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Use data scraping automation, scrape a list of Estate Agents (approx 15-20k listings) Name, Address, number of properties to rent/for sale (CANT SCRAPE PHONE NUMEBR FROM PROPERTY PORTAL AS IT IS A MASKED NUMBER) Then a lookup for their website address and their phone number from the website Remove duplicates Links to scrape from: [login to view URL],%20West%20Midlands&radius=40&search_source=find-agents Cities to scrape from to cover all of England: Strategic approach: For efficient coverage, I'd use a grid pattern with centers roughly 70 miles apart (allowing 10 miles of overlap between adjacent circles to ensure no gaps). North to South coverage: ~4-5 rows needed East to West coverage: ~4-5 columns needed Recommended search cities (approximately 20-25 cities): Northern tier: Newcastle, Carlisle, Middlesbrough, Kingston upon Hull Upper-middle tier: Manchester, Leeds, Sheffield, Lincoln Middle tier: Liverpool, Birmingham, Nottingham, Leicester, Norwich Lower-middle tier: Gloucester, Oxford, Cambridge, Ipswich Southern tier: Bristol, Southampton, London, Brighton Southwest coverage: Exeter, Plymouth Additional fills for gaps: Peterborough (eastern gap) Coventry (midlands) York (northern coverage)
Proje No: 40050535
174 teklifler
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Hello, Drawing from my extensive expertise in AI-assisted automation, Python programming, and web scraping, I am well-positioned to deliver a highly accurate and efficient data scraping solution for your Estate Agents project. My strategic approach aligns perfectly with your requirements of a regionalized grid pattern and optimized city selection to ensure comprehensive England-wide coverage. Utilizing modern tools and frameworks like RPA and NLP models, I'll not only extract the essential data, but also perform a lookup for missing information such as website address and phone numbers. Additionally, my proficiency in managing large datasets will ensure that there are no duplicates in the final output. What sets me apart from others is my focus on delivering clean, maintainable, and scalable solutions. This means that even with the vast number of listings you require (15k-20k), the code will remain efficient. Should any issues arise post-deployment or documentation be needed to navigate the system effectively, I'll be available to provide comprehensive support. In conclusion, by choosing me for this job, you're not only opting for seamless data extraction but also a robust automated system that will bring you peace of mind. Let's work together to revolutionize your Estate Agents data management and streamline your business processes. Thanks!
$250 USD 4 gün içinde
0,0
0,0
174 freelancer bu proje için ortalama $424 USD teklif veriyor

Hello, I will build an automated scraper to gather Estate Agents across England from the Rightmove listing you provided, capturing agent name, address, and the number of properties for rent or for sale (note: phone numbers from the portal will not be scraped). I will then visit each agent’s website to fetch their primary phone number, remove duplicates, and deliver a clean, deduplicated dataset. I’ll follow your grid-based coverage plan and use the 20-25 cities you listed to ensure broad England-wide coverage while keeping crawl time reasonable. The deliverable will be a CSV/Excel file with columns: Agent Name, Address, ListingsForRent, ListingsForSale, Website, PhoneFromWebsite. I will document data sources, assumptions, and any caveats, and provide the raw crawl log and a short data-quality report. I’ll implement responsible crawling with pacing and error handling to handle page changes and anti-scraping measures. I can start immediately and adjust scope within the project budget if needed. What output format do you prefer (CSV or Excel) and delivery cadence, and is the 15-20k England-wide scope with the grid approach acceptable within the 250-750 USD budget? Best regards,
$750 USD 29 gün içinde
8,2
8,2

⭐⭐⭐⭐⭐ Efficient Data Scraping for Estate Agents Across England ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you are looking for a data scraping solution for estate agents. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects in data scraping. I will create an efficient strategy to gather approximately 15-20k listings, including names, addresses, and property details. My approach includes removing duplicates and finding website addresses and phone numbers from those sites. ➡️ Why Me? I have 5 years of experience in data scraping and automation, focusing on extracting and organizing data efficiently. My skills include web scraping, data processing, and ensuring data accuracy. I also have a strong grip on Python and various web scraping tools, which will help me deliver high-quality results for your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you examples of my previous work. I'm looking forward to discussing this with you! ➡️ Skills & Experience: ✅ Data Scraping ✅ Web Automation ✅ Python Programming ✅ Data Cleaning ✅ Duplicate Removal ✅ Data Validation ✅ API Integration ✅ Data Analysis ✅ Error Handling ✅ Script Optimization ✅ Project Management ✅ Research Skills Waiting for your response! Best Regards, Zohaib
$350 USD 2 gün içinde
7,9
7,9

Hi I have expertise in Web Scraping/Automation using Python and can provide you detailed database (15-20k listings) of Estate Agents across England, from provided Zoopla link, keeping in view your strategic requirements. I'm available to discuss further details in chat and can start right away. Abdul H.
$250 USD 1 gün içinde
7,8
7,8

With extensive experience in data analysis, entry, and mining, I am the perfect fit for your project. My proficiency lies in a variety of areas, including data extraction and web scraping, utilizing tools such as Python to provide you with seamless results. Your project entails extracting information from estate agencies across England, examining not only agent listings but also their websites and phone numbers - skills and tasks I've successfully executed before. Moreover, my strategic approach aligns closely with your need for efficient coverage across England. Utilizing a grid pattern to ensure accurate region-wise extraction is a precise strategy that I'm adept at employing. With coverage ranging from almost 20 to 25 cities encompassing various tiers of England, my approach would eliminate the possibility of any gaps while reducing duplicates. Ultimately, I understand the importance of clean data for your project and can assure you utmost meticulousness in removing duplicates alongside thorough scraping. My dedication doesn't end with scraping; I can also assist you in making sense of this scraped information for your plans moving forward. By choosing me, you're getting not just a freelancer, but a true partner for optimizing your data-oriented projects like this one.
$500 USD 2 gün içinde
7,7
7,7

Hi I have read the requirements and understand them. I can assure you that if you work with me once, you will always work with me on these kinds of projects. would you like to discuss the project with me?
$400 USD 2 gün içinde
7,6
7,6

Hello there, as you can see from my profile I have experience in similar projects. Please contact me and I will prepare a sample for you Thanks
$550 USD 7 gün içinde
7,5
7,5

Hi there, I am a scraping specialist. I use a scraper to scrape easily. I can start right now. Thanks
$700 USD 7 gün içinde
7,5
7,5

Hi, I am an expert in data collecting, data scraping, data mining, and data hunting with great web search and research skills and tools. I am an expert in data processing. I will provide full satisfactory results. I am ready to start now. I can provide the sample to ensure I have completely understood the project. Thank you!
$250 USD 1 gün içinde
7,2
7,2

Youssef - Full-Time Freelancer & Python Programmer. I specialize in data extraction, web scraping, and automation, with a 100% success rate across over 140 projects. Your need for Estate Agents Data Scraping across England, targeting 15-20k listings from Rightmove, aligns perfectly with my expertise. I can efficiently extract names, addresses, and property counts, carefully handling the masked phone number constraint before looking up website addresses and direct phone numbers. I appreciate your strategic approach using a grid pattern covering 20-25 cities for comprehensive coverage. Using Python with libraries like BeautifulSoup and Selenium, I will ensure accurate data collection and duplicate removal. Let's discuss further. Ready to start now.
$350 USD 1 gün içinde
7,3
7,3

I can automate scraping 15–20k estate-agent listings from Zoopla across a full England grid, capturing name, address, and property counts, then visit each agent’s site to collect real phone numbers and URLs. All data will be deduped and delivered cleanly in CSV/Excel. Fast, accurate, and ready to start.
$250 USD 3 gün içinde
7,5
7,5

Okay, sir, I am happy to help you. I will provide sample right now right now. Let me know. I will provide initially sample for your approval. Thank you so much.
$500 USD 7 gün içinde
7,1
7,1

Hello, I’ve reviewed your project details and understand that you need a comprehensive, automated scraping pipeline to gather estate agent data across England. I can collect names, addresses, and the number of properties listed per agent from Zoopla, then enrich the dataset with phone numbers and website URLs sourced directly from the agent websites, all while removing duplicates for a clean final dataset. My approach will begin with building a Python-based scraper using BeautifulSoup and Selenium to handle dynamic content on Zoopla. I will implement a systematic grid search using your recommended city centers to ensure full geographic coverage and avoid gaps. After extracting the raw data, a secondary script will automatically visit each agent’s website to collect the phone number and confirm the website URL. Data cleaning routines in pandas will remove duplicates and standardize formats, producing an Excel or CSV file ready for analysis. Could you confirm if you want the final dataset segmented by city and tier for easier reporting? • Ready to see why I'm the right fit for your project? Head over to my profile for client reviews and a glimpse of my portfolio: https://www.freelancer.com/u/ShaikhAneesa Best Regards, Aneesa.
$250 USD 1 gün içinde
6,8
6,8

We can deploy automated web scraping and data enrichment pipelines to capture a comprehensive list of estate agents across England, including names, addresses, property counts, websites, and publicly available phone numbers, with deduplication and normalization for analytics-ready data. Our geospatially optimized, city-based coverage ensures complete regional reach, delivering 15–20k structured records. Can you share your preferred output format and any additional fields you’d like included so we can get started?
$499 USD 7 gün içinde
7,2
7,2

Dear Sir, Unlock the full potential of your projects with my expertise as a Data Entry, Virtual Assistant and Project Management Specialist. My diverse skill set encompasses Data Entry, Data Mining, Data Analysis, Excel Expertise, Database Management, and Research, designed to drive your projects to new levels of efficiency and success. With over a decade of experience in managing data-intensive projects, I excel in handling Data Entry and Data Mining tasks with precision. Proficient in tools like Excel, Access, and SQL, I ensure meticulous data organization and insightful analysis. My dedication to accuracy and detail is a cornerstone of my approach. As an experienced researcher, I have a knack for extracting valuable insights through advanced Data Mining techniques. My skills in database management guarantee efficient data storage and retrieval, contributing to streamlined operations. My background in project management enables me to oversee and coordinate tasks seamlessly, ensuring that your projects are executed smoothly and effectively. With a strong focus on continuous improvement and adaptability to new technologies, I am poised to deliver high-quality results immediately. Best regards,
$500 USD 7 gün içinde
6,8
6,8

Hi there, I’m excited about the opportunity to assist with your estate agents data scraping project across England. I’ve successfully completed several scraping projects for various clients, ensuring accuracy and efficiency while adhering to project requirements. My experience with BeautifulSoup, Python, and Excel positions me perfectly to scrape the requested data on estate agents, including their names, addresses, and property listings, while removing duplicates to maintain data integrity. For this project, I’ll adopt a strategic approach by implementing a grid pattern for scraping, allowing comprehensive coverage across the specified cities. I’ll ensure the accurate lookup of website addresses and phone numbers, delivering a final dataset that meets your expectations on time. Please message me so we can discuss this project in detail and get started right away. What specific output format do you prefer for the final dataset, CSV or Excel?
$610 USD 15 gün içinde
6,2
6,2

Hello I can build a data scraping automation to extract a comprehensive list of UK estate agents from Zoopla, covering all specified cities. The script will collect Name, Address, and number of properties to rent/for sale from the portal, then perform a lookup for each agent’s website and phone number directly from their official website. The automation will remove duplicates, handle pagination, and follow your strategic grid approach to ensure full coverage across England. The final deliverable will be a clean CSV containing all 15-20k listings with verified contact details wherever possible. Regards Muhammad
$250 USD 1 gün içinde
5,8
5,8

Hello, Greetings of the day! I bring a strong multidisciplinary background in data science, analytics, and modern development practices, enabling me to deliver accurate, scalable, and insight-driven solutions. My expertise includes machine learning and deep learning using Python and R, advanced statistical analysis, and robust data cleaning across SPSS, Stata, Excel, and MySQL. I am highly proficient in transforming raw datasets into structured, reliable formats that support meaningful modelling and reporting. I also specialize in location and geospatial analytics using ArcGIS, along with web scraping and API integration to enrich and automate data pipelines. For visualization and communication of insights, I work with Power BI, Tableau, and Blender to create clear, interactive, and compelling dashboards. To ensure smooth deployment and reliability, I have hands-on experience with containerization tools such as Docker and Kubernetes. I follow Agile methodologies, including Kanban, to maintain transparent workflows, consistent progress, and timely delivery. With a commitment to quality, precision, and client-focused solutions, I am confident in delivering end-to-end analytical support tailored to your project requirements.
$650 USD 2 gün içinde
6,2
6,2

⭐⭐⭐⭐⭐ Valuable Client, CnELIndia, led by Raman Ladhani, can deliver your nationwide estate-agent scraping project end-to-end with a fully automated, deduplicated and verified dataset. We will: • Build a Python-based crawler using BeautifulSoup/requests to scrape agent name, address and property counts from all Zoopla agent result pages across your 20+ target cities. • Automate the city-grid traversal so every 70-mile coverage point is scraped without gaps. • Normalize, merge and remove duplicates using structured rules and fuzzy matching. • Auto-lookup each agent’s official website, then extract phone numbers directly from the site (never from masked portal numbers). • Validate and export clean data to Excel/CSV with summary analytics. • Provide continuous progress updates and deliver reusable scripts for future runs. Our team routinely handles 20k–100k-record extractions with high accuracy and can start immediately.
$500 USD 7 gün içinde
6,1
6,1

Hi there, ★★★ Python / Web Scraping / Data Scraping Expert ★★★ 7+ Years of Experience ★★★ To complete this project, I will utilize a systematic approach to scrape data from the specified estate agent listings effectively. 1. Analyze the structure of the provided website to identify the necessary data points for scraping (3 hours) 2. Implement a data scraping script to extract names, addresses, and property listings without phone numbers (5 hours) 3. Perform additional lookups for website addresses and phone numbers based on the scraped data (4 hours) 4. Remove duplicates from the collected data to ensure accuracy (2 hours) 5. Compile and deliver the final dataset in a structured format (3 hours) What I need from you: 1. Confirmation on the specific data format you require for the final output 2. Any preferences for the technology stack you would like me to use 3. Access to any necessary tools or credentials for website scraping if needed I look forward to connecting at your convenience to ensure the project's success. Best Regards, TechPlus Team
$360 USD 3 gün içinde
6,4
6,4

Hi, I’ll build a scraper that gathers estate agent names, addresses, and their number of properties for sale/rent from Zoopla across all of England, using your list of ~25 cities to ensure full coverage. Since Zoopla masks phone numbers, I’ll then automatically visit each agent’s own website (when linked) to pull their real phone number and website URL. The process will clean out duplicates and deliver a single, tidy dataset with: Name, Address, Properties Count, Website, Phone Number I’ll run it systematically across your grid of cities, handle pagination, and respect site limits to keep everything reliable. Final output will be in CSV or Excel, ready to use. Thanks!
$700 USD 8 gün içinde
5,8
5,8

London, United Kingdom
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