portals before and can deliver this efficiently. Here's my plan: 1. Scrape Magicbricks + 99acres (+ 1-2 similar portals) for Bangalore gated communities, villas, apartments, and row houses. 2. Use Python + Scrapy with rotating user agents, proxy rotation, and retry logic for anti-bot handling. I'll handle dynamic content with Playwright where needed. 3. Capture all 7 fields: project name, address, total area, unit count, amenities, price/price range — deduplicated, Bangalore-only. 4. Deliver 50-record sample within 3 days for your review, then proceed to full 1,000+ dataset. Deliverables: clean CSV/Excel, well-commented Python script, run instructions. I can start immediately. Share the neighbourhood list and I'll begin right away. Best,

@thiagofoz87

I can build a reusable scraping pipeline focused specifically on Bangalore residential projects across Magicbricks, 99acres and similar portals, with validation rules to ensure only qualifying gated communities, apartments, villas and organized housing projects are included. The main challenge here is not only extracting the data, but handling dynamic pages, pagination, inconsistent listing formats and anti-bot protections while maintaining high completeness and avoiding duplicates. My approach would be: - Scraping with Python (Scrapy + Playwright/BeautifulSoup where needed) for stability and scalability. - Rotating user agents, request throttling and session management to reduce blocking risk. - Data normalization layer to standardize addresses, prices, acreage/sqft values and amenities. - Deduplication based on project name + address similarity. - Validation filters to guarantee Bengaluru-only records and enforce mandatory-field coverage. Deliverables will include: - CSV/XLSX dataset with 1,000+ validated rows. - Fully commented scraping scripts. - Setup and execution instructions for reruns. - Initial sample batch of 50 records within 3 days for quality review. I can start immediately and structure the scraper so additional localities or portals can be added later without major rework.

@ShabbarAbbas

I'll extract the required property listings from Magicbricks, 99acres, and similar Bangalore-focused portals using a Python-based scraping solution with Scrapy, handling dynamic content and paginated results. I'll design a simple data pipeline to capture the specified fields, including project name, address, total area, number of houses, key amenities, and cost per house, and store them in a structured CSV file. I plan to use a combination of user agent rotation, proxy servers, and delay mechanisms to evade anti-bot countermeasures, ensuring a high success rate for data extraction. The final deliverable will be a CSV file with at least 1,000 complete rows, along with the well-commented scraping script and brief run instructions. Do you have a preferred proxy service or would you like me to use a rotating proxy solution to handle CAPTCHAs and dynamic content? Should the script be designed to handle a specific frequency for scraping, such as daily or weekly updates, to ensure data freshness? Best regards, Muhammad Shabbar A.

@NEHABHAT92

With over 9+ years of experience in web and mobile development, I have acquired a versatile set of skills that make me an ideal candidate for your data scraping project. My proficiency in Python, BeautifulSoup, and Scrapy will enable me to build a highly functional scraping script for you. Having done similar tasks in the past, I understand the importance of clean and accurate data; I guarantee not only the delivery of your dataset with 1,000 rows but also with fields populated for 95%+ of those rows. My approach to this project is systematic and efficient; I will incorporate necessary countermeasures to overcome CAPTCHAs, dynamic content, paginated results or any other anti-bot defenses. This ensures your dataset draws information exclusively from platforms relevant to Bangalore’s real estate market without any duplications. Moreover, my ability to provide a well-commented script will significantly assist with any future reruns the task may require. Rest assured, my company relies on rotating user agents and proxies expertise, ensuring optimal performance even in such situations. After all, a project well done means my clients can run it independently thereafter. To attest the quality of my work before proceeding full-scale, allow me to provide you with a sample of 50 records within three days. Furthermore, you can expect not just comprehensive data but also ease of usage through insightful running instructions provided by my team. So let’s post project

@bhargav922002

Hello, I'm bharghav, with 10 years of experience in Matching Job Skills, specifically adept at Python and Web Scraping. My expertise ensures precise data extraction and robust script development. I understand your need for a Bangalore real estate data scraper from Magicbricks, 99acres, and similar portals. I will use Python and a suitable scraping library to gather 1,000 unique property listings, including project name, address, area, number of units, amenities, and cost. I'll handle anti-bot measures effectively. Please initiate a chat so we can discuss the specific localities and the 50-record sample delivery. Best regards,

@AdnanStaxivo

I can build a robust Python-based scraping solution using Scrapy + Playwright to collect Bangalore property project data from Magicbricks, 99acres and similar portals. The scraper will handle pagination, dynamic rendering, duplicate filtering and export clean Excel/CSV datasets. I will first provide a 50-record sample within 3 days for quality verification before scaling to 1000+ records.