Funda Property Listing Scrape

@Junaid221

Hi. Initially i would say 5 days, if required more I will let you know because of the location access and automation. I will get you the data. I have some tools already that will get the data. Best, Junaid.

@sujonmax2

Hello, I can scrape all sales and rental listings from the provided Funda links and deliver a clean Excel file with street address, postal code, residential area (m²), municipality, and listed price with no duplicates. I will use Python with BeautifulSoup/Playwright to handle pagination and ensure accurate extraction. Delivery time is about 2–3 days. I can also provide the scraping script if needed. I focus on clean, verified datasets and fast turnaround. Regards sujon

@techplusintl

Hi, You need to extract sales and rental listings from Funda with details like address, postal code, area, municipality, and price. I will use Python with libraries like BeautifulSoup and Scrapy to get the data while handling pagination and anti-bot measures. I can deliver the data in an Excel file with clear headers and no duplicates in 5 days. I will also provide a short read-me file explaining any data cleaning. Can you confirm if you need the scraping script as well? Burhan

@ShaikhAneesa

Hello, I have analyzed the project requirements and understand the need for a complete extraction of property listings from Funda.nl. Let's chat and discuss it further. To handle your project, I will start with developing a custom web scraping script using Python with libraries such as BeautifulSoup and Selenium. I will ensure efficient data extraction while adhering to Funda's pagination and anti-bot measures. The deliverables of the project will be a well-structured Excel file (.xlsx) containing all requested property details without any duplicate rows. Before signing-off my bid, I would like to ask a question, i.e., would you require any specific formatting or additional information in the final dataset? Best Regards, Aneesa.

@gauravgargcs

Hello, Hope you are doing well, I will scrape the listings using Python with tools such as Playwright/BeautifulSoup to handle pagination and dynamic loading, then clean and structure the data before exporting it into a well-organized Excel file with an optional read-me explaining processing steps. With 10+ years of experience in web scraping and data extraction, I have delivered accurate datasets from complex websites with anti-bot protections while ensuring clean, structured outputs ready for analysis. Let’s connect in chat so I can confirm the total listing scope and provide the delivery timeline, fixed price, and optional script hand-off for the scrape. thank you Regards Gaurav Garg

@hiberokpars

Hello, I will create a PHP script to automate your task. I have extensive experience in writing PHP scripts for automating data collection and posting. Please see my reviews for reference.

@imahedi

Hi, I can do this work for you. I have good experience scraping property data and delivering clean structured Excel files so this work is very familiar to me. You can see my previous similar work here: https://www.freelancer.com/projects/data-scraping/Data-Scraper-Convenience-Store-List/proposals https://www.freelancer.com/projects/web-scraping/Data-Scraping-for-Business-Info/proposals My approach will be Python with Playwright/Selenium to handle pagination and anti-bot measures properly. I will deliver a single clean .xlsx file with a read-me tab explaining any assumptions made during data cleaning. I can deliver within 2-3 days of project award. I can do it for €100 Ready to start immediately. Please message me. Best regards, Mahedi

@HiraMahmood4072

Hello, With over 7 years of experience in Excel, Web Scraping, Data Extraction, Python, Data Mining, and Scrapy, I have carefully read the requirements of your Funda Property Listing Scrape project. To tackle this project, I propose utilizing Python along with Scrapy for web scraping. I will create a spider that navigates through the provided URLs, extracting the required property details such as full street address, postal code, residential area, municipality, and listed price. Pagination and anti-bot measures will be handled effectively to ensure efficient data extraction. The extracted data will be organized into a structured Excel file (.xlsx) with clear column headers and no duplicates. Additionally, a “read-me” tab will be included to explain any data cleaning or assumptions made during the process. I am keen on discussing this project further in detail. Please connect with me in the chat for a more comprehensive conversation. You can visit my Profile: https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@efanntyo

Hi there Thanks for posting this exciting project. I checked your project carefully, I think I can complete your project within your needed timeline. I am super professional in Python, Excel, Web Scraping, Software Architecture, Data Mining, Scrapy, Data Extraction, BeautifulSoup Please ping , I am always online here Thanks Efanntyo -.

@denisSolution

Hi client, I’ve carefully reviewed your job description and have strong experience in these Web Scraping, Data Extraction, BeautifulSoup, Data Mining, Excel, Software Architecture, Scrapy and Python. I can build a reliable web scraping solution tailored specifically to your needs. Whether using Node.js with Puppeteer/Cheerio or Python with Selenium/BeautifulSoup, I will extract, clean, and organize your data efficiently. I also handle anti-bot protections, pagination, and full automation as required. As you can see from my profile, my web scraping reviews are excellent, reflecting my commitment to quality work. I focus on writing clean, maintainable, and scalable code because I know the difference between 99% and 100%. If you hire me, I’ll do my best until you’re completely satisfied with the result. Let’s discuss your target website and preferred data format. Thanks, Denis

@gowthamsarathy

Hi there, Yeah I am expertise in PYTHON and I can do this for sure Kindly send me a message we'll discuss further Really looking forward to hear you Thank you

@AvinaHSinha7

Hi, I can extract all property listings from the Funda sales and rental pages and deliver a clean, well-structured Excel file with the required fields: street address, postal code, residential area (m²), municipality, and listed price. I’ve handled similar large listing scrapes and focus on accuracy, proper pagination handling, and clean datasets without duplicates. My approach would be to use Python with Requests/BeautifulSoup or Playwright if needed to handle dynamic loading, ensuring all pages are covered and the data is captured exactly as shown on the site. I’ll also provide a short read-me explaining any normalization or assumptions made during cleaning. If helpful, I can include the scraping script so you can run it again in the future. Ready to start now. Let’s connect over chat so we can confirm details and timeline. Best regards, Avinash

@mattafareed4848

Hello I can perform a complete extraction of all sales and rental listings from Funda, capturing the full address, postal code, residential area (m²), municipality, and listed price for each property. I will use Python with tools such as BeautifulSoup/Playwright to handle pagination and ensure accurate data collection, delivering a clean, duplicate-free Excel file with clear headers and a short read-me explaining the process. Estimated delivery: 1–2 days, and I can also provide the scraping script if required. Regards Muhammad

@johnallenvillan1

Hi, I reviewed your request to extract all active and inactive listings from both Funda koop and huur search endpoints, including addresses, pricing, living area, and municipality details. I’ve handled similar full‑site extractions before, such as a complete scrape of Immoweb where I delivered a deduplicated dataset and a documented cleaning pipeline. The real challenge here is Funda’s dynamic pagination and anti‑bot throttling; a junior scraper often misses the asynchronous loading patterns and ends up with partial data. I’ll avoid that by using Python with Playwright to render each page consistently and Scrapy for structured extraction, then validate fields against the detail pages for accuracy. I will parse all listings, normalize addresses, ensure unique rows, and generate a single clean XLSX file with a read‑me tab. If you want the script, I can package it with clear environment instructions. I only need confirmation on expected dataset size and whether you prefer Dutch locale formatting preserved or normalized. I can deliver within 2-3 days. Thanks, John allen.

@FaizalShaik80

Hello, hope you are well. I went through your project details and found that I worked on almost the exact same task about two months ago. I am a skilled freelancer with 6+ years of experience in Python, Excel, Web Scraping and I can deliver the results as quickly as possible. Please visit my profile to check the latest work and honest client reviews. Looking forward to working with you, connect in chat. Warm regards.

@hotanloc

I checked your project details carefully. With my core skill Python or JavaScript, I have finished Web Scrapting project which extract product name, product price, product date and product selling number and save this to excel or goofle sheet for uploading into client's google driver a few days ago. I have rich experienced in Web Scraping, Data Extraction, Machine Learning (ML), Python and Artificial Intelligence. I have full experience to develop python code for extracting the specific data from web site with python, HTML, CSS and JavaScript. If you give me your project, You can get best result with shortest time and best quality result. I am sure for your project and i can complete your project perfectly on time and with high quality. Please send me your message to discuss more about your project. I am waiting your reply now. Thanks.

@larsenm2020

As an enthusiastic learner and problem-solver with a passion for existing societal issues, I believe I am the ideal candidate for your Funda Property Listing extraction project, Larsen here. My expertise lies in data extraction and more specifically, Python-based scraping tools like Scrapy which I'll use for your project. Additionally, I'm well-versed in using the BeautifulSoup library to navigate websites, and proficient in Pandas to format the dataset for delivery. For this job, I propose the use of Python's Scrapy scrapers along with BeautifulSoup library to navigate securely through the site's pagination and anti-bot measures. This approach will ensure efficient turnaround without compromising on data accuracy. From award to delivery, I estimate a reasonable amount of time considering efficient scraping of all desired information while minimizing any ambiguity. Coming to cost estimation, my goal is always to provide value-for-money services. So you can expect a fixed price that not only includes capturing of listed details like full street address, postal code, residential area, municipality and the listed price but also encompasses post-processing ensuring clean and accurate data. And hey! If you would like a copy of the scraping script as part of the deliverables, consider it done. So why wait? Let's get started on extracting that valuable dataset for you!

@proy89

Hi, I can help with this. I’ve worked on several structured data extraction tasks and have 5+ years of full-stack experience, including Python-based scraping and data processing. For Funda, I’d build a small Python scraper using Playwright or Requests + BeautifulSoup depending on how the listings load. The script will iterate through pagination, collect the address, postal code, municipality, living area (m²), and listed price exactly as shown on each listing page, then normalize the fields and remove duplicates. After extraction I’ll validate the dataset and export everything to a clean .xlsx file with clear headers, plus include a short read-me tab explaining any assumptions or formatting steps. Estimated turnaround would be 24–36 hours from project start since this is a one-time scrape and the dataset size is manageable. I can also include the Python scraping script with comments so you can reuse it later if needed. Before starting I’d just like to confirm one thing: should the data be captured only from the result cards, or do you want the scraper to open each listing page to ensure the most accurate values? Looking forward to working on it.

@arslanshahid386

Hi there, You’re looking for a one-time extraction of property listings from Funda, capturing details like addresses, postal codes, and prices. With 4+ years of experience in web scraping, I can efficiently gather this data using tools like Python along with libraries such as BeautifulSoup or Scrapy, ensuring respect for pagination and anti-bot measures. I’ll structure the final dataset in a clean Excel file, complete with clear headers and a read-me tab to explain any data cleaning steps I take. My approach prioritizes data accuracy and timely delivery, which I know is important for this project. As I dive into this, I’d love to know if there are any specific data points you’d like to prioritize or if you have any preferences on how the final Excel file is organized. Best regards, Arslan Shahid