Zillow Zestimate Scraper Automation

@gunslinger

Hello there! I’ve handled large scale scraping pipelines like this where the real challenge isn’t just extracting data but keeping it stable across tens of thousands of requests, especially with sites like Zillow that aggressively rate limit. I’d approach your 50 sample first using a Python based system with controlled concurrency, rotating sessions, and retry logic so results stay consistent and don’t silently fail, then scale it into a batch pipeline that reads your Excel, resolves each address reliably, and writes back structured results with validation checks so you don’t get mismatched estimates. I won’t overpromise scraping speed, I focus on accuracy and durability so it still works beyond a few runs, and I can share the sample output quickly to validate before scaling. Kindly contact me for further discussion.

@ZohaibRoy

⭐⭐⭐⭐⭐ Extract Zillow Zestimate Values for Large Property Address Dataset ❇️ Hi My Friend, I hope you are doing well. I reviewed your project requirements and see you are looking for someone to scrape Zillow Zestimate values for a large dataset. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for data extraction. I will retrieve the Zestimate values accurately and populate them back into your Excel file. ➡️ Why Me? I can easily handle your project as I have 5 years of experience in web scraping and data extraction. My expertise includes data retrieval, Excel data manipulation, and accuracy checks. Additionally, I have a strong grip on Python scripting and API integration, ensuring a reliable approach to your project. ➡️ Let's have a quick chat to discuss your project in detail. I would love to show you samples of my previous work and demonstrate my skills. Looking forward to discussing this with you! ➡️ Skills & Experience: ✅ Web Scraping ✅ Data Extraction ✅ Python Scripting ✅ Excel Data Manipulation ✅ API Integration ✅ Data Accuracy Checks ✅ Error Handling ✅ Data Analysis ✅ Script Optimization ✅ Database Management ✅ VBA Solutions ✅ Project Management Waiting for your response! Best Regards, Zohaib

@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

@saqibmunir55

I’ve carefully read your full requirements and completed the 50-address sample with accurate Zestimate data. Due to the nature of Zillow scraping (anti-bot protections, dynamic content), I used a robust Python-based solution (Playwright + smart request handling + rate limiting) to ensure reliability and accuracy at scale. What I can guarantee for the full project: Accurate Zestimate extraction for 100k+ addresses Stable scraping approach that avoids blocking Clean Excel output mapped correctly to your dataset Deduplication and error handling for missing listings Scalable automation for future runs The sample is ready for your review. Please contact me in chat, and I’ll share the completed file immediately. Looking forward to working with you on this. Best regards

@salmaakternisa

Hi, I’ve completed similar large-scale Zillow scraping projects and can accurately extract Zestimate values for 100K+ properties with high reliability. I’ll process your 50-sample file first and return clean, verified results to demonstrate accuracy before scaling. I use advanced scraping methods to handle Zillow restrictions and ensure consistent data delivery. Ready to start immediately and deliver structured, error-free Excel output.

@asifdwan

As an accomplished web scraping specialist, my expertise in extracting Terrabytes of data from thousands of websites amply qualifies me for your Zillow Zestimate Scraper Automation project. The noticeable aspect of my competence is the ability to deal with complex and protected websites like Zillow. I have mastered multiple programming languages/frameworks such as Python (Selenium, BeautifulSoup, Scrapy, and Requests) which will be used to scrape, extract and produce clean, structured and accurate historical property values. In terms of scale, I have dealt with numerous large datasets during my career span, meaning I understand the importance of accuracy as well as timeliness in handling expansive records. I can confidently assure you of reliable data extraction for your property value analysis project. My experience with platforms such as CSV/JSON/XML should be particularly beneficial during the process while ensuring an efficient output in a format that works best for you including Excel spreadsheets.

@onlinejob247

As-salamu alaykum! Thank you for considering me for this intricate project. With 15 years of extensive experience as a data management specialist and a seasoned web scraper, I am confident in my ability to deliver accurate and reliable results when it comes to extracting critical information from sources like Zillow, even at scale. One important skill I bring to the table is my mastery of various web scraping tools such as Selenium, BeautifulSoup, Scrapy, and Requests using Python. This is accompanied by my expertise in Excel and data processing. Combining these proficiencies has helped me automate similar projects in the past, saving time, increasing efficiency, and ensuring high-quality results - precisely what your dataset necessitates. My 100% client satisfaction record over the years is proof of my commitment to accuracy and confidentiality. Not only can you expect consistent availability and quick response time from me; but also professionalism, trustworthiness, and exceptional adherence to deadlines. I have already completed sample records for your perusal which showcases my capabilities. Let's connect further so we can discuss your needs meticulously and proceed towards a successful project completion together. Jazakallah Khair!

@ShaikhAneesa

Hello, I have thoroughly analyzed your project requirements for the Zillow Zestimate Scraper Automation project. I understand that you have a large dataset of property addresses that require Zillow "Zestimate" values to be scraped and populated back into an Excel spreadsheet. Let's chat and discuss it further. To handle your project, I will start with developing a custom web scraper using Python and BeautifulSoup to extract Zestimate values for each address provided in the Excel spreadsheet. I will ensure the accuracy and reliability of the data extracted by implementing robust error handling mechanisms. The deliverables for this project include a fully automated Zillow Zestimate scraper that can process thousands of records efficiently and accurately. Before signing-off my bid, I would like to ask a question, i.e., "Have you considered the frequency of updates required for the Zestimate values in the Excel file?" Best Regards, Aneesa.

@Herculesz

Hi I have experience building large-scale data extraction pipelines, but with platforms like Zillow the main technical challenge is that the Zestimate is not reliably accessible via simple scraping due to dynamic rendering, anti-bot protection, and request throttling. A direct VBA or basic scraper usually fails because of blocked requests, inconsistent HTML, or missing data from search pages. I would solve this by using a controlled browser-based extraction layer (headless automation), combined with address normalization, retry logic, rate limiting, and structured parsing to ensure accuracy and stability across large datasets. The workflow would read your Excel file, process each address safely, extract the Zestimate from the property page, and write clean results back to the dataset. I work with Python, Selenium/Playwright, data pipelines, Excel/CSV processing, and scalable scraping architectures with logging, error handling, and validation layers. For reliability, I would also include checks for missing or ambiguous addresses and ensure the extracted values match the correct property before saving. The sample of 50 addresses is a good approach, and I can use it to validate accuracy, performance, and edge cases before scaling to the full dataset. My focus would be on consistent results and a pipeline that can handle thousands of records without breaking. Thanks, Hercules

@brashel

Hello, I will extract accurate Zillow Zestimates at scale using a robust scraping setup and return clean Excel data. I can process your 50-sample first for validation. Best regards, Siddiqur Rahman.

@softsolution2000

I have extensive experience in web scraping and data extraction at scale using Python. I understand your requirement to scrape Zillow Zestimate values for a large dataset of property addresses. I can efficiently retrieve the Zestimate for each address and populate it back into the Excel file accurately. I have already processed the sample file of 50 addresses and can ensure reliable results for the full project. Let's discuss the project scope further to adjust the budget if needed. Please review my profile for my 15 years of experience and let's get started on this project.

@hassannaweed4

DO YOU HAVE ACCESS TO THE API? Evening! I'm Hassan, a skilled software engineer known for my passion in blending functionality and visual appeal into seamless user experiences. Having read through your project description, I understand that accuracy and scalability are crucial here -- two things that have always been at the core of my work. With my extensive experience in Big Data and Python, I have completed various web scraping projects at scale - and yours would be no exception. My proficiency in Python lends itself perfectly to this task. I am well versed in retrieving specific data from websites, making your large dataset of property addresses well within my repertoire. I've used similar techniques with other insightful real estate platforms, aiding the extraction of valuable information like you need with Zillow's "Zestimate". You'll find that my skills in automation are fantastic for handling datasets such as yours; my goal is to make repetitive manual tasks redundant. One thing I'd like to discuss is whether there's access to the Zillow API. It could help streamline the process and ensure ongoing impeccable data delivery. Nonetheless, even if we don't have access to an API, I can still guarantee a reliable and efficient solution for you.

@DedicatedVA

This is exactly what we specialize in, and we can efficiently build a scalable, automated data extraction pipeline to retrieve Zestimate values from Zillow and map them back into your Excel dataset with high accuracy. We typically use Python-based scraping frameworks, headless browser automation (Playwright/Selenium), and resilient architecture with proxy rotation, rate-limit handling, and retry logic to ensure stable extraction at 100K+ scale. We will begin with a proof-of-concept on your 50-record sample to validate parsing accuracy, address resolution, and data consistency before scaling into a full production-ready workflow that outputs cleanly back into Excel/CSV. Can you share the sample file so we can review the structure and start the POC right away?

@juanjosec63

Hi, I have strong experience with Python, Excel data processing, large-scale web scraping, and automation workflows, including building reliable extraction pipelines with proxy handling, retry logic, structured parsing, and output validation for high-volume datasets. I have real hands-on experience with large address-based data extraction projects, and for this I would start with the 50-record proof of concept, validate matching accuracy carefully, and then structure the full workflow so each address is processed consistently and the returned Zestimate data is written back into the correct Excel rows with clear error handling for misses or ambiguous matches. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan

@Aman2030

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@jushuamurillo98

Hello, I’ve carefully reviewed your project and am excited about the opportunity to work with you. With 6 years of experience in web scraping, automation and large scale data extraction, I specialize in delivering accurate property data pipelines. I am confident I can solve your Zillow Zestimate scraping challenge efficiently and effectively. Here’s my approach: Build a stable scraping workflow using Python automation that navigates Zillow results reliably. Integrate data extraction with your Excel structure to return clean Zestimate values aligned to each row. I am available to start immediately and aim to deliver your 50 sample records within one day. Additional instructions or notes optional: I will ensure accuracy checks for each record. I will prepare the script to scale for 150000 addresses. Best regards, Jushua

@usmanbashir12100

Hi, I understand the requirement and the importance of accuracy at this scale. I have experience scraping structured data from dynamic websites and handling large datasets efficiently. I will process your 50-address sample first by extracting accurate Zestimate values and returning a clean, verified Excel file. My approach uses Python (Selenium/Playwright) with proper handling for dynamic content, rate limiting, and anti-bot measures to ensure reliability. Once the sample is approved, I can scale the solution to handle 100k+ records with consistent accuracy and logging. I’m ready to start on the sample immediately.

@mobimubasir

Hello, I have experience with large-scale web scraping and Zillow data extraction, and I can process your sample 50 addresses first to demonstrate accuracy and reliability before scaling to the full dataset. I’ll use a robust, anti-blocking scraping approach with validation checks to ensure consistent Zestimate data mapped correctly back into your Excel file.

@muneeb6767

I can extract accurate Zestimate values for your sample 50 addresses using a scalable scraping setup, then handle the full dataset with high reliability and clean Excel output.