Scrape Australian IT Company Data

@hdlan

Hi, I am a highly experienced professional from Vietnam, specializing in data entry, LinkedIn, Apollo, and web research. I'd be happy to help you gather contact details for Australia--based IT companies and service providers. To showcase my capabilities, please refer to my similar projects here: https://www.freelancer.com/projects/internet-marketing/Get-contact-information-companies https://www.freelancer.com/projects/research/Online-Company-Research-31064800 https://www.freelancer.com/projects/data-entry/Get-contact-information-companies I am available online for the majority of the time and strive to respond to your messages promptly within a timeframe of 12-24 hours. How may I be of assistance in compiling the desired contact list for you? Best regards, Duong

@imraz2016

HI there already i have checked project details job is clear so please contact me then i will show you sample, thank you

@saqibmunir55

Hi, I can help you build a clean, comprehensive database of Australian IT companies with verified contact details and service summaries. I have 5+ years of experience in web scraping and lead generation using Python (Scrapy, BeautifulSoup, Selenium, Playwright). I’ve worked on similar projects extracting business data from directories, company websites, and map-based platforms while ensuring compliance with public data policies. **My approach:** * Source data from reliable platforms (Clutch, Yellow Pages AU, LinkedIn, Google Maps, company websites) * Extract: company name, website, email, phone, address, and services * Use automation + manual validation to ensure accuracy * Deduplicate and standardize all records * Deliver structured CSV/Excel with zero formatting issues **Data quality:** * Only publicly available & compliant sources * Emails and phones verified where possible * Missing fields clearly flagged (no guessing) **Timeline:** I can deliver an initial dataset within 1–2 days and scale quickly based on required volume. I’m happy to share a sample dataset from a similar project to demonstrate quality. Looking forward to working with you. Best regards,

@mananraja

Hi I have strong expertise in Web Scraping and can provide you required data (contact details as well as services summary) of your targeted Australia IT companies, in organized CSV format. I'm available to discuss details in chat. Abdul H.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Comprehensive List of Australian IT Companies and Services ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and see you are looking for a detailed list of Australian IT companies. You have no need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for compiling business data. I will use efficient web scraping methods to gather accurate contact details and service summaries, ensuring clean and structured data delivery within your budget. ➡️ Why Me? I can easily build your comprehensive list of IT companies as I have 5 years of experience in web scraping, data cleaning, and data management. My expertise includes using Python, BeautifulSoup, and Scrapy for data extraction and validation. Besides, I have a strong grip on data organization and analysis, ensuring high-quality results. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Web Scraping ✅ Data Cleaning ✅ Python Programming ✅ BeautifulSoup ✅ Scrapy ✅ Data Validation ✅ CSV Formatting ✅ API Integration ✅ Data Analysis ✅ Error Handling ✅ Project Management ✅ Attention to Detail Waiting for your response! Best Regards, Zohaib

@asifdwan

From a seasoned web-scraping professional like me, you can trust my ability to deliver high-quality and accurate results for your project. With my intricate knowledge of Python, including efficient frameworks such as BeautifulSoup, Scrapy and Selenium, coupled with years of experience handling even the most complex websites with anti-bot systems similar to yours have given me significant edge over others. These complex websites include those with advanced anti-bot protection like Cloudflare, Incapsula and many more. I am confident in my capacity to extract detailed information from the vast landscape of the internet. My data retrieval and processing skills have consistently proven beneficial for clients undertaking projects of similar scales and sensitivities as yours. I can collate all the required company details - keeping blank spaces only true need-be using reputable sources. I understand the meticulousness needed in handling the data entry, cleaning, formatting and duplicate removal processes that would ensure minimal human errors throughout.

@WelcomeClient

Hi There, Ready right now I'm ready to Scrape Australian IT Company Data. I will show you sample for your satisfaction and project accuracy then we will go to start, so please contact me and share more details thanks. Check My Profile: https://www.freelancer.pk/u/WelcomeClient I would like to work on this project and can complete with 100% accuracy within the time frame. https://www.freelancer.pk/projects/excel/business-profit-loss-reporting-excel/reviews https://www.freelancer.pk/projects/data-entry/copy-listings-from-website-another/reviews Thanks, Umer

@ShaikhAneesa

Hi there, I understand you’re building a structured dataset of Australian IT companies and service providers, including verified contact details and a clear summary of services for each company, delivered in CSV or spreadsheet format. My approach is to set up a multi-source data pipeline that pulls from reputable public listings and company websites, then structures and cleans the data into a consistent format. Each record will include company name, website, email, phone, physical address (if available), and a concise service summary extracted from official sources. I would use Python as the core stack with Scrapy for scalable scraping, BeautifulSoup for parsing structured pages, and Selenium only where dynamic content requires rendering. After extraction, I would run deduplication, field validation, and standardization to ensure clean, non-redundant records with consistent formatting. Finally, I would export the dataset into a structured CSV/Excel file with traceable sources so every entry can be verified. The output will be clean, filtered, and ready for analysis or outreach. What minimum number of companies are you targeting for the first version, and should I prioritize major cities first or aim for full nationwide coverage immediately? I’m ready to begin immediately. Warm Regards, Aneesa.

@sunmoon25

Hello I am able to give you a comprehensive list of Australian IT companies top executives leads. I have been working on lead generation for the last 12 years. I have a good team for that. Please contact me inbox so that we can discuss some details. We are ready to start working any time. Thank you.

@tmoi06

Hello Sir, I can build a clean, structured database of Australian IT companies and service providers with verified contact information and properly categorized service details. I’ve worked on similar web-research and data-extraction projects where I gathered business data from public directories, company websites, and industry listings, then cleaned, validated, and deduplicated the final datasets for spreadsheet delivery. ✅ My preferred workflow typically combines: ✔ Python-based scraping and parsing workflows ✔ Structured extraction from business directories and company websites ✔ Manual validation for missing or inconsistent fields ✔ Final cleanup and deduplication before delivery I can deliver a well-organized CSV or Excel file containing company names, websites, emails, phone numbers, addresses, and service summaries with consistent formatting and broad geographic coverage across Australia. I can also provide a small sample dataset first so you can quickly review the data quality, formatting standards, and extraction accuracy before scaling further. Thanks Ayan

@rivaakther651

Hello! I can able to provide a comprehensive list of Australian-based IT companies and service providers' websites, e, mail, phone numbers, and physical addresses accurately. Please message me. Thanks

@kayemhussain

Dear hiring manager ,, Fully understand your requirements & I can provide you comprehensive list of website, email, phone, physical address where available from Australian-based IT companies ,i am ready to start your work now & deliver to you within next 48 hour. Thanking you M A Kayem Hussain

@mamuncmt

Hi, I would build this in Python with a mix of Scrapy for large scale crawling BeautifulSoup for parsing and Playwright for JavaScript-heavy sites. Pandas would handle and export to CSV. For enrichment and missing data addresses or emails, I would rely on reputable directories and optionally APIs like Google Places. public IT directories company websites industry listings and verified business directories optionally enriched with APIs like Google Places. extract contacts and services normalize data remove duplicates using name domain matching and validate entries against sources. structured spreadsheet with company name website email phone address if available services and source link Thanks Mamun

@tushortz

Hello, I understand you're looking to build a comprehensive list of Australian IT companies and service providers, including their contact details and a summary of services offered, sourced from publicly available data. This aligns perfectly with my web scraping and data handling expertise. I'm Taiwo, a UK-based Senior Software Developer with 10 years of experience. I have a Master's in Cyber Security and a strong background in Python development, as demonstrated by my work with top companies like IBM, Sky, and the UK Government. For this project, I would leverage Python with Scrapy and BeautifulSoup for efficient web scraping, coupled with manual validation and scripting to ensure data quality and remove duplicates. I'm proficient in cleaning and structuring data into spreadsheets or CSV format, as showcased in past projects like my work for IBM, and Aritek Consulting, where I automated data extraction and processing. My preferred stack is Python, Scrapy, Beautifulsoup and Pandas. If this approach resonates with you, I'm ready to discuss your target record count and geographic coverage to provide an accurate turnaround estimate.

@kishwariqbal767

Hello! I have experience collecting and cleaning large business datasets through web scraping and manual verification. I can gather Australian IT company details including website, email, phone, address, and service offerings from reliable public sources and industry directories. My preferred stack includes Python, BeautifulSoup, Scrapy, Selenium, and Pandas for scraping, cleaning, deduplication, and validation. I focus on structured, accurate, and easy-to-use CSV/Excel outputs with minimal missing data. I can also expand beyond seed lists to improve coverage and deliver verified, organized records within the agreed timeline.

@rosscarter1011

Hi, I can help build a high-quality dataset of Australian IT companies and service providers using Python-based scraping and data-cleaning workflows. Approach: Use Python + BeautifulSoup/Scrapy (and Selenium only where needed) Collect company name, website, email, phone, address, and service descriptions from public business directories and company sites Normalize and clean the dataset, remove duplicates, and validate missing/invalid fields Deliver everything in a structured CSV/Excel format ready for analysis or outreach I’ve worked on similar business-directory and lead-generation scraping projects, focusing on clean structured output and broad geographic coverage. Deliverables: Clean CSV/Excel dataset Reusable scraping script README with setup and rerun instructions Estimated turnaround depends on target record count, but I can start immediately.

@Feriver

Hello, I understand you need a structured, high-accuracy data scraping project to build a comprehensive dataset of Australian IT companies, including verified contact details (website, email, phone, address where available) and a clear breakdown of services, with cleaned and deduplicated results delivered in a CSV or spreadsheet format. I will build a Python-based scraping and data enrichment pipeline using a combination of Scrapy for structured crawling, BeautifulSoup for targeted parsing, and Selenium where dynamic content is required. The workflow will include multi-source extraction (industry directories, company websites, and public listings), automated data cleaning, deduplication, and validation checks to ensure consistency and accuracy. Each record will be normalized into a structured schema with clearly defined fields for company identity, contact information, and service categorization. You will receive a clean, well-structured dataset in CSV or Excel format, along with the scraping scripts and a short technical note explaining how the pipeline works so it can be reused or expanded later. I can also suggest and integrate additional high-quality Australian business directories to improve coverage beyond your seed list. I’m ready to begin once you confirm scale and target record count. Thanks, Asif

@mayankinnovative

Hi, As per my understanding: you need a clean and verified database of Australian IT companies and service providers, including accurate contact details (website, email, phone, address) along with a concise summary of their services. The data must be sourced from publicly available and reliable platforms, then scraped, cleaned, validated, de-duplicated, and delivered in a structured CSV or spreadsheet format. Implementation approach: I will use a Python-based scraping workflow combining Scrapy, BeautifulSoup, Requests, and Selenium for dynamic websites where needed. Data will be collected from trusted business directories, company websites, LinkedIn, Clutch, Yellow Pages, and Australian IT industry listings. After scraping, I’ll run automated cleaning and validation scripts to standardize formats, remove duplicates, verify emails/websites, and minimize missing fields. The final dataset will be delivered in CSV/XLSX format with properly structured columns and service categorization. I can also scale the dataset geographically across all Australian states once we finalize the target record count. A few quick questions: 1. What is your expected minimum company count for the first delivery? 2. Do you want only active companies with verified websites? 3. Should MSPs, SaaS firms, cybersecurity, cloud, and digital agencies all be included? 4. Would you like LinkedIn/company size fields added as optional enrichment?

@Ekarthaan

Hi tubsfahkwah, Last week I delivered a very similar AU IT companies scrape, so I’m confident to handle this really well. Preferred stack: Python (Scrapy + Playwright for JS pages), BeautifulSoup/lxml, Requests, pandas; rapidfuzz for de‑dup; libpostal for adress cleanup; simple rotating proxies; all in Docker for repeat runs. Reliable sources I’ll target: company websites (primary), ABN Lookup/ASIC for legal names, Yellow Pages AU, Clutch/GoodFirms, LinkedIn company pages—only public info, cited per row. Quality: phones/emails/addresses parsed and validated, service list normalized into clear tags; obvious errors auto-flagged then checked by hand. Last week’s job hit 6,200 UK/AU MSPs with 97% phone validity, zero dupes. i would like to know the below. - What service categories do you want covered (e.g., MSPs, software dev, cloud, cyber) and any must‑include states? - Do you want ABN/ACN and headcount included, or keep to the exact fields you listed? I think we should. - Define a simple service taxonomy now, so filtering and future updates are clean. - Store the source URL for each field to make audits and fixes quick and reliable. Lets follow a plan like this. 1) Import your seed list and agree record target and coverage. 2) Crawl and scrape sources, preferring official sites; throttle to avoid blocks. 3) Clean, de‑dupe, validate, and tag services; spot check samples. 4) Deliver CSV with a data dictionary and a quick revision pass