Web Scraping & Alert System Engineer — Nationwide Property Auction Intelligence Platform (Ongoing)

@Microlent

Hello, I read your full description this is clearly an intelligence system, not just scraping, and the key challenge is the filtering + scoring pipeline rather than collecting raw listings. I would structure this in 3 layers: Data ingestion: scalable crawlers (Scrapy/Playwright) for platforms like Realauction, Bid4Assets, Hubzu etc., with proxy rotation and CAPTCHA handling. Normalization & deduplication: merge listings using address + parcel/APN so the same property across platforms becomes one record. Scoring & alerts: integrate ATTOM API to estimate value, calculate discount %, then rank properties (1–100) and trigger RED/HIGH/WATCH alerts via webhook + email. For Realauction’s 500+ county subdomains, I’d build a configurable crawler so new counties can be added easily without new code. Happy to outline a Phase-1 plan starting with Realauction + scoring engine. Best, Jenifer

@ZohaibRoy

⭐⭐⭐⭐⭐ Build Intelligent Property Auction Scraping & Alert System ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a developer to create a property auction scraping and alert system. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for real estate data scraping. We will build a smart system that efficiently filters and alerts you about qualified deals, ensuring you never miss an opportunity. ➡️ Why Me? I can easily do your property auction scraping and alert system as I have 5 years of experience in web scraping, data analysis, and alert system development. My expertise includes Python, JavaScript, and API integration. Besides, I have a strong grip on anti-bot handling and PDF parsing, ensuring the system is robust and reliable. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I'm excited to help you build this system! ➡️ Skills & Experience: ✅ Python (Scrapy, BeautifulSoup, Selenium) ✅ JavaScript (Puppeteer, Playwright) ✅ API Integration ✅ Data Scraping ✅ Alert System Development ✅ PDF Parsing & OCR ✅ Error Handling ✅ Email Automation ✅ Database Management ✅ Scheduling & Orchestration ✅ Data Analysis ✅ Proactive Communication Waiting for your response! Best Regards, Zohaib

@neerajdhameliya

Hello, How I'd approach Realauction's 500+ subdomains: I'd build a modular Scrapy spider using a configurable list of county URLs stored in Supabase or JSON. A base scraper handles shared login/listing logic, with county-specific overrides only when needed. Adding counties becomes a simple config update, not new code. I've used this pattern on multi-subdomain auction networks before. I prefer Python/Scrapy for speed and reliability, with Playwright for dynamic pages and Airflow/cron for scheduling. Your challenge isn't data scarcity but noise, so I'd build a modular pipeline where each county/platform acts as a sensor feeding a scoring engine that surfaces only the top opportunities. Looking forward to your reply! Best, Niral

@gunslinger

Hi, Your description makes it clear this isn’t just a scraping project but a signal system that filters thousands of listings and surfaces only the best deals. That’s exactly how I approach these builds. I would structure this as two layers: 1. Data ingestion (scraping engine) Python-based crawlers collect data from sources like RealAuction, Bid4Assets, Hubzu, etc., normalize the fields, and push results into a central pipeline. For RealAuction’s 500+ county subdomains, I’d use a template-driven crawler where each county is just a config file (selectors/endpoints), so adding new counties is trivial. 2. Filter / scoring / alert system Each listing is scored based on criteria such as discount vs assessed value, lien position, property type, county growth metrics, and risk flags. Instead of sending thousands of records, the system ranks deals and only surfaces the top 10–20 opportunities. Alerts can trigger via Slack/email when listings exceed the scoring threshold. Tech stack I typically use: Python, Scrapy, Playwright/Selenium (when needed), Elasticsearch/Postgres for filtering, queue-based processing, and proxy rotation for anti-bot protection. Availability: 20–40 hrs/week Rate: $25/hr Happy to start with the RealAuction ingestion + scoring layer and expand from there.

@OutsourceMan

As an experienced web and app developer with over 18 years in the industry, my team at CnELIndia is eager to take on your complex web scraping and intelligent alert system project. We have successfully tackled a multitude of similar data ingestion and complex filter system challenges in the past, making us the perfect fit to build your property auction intelligence platform. With a strong affinity for Python, Scrapy and an expertise in data parsing, we're well-equipped to handle the intricacies of scraping individual county websites while ensuring data integrity through quality OCR analysis when necessary. Our proven ability to deliver high-quality results within stringent timelines ensures you'll have a reliable partner with us as you grow your real estate investment firm. In light of your investment criteria requirements, our services extend beyond data scraping. We're well-versed in identifying key metrics and designing intelligent scoring systems that tailor to specific business objectives. We are excited at the prospect of partnering with your company for a long-term engagement. Our commitment is not just centred around building this software, but also maintaining it through regular updates, deduplication checks and analytical reports. Your trust is precious to us; handing over this sophisticated project to CnELIndia would not only give you reliable software today but bestow peace of mind for tomorrow's growth.

@dvcontact

Hello Sir, Imagine having access to a custom-built demo of your ideal property auction alert system before making any commitment to engage with me. By leveraging my expertise in web scraping and intelligent alert systems, I will develop a tailored solution that precisely filters distressed properties to match your investment criteria, allowing you to seize opportunities ahead of the competition. Let’s discuss how I can turn this vision into reality, with a detailed plan and the demo to showcase initial capabilities. Regards, Smith

@divumanocha

Hello, Thank you so much for posting this opportunity. It sounds like a great fit, and I’d love to be part of it! I’ve worked on similar projects before, and I’m confident I can bring real value to your project. I’m passionate about what I do and always aim to deliver work that’s not only high-quality but also makes things easier and smoother for my clients. Feel free to take a quick look at my profile to see some of the work I’ve done in the past. If it feels like a good match, I’d be happy to chat further about your project and how I can help bring it to life. I’m available to get started right away and will give this project my full attention from day one. Let’s connect and see how we can make this a success together! Looking forward to hearing from you soon. With Regards!

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Python, Data Processing, Web Scraping, Software Architecture, Elasticsearch, Scrapy, BeautifulSoup, Selenium, Database Management, API Integration and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@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

@hireageek

Hi there, I’m excited about the opportunity to partner with you on your Nationwide Property Auction Intelligence Platform. As a top freelancer from California with extensive experience in data ingestion and alert systems, I've successfully developed robust web scraping solutions tailored for real estate and government auction sites, earning a solid reputation with 5-star reviews. I truly understand the challenge of automating the monitoring of fragmented auction sources across the nation and filtering them to meet your specific investment criteria. My approach will leverage Python and advanced scraping techniques to build a highly efficient Data Ingestion Engine that includes robust filtering and scoring systems. This will ensure you only receive alerts for properties that meet your strict criteria, allowing your team to quickly focus on high-potential opportunities. I look forward to working incrementally with you as your needs grow, starting with the major platforms and evolving to cover federal and county-level auctions. Please message me right away so we can discuss your goals further and outline a timeline for our collaboration. What specific features do you envision for the alert system to ensure it meets your team's workflow?

@Feriver

Hello, I understand you’re building a nationwide property‑auction intelligence system that prioritizes qualified opportunities instead of raw data dumps. I can design a scalable scraping and alert architecture using Python (Scrapy, Playwright, BeautifulSoup) that ingests listings from major auction platforms, federal sources, and county sites while handling CAPTCHAs, proxies, and fragile page structures. The core system will include a structured ingestion pipeline feeding a processing layer that enriches listings using the ATTOM Data API and assessor data. A scoring engine will calculate discount‑to‑value, property type match, deal size, location strength, and auction timing to assign a 1–100 score. Deduplication using address and parcel ID ensures a single unified record even when multiple sources list the same property. Qualified deals will trigger automated alerts: RED (instant email + webhook), HIGH PRIORITY (daily summary), and WATCHLIST (weekly report). Data will be pushed to your Supabase REST API as structured JSON, with HTML email alerts via SendGrid/SES. The system will include health monitoring so scraper failures generate alerts immediately. Thanks, Asif

@DeveloperStation

Hi there, We’ve built similar systems for real estate clients, where we scraped multiple sources and filtered data to send daily alerts. We understand that raw data isn’t useful without a robust filtering mechanism to surface only the most relevant opportunities. For this project, we’d recommend using a dedicated scraping framework like Scrapy instead of general-purpose tools like Puppeteer. This approach allows us to create modular, reusable scraping components that can be easily adapted for new sources, saving time and effort in the long run. We also have extensive experience with email automation, including HTML-formatted alerts, and have integrated multiple email services such as SendGrid and AWS SES. Let’s schedule a 10-minute introductory call to discuss your project in more detail and ensure I’m the right fit for your needs. Feel free to message me anytime—I usually respond within 10 minutes. I’m eager to learn more about your exciting project. Best, Adil

@mubeenm5026

As the CEO of Web Crest, I have successfully led my dedicated team over the last decade to deliver innovative solutions that seamlessly blend AI automation and practical business implementation, which aligns perfectly with your project. Transforming your manual search process into a sophisticated, efficient nationwide property auction intelligence platform requires a deep understanding of complex web scraping techniques and data manipulation. I assure you the skills I bring are perfectly tailored for this project. Our team's mastery in Python, considered the gold standard for web scraping projects, will enable us to not just streamline your data ingestion from various sources but refine the outputs into meaningful information specific to your investment criteria. What sets us apart is our commitment to using intelligent algorithms to filter and score each property meticulously based on factors like current market values, location and competition level, boosting your efficiency in honing on potentially profitable deals. Moreover, as a team that believes in forming long-term partnerships rather than fleeting projects, we ensure every solution we build is scalable and adaptable. Just as you envision an incremental growth of your platform, we have the capacity not only to execute complex crawls but also provide ongoing support to expand and modify crawlers for future county auctions.

@pvsysgroupinc

I understand the web scraping and intelligent alert system you're seeking is a complex, wide-ranging integration of data-gathering, filtering, and notification. With 16+ years of experience in technology and data management, I have the proficient skills in Python that your project requires to deliver this valuable automation. I have built similar custom scrapers using Selenium, Mechanize, BeautifulSoup among others — which aligns with your needs for different foreclosure sales websites like Realauction.com. Grant Street Group. Moreover, I have vast experience in developing robust Data Analysis systems that will ensure the efficient collection, filtering, processing, and analysis of property data to meet your stringent criteria and provide highly actionable insights for your business. Furthermore, the volume and diversity of data you require to be scraped and filtered necessitates a thoughtful approach to avoid duplication. My expertise ensures that property listings appearing on multiple platforms are automatically identified and deduplicated. I use a combination of techniques such as fuzzy matching algorithms, unique identifiers, and timestamps to achieve an effective deduplication system. In summary, my profound commitment to my clients' satisfaction coupled with my wide skill set in various technologies make me uniquely suited to lead this ongoing project for your real estate investment firm diligently.\

@juanjosec63

Hello, I’m excited about the opportunity to contribute to your project. With my expertise in large-scale web scraping, data processing pipelines, and intelligent filtering systems, I can build a reliable ingestion engine and scoring layer that scans fragmented auction sources and surfaces only the highest-quality opportunities that match your investment criteria. I’ll tailor the architecture to handle multi-source scraping, valuation lookups, deduplication, and a scoring pipeline that ranks listings and delivers clean alerts through your Supabase API and email system. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan

@FaizalShaik80

Hello, hope you are well. I have reviewed your project and noticed that it is very similar to a task I completed two months ago. I am an experienced and specialized freelancer with 6+ years of practical experience in Python, Web Scraping and I’m able to complete and deliver this project promptly. Feel free to visit my profile to check latest work and feedback from clients. Connect in chat to discuss details and next steps. Talk soon.

@emilesd617

Hi, I am a full-stack AI developer with 8 years of rich experience. I am familiar with Python, Scrapy, Selenium, BeautifulSoup, Supabase API. For this project, the most important issue is building a stable scraping pipeline and a smart filtering system that only alerts qualified deals. I can build scalable scrapers for auction platforms, process the data with scoring logic, and send filtered alerts through API and email automation. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@ska234

Hi, this project aligns well with my experience building large-scale scraping and monitoring systems. I previously built auction scraping and automation for platforms like Catawiki, focusing on collecting structured data and turning it into actionable alerts rather than raw datasets. For scraping, I would use Python with Scrapy for scalable crawlers and Playwright for dynamic sites. Each platform would run as a modular collector that outputs normalized JSON to your Supabase API. For Realauction’s 500+ county subdomains, I would build one configurable spider that reads county subdomains from a configuration list, so adding a new county requires no new code. For the intelligence layer, I would implement a processing pipeline that enriches listings using the ATTOM API, calculates value vs opening bid spread, and scores each property based on discount, property type match, deal size, location, and auction timing. A scoring engine ranks listings daily and surfaces only the top opportunities, automatically triggering RED ALERT, HIGH PRIORITY, or WATCHLIST notifications. To handle scale, I use proxy rotation, retry logic, and CAPTCHA solving along with monitoring that alerts when scrapers break. I’m available 30–40 hours per week and can start with the Realauction ingestion and scoring pipeline so the system begins producing qualified opportunities quickly.

@DigitaSyndicate

Nationwide data scraping projects carry the hidden danger of incomplete coverage and data inconsistency that can undermine your entire alert system. Your core technical requirement is a resilient Python and JavaScript stack integrating Scrapy, Puppeteer, and ATTOM Data API, while intelligently filtering millions of raw auction records to generate actionable, high-confidence alerts. At DigitaSyndicate, a UK-based agency, we don’t just write code; we architect infrastructure to protect your investment. Our local accountability ensures transparency and rapid response to scraper failures and data integrity threats, essential when monitoring 3,000-plus volatile sources. Our approach balances robust OCR and anti-bot tactics with modular designs for scalability and maintainability, ensuring your scoring system remains accurate and timely. Have you accounted for how the alert system will adapt to structural website changes across hundreds of counties without human intervention to avoid silent failures? Casper M. | DigitaSyndicate