Scrape 15K Australian Records

@leelakalidas32

Hello Sir, I can pull 15,000 Australian contact records from your provided public URL using the supplied surname list, structured exactly as specified and delivered in a single error-free Excel file. The first 5,000 fully cleaned rows will be ready within 6 hours, with the remainder delivered on a rolling basis and checked to avoid duplicates, blanks, or malformed addresses.

@asifdwan

I can scrape and deliver 15,000 clean Australian contact records from your URL using Python (Requests/BS4, Selenium or Scrapy). All fields in plain text, deduped and validated. First 5,000 within 6 hours, then rolling delivery. Accuracy-focused with quick corrections after spot checks.

@b14d35

Hey, I have been working on web scraping fro over 5 years, let's discuss about the website you wanna scrape and get started.

@bktk

Hello there! I will scrape 15k austrailian record right now with software with 100% accuracy. I am offering a free sample before awarding the project. Can you please open a chat box to discuss the project in detail? I am 24/7 available for discussing the project. Sir, please check my profile link for your satisfaction and of my client reviews: https://www.freelancer.com/u/bktk Regards: Muhammad Bilal KTK

@zafarfarooq612

Hello, I’m an experienced data scraper with a strong track record delivering large, high-accuracy datasets from public-facing sources, and I can handle this Australian-only extraction cleanly and reliably. Using a structured Python workflow (requests/BeautifulSoup or Selenium where needed), I’ll pull the 15,000 records from your provided URL, guided by your surname list, and deliver a single Excel (.xlsx) file with all fields saved strictly as plain text—name, address line, city, state, and postcode—so it opens error-free in Microsoft Excel. I can deliver the first 5,000 fully cleaned rows within 6 hours, then continue on a rolling basis, with rigorous de-duplication and validation to avoid blanks or malformed addresses. I’m comfortable with spot checks and revisions, prioritize accuracy over shortcuts, and can move quickly to completion once the initial batch is approved. Regards, Zafar

@dwashil3000

just give me the url i will get done within 1 day time. I have done a similar project a week ago. I am sure you will give me more projects after this. I am interested to do this project too and ready to complete this within the timeline. Kindly check my profile to see all rating and reviews given by clients. Hoping to hear from you soon.

@chintu83

Hello there, I have done similar work earlier for my many client's with 100% satisfaction, INBOX ME FOR DETAILS, I can start your project right now with 100% accuracy and within time deadlines. I am happy to provide you a sample work. Please let me know. Thank you.

@rosscarter1011

Hi, I can scrape the full 15,000 Australian records from your provided URL and deliver them in a single, clean Excel file with the exact columns you specified. I’ll prioritize accuracy (deduplication, address consistency, plain-text formatting) and deliver the first 5,000 rows within 6 hours for approval, then complete the remainder in batches. I’ll use a reliable Python workflow (Scrapy or requests/BS4), guided by your surname list, with validation checks to avoid blanks or malformed records.

@munibs1

Hello, I understand you need 15,000 contact records pulled from a public-facing Australian website, with specific data fields and a focus on accuracy. Here’s how I can help: - Web Scraping Setup: I will use Python with requests, BeautifulSoup, or Scrapy to scrape the data from the provided URL efficiently. The dataset will include name, address, state, city, and postcode, saved as plain text. - Data Cleaning & Accuracy: I’ll ensure the data is thoroughly cleaned, with no duplicates, blanks, or malformed addresses, as accuracy is a top priority. Spot checks will be performed to ensure quality. - Delivery: I’ll deliver the first 5,000 records within 6 hours for your review. The remaining records will be delivered on a rolling basis, ensuring the full set of 15,000 is completed quickly and accurately. - Excel Output: The final dataset will be delivered in an Excel (.xlsx) file, opening error-free in Microsoft Excel, ready for use. - Efficient Workflow: I will work swiftly while ensuring the data meets your standards, so the project can be wrapped up as soon as the first batch passes review. With my experience in data scraping, cleaning, and processing, I’m confident I can deliver this project on time and with high accuracy. Let’s get started right away! Best regards, Munib S.

@isarimalikhan

Hi, I’ve reviewed your project and can help you get it done quickly and accurately. I’m Sarim Ali Khan, a top-rated freelancer specializing in data automation, analysis, and workflow optimization. My clients hire me because I deliver on time, on budget, and with zero guesswork. I can start right away and share a quick sample if you’d like. Let’s chat about the details and get you results — fast. Best, Sarim

@DorukDemirci

Hello, I am Doruk from Vantage1 team. Our python and excel knowledge is ready to become experiences. We have written many automations for our projects. We can effectively scrape the data you need with 0 mistakes. Let's discuss the details and start today.

@Ahmedyar547005

Hey , I just went through your job description and noticed you need someone skilled in Data Mining, Excel, Data Collection, Python, BeautifulSoup, Scrapy, Web Scraping and Data Scraping. That’s right up my alley. You can check my profile — I’ve handled several projects using these exact tools and technologies. Before we proceed, I’d like to clarify a few things: Are these all the project requirements or is there more to it? Do you already have any work done, or will this start from scratch? What’s your preferred deadline for completion? Why Work With Me? Over 180 successful projects completed. Long-term track record of happy clients and repeat work. I prioritize quality, deadlines, and clear communication. Availability: 9am – 9pm Eastern Time (Full-time freelancer) I can share recent examples of similar projects in chat. Let’s connect and discuss your vision in detail. Kind Regards, Zain Arshad

@mahrsaad211

Hello, thanks for this project. I’ve handled large-scale public web extractions using Python (Requests/BS4, Selenium, Scrapy) with strict accuracy requirements. I’ll scrape from the single provided URL using your surname list, structuring data exactly into name, address line, state, city, and postcode as plain text. The first 5,000 rows will be fully cleaned, deduplicated, and delivered within 6 hours, then continued on a rolling basis. I run validation checks for blanks, duplicates, and address consistency before exporting a single error-free Excel (.xlsx) file. Once the first batch passes review, I’m ready to complete the full scrape quickly and accurately. let’s get started.

@jesica46

Hello there, I have carefully read your project description and I’m confident that I can complete your Python project efficiently and professionally. I have strong experience in developing Python scripts for automation, data processing, and problem-solving. Here’s what you can expect from my work: ✅ Clean, optimized, and well-documented Python code ✅ Fast and reliable performance ✅ Regular updates during the project ✅ On-time delivery and unlimited revisions until you are satisfied I’m ready to start right away and can complete the task within your deadline. Please feel free to share more details about your project so I can tailor the solution perfectly for your needs. Looking forward to working with you! Best regards,

@workwithsubarna

Hello, I can accurately extract 15,000 Australian contact records from a single public URL using a reliable Python scraping workflow (Requests/BeautifulSoup or Selenium if needed). I’ll follow your surname list, ensure clean text-only fields, remove duplicates, and validate addresses. I can deliver the first 5,000 cleaned rows within 6 hours and continue on a rolling basis. Final delivery will be a single error-free Excel (.xlsx) file compatible with Microsoft Excel. Accuracy and review fixes are fully supported.

@RanaNadeemTahir

hi, i am ready to scrap the required data from public facing URLs and store them in am excel file. Please don't hesitate to contact so we can discuss before starting. thanks

@oleksandrp33

Hello, With utmost precision, I promise to deliver accurate results with zero duplicates, blanks or deficiencies in address information. As a Senior Development Team, we have honed our expertise in the domain of web scraping, Excel proficiency, and Python programming. This combination makes us perfectly equipped for your project of extracting 15,000 Australian data records. The fact that we have handled numerous complex projects like yours further underscores our ability to meet and exceed your expectations. Our strong adherence to clean architecture, rigorous quality checks and exceptional attention to detail makes sure you receive a high-quality output in the desired format - an area where we have a proven track record. Furthermore, I am committed to not just completing tasks on time but going above and beyond to ensure long-term working relationships; that's how invested we are in the success of your project. Prompt communication and regular updates will ensure you are kept abreast of the progress made throughout the project to guarantee maximum ퟛransparency. Put your trust in us, and let's kick-start this piece right away. Thanks!

@omkumarsingh1

Hello Sir, I have check your project details for Australian data scraping. I am very interested to do this work. I have good experience in Python scraping. I can give you the first 5,000 cleaned records within 6 hours. I promise this. I will make sure there are no duplicates or blank rows. I will check the data manually to ensure high accuracy. The Excel file will be in plain text format with Name, Address, City, State and Postcode, exactly as you asked. I will use the surname list you provide to run the search. I can handle the workflow easily. Once you approve the first batch, I will finish the remaining 10,000 records quickly. I am available to start immediately. Please share the URL and list. Waiting for your response. Thank you.

@masim43

I can handle this scrape cleanly and efficiently. I’ll build a Python-based workflow (requests/BeautifulSoup or Selenium where needed) with multithreading to keep it fast while prioritizing accuracy. I’ll deliver the first 5,000 fully cleaned Australian records within 6 hours, then roll out the remaining data smoothly after approval. All fields will be captured as plain text, deduplicated, and validated for address integrity, with the final output delivered as a single, error-free Excel (.xlsx) file ready for spot checks.