Care Home Data Compilation

@ESOLUTIONSSS

Hello, I'll be glad to assist you with this project. I can work with you during the next hours to have this done. I will complete this project with 100% accuracy. Click on the "CHAT" button so we will discuss it in detail. I'm always online and available. Please feel free to contact me at any time. I am available 24/7 for support. Best Regards Sandeep

@mattafareed4848

Hello I can efficiently consolidate the CQC datasets, clean and categorize all care settings into the required groups, enrich the data with company and registered manager emails where available, source and validate phone numbers, and verify email deliverability before providing a well-structured, CRM-ready dataset with detailed splits and reporting on verified contacts and bounce risks. Regards Muhammad

@SomeeLee25

Hello, With my background in full-stack development (Java Spring Boot, MySQL), Python data processing, and journalism, I can ensure both technical accuracy and clear documentation. I will handle the data manually and verify email addresses to maintain integrity. I can compile and refine care home data from the CQC spreadsheets and API, delivering a clean dataset ready for CRM import. Deliverables: • Filtering and splitting service types (Nursing homes, Care homes, Supported living, Hospitals, Rehab, etc.) • Adding missing contact details: registered manager emails, phone numbers, and company emails • Verification of email addresses through bounce-back testing • Final detailed split form for CRM import Delivery: 2 weeks Looking forward to working on your project. Best regards, Somee

@mobasherreza10

Hi there, As someone with a robust skill set in the world of data, I am more than capable of handling your request for the Care Home Data Compilation. My expertise in Data Analysis, Entry, Extraction, Management, and Processing is precisely what you need to navigate through the complex spreadsheets and extract the vital information of nursing homes, care homes, supported living locations, and more. Additionally, my knack for Data Visualization ensures that I'll be able to provide you with a comprehensive and well-structured dataset that simplifies your decision-making process. Even without direct access to NHS emails, rest assured that I will make it a priority to find and authenticate the other critical email addresses (registered manager and main company email).

@kbarbarius

Hello, Yes, I am confident I can deliver this to the pre-email stage in a clean, well-segmented format ready for your review before anything goes near a CRM or email tool. I will work from both CQC spreadsheets, apply your filtering criteria to isolate the relevant location types, and properly break out the grouped service categories in Column G into clear, distinct segments — Nursing Homes, Care Homes, Children's Homes, Supported Living, Hospitals (General, Mental Health, LD, Specialist), Prisons, and Rehab centres — so you can choose exactly what to import. For the missing registered manager and company email addresses, I will use a combination of reliable sourcing methods and run everything through verification checks before delivery, flagging anything uncertain rather than guessing. NHS addresses may have lower success rates due to generic inboxes, which I'll note separately. I would like to review the raw files first so I can confirm scope and give you an accurate timeframe and cost. Best regards, KBarbarius

@Wikimakerr

I have just read your project description that you are in search of a professional who can generate leads for you. I have a linkedin sales navigator account and different paid tools to generate the accurate data. I have a lot of experience in this field with over more than 8 years. I can provide you these details as per the budget decided: Contact Name / Contact Email / Designation / Company / General Email / Phone Number / Street Address / City / Country / Fax Number / Company Linkedin Profile / Personal Linkedin Profile / Number of Employees (Company Size) / Industry More details can be discussed over chat. Regards

@PINESCRIPTERR

Hi, I can help clean, merge, classify, and prepare the CQC-based care-sector dataset before CRM import. The first stage would be to combine the active locations and registered manager data, remove excluded categories, normalize names/addresses, deduplicate records, and split the service types into clear segments such as nursing homes, care homes, children’s homes, supported living, mental health hospitals, LD hospitals, general/specialist hospitals, prisons, substance misuse, and rehabilitation centres. For emails, I would not guess or fabricate addresses. I’d enrich from lawful public sources: provider websites, CQC-linked details, company pages, NHS/public directories where available, and verified business contact sources. Each record would include source URL, confidence level, company email, registered manager email where publicly available, and validation status. Email checks can include syntax, domain/MX checks, mailbox verification where supported, and controlled test sending if you approve the compliance approach. The final output would be a detailed spreadsheet split by care setting, with import-ready fields, removed/excluded records, missing-data flags, bounce-risk notes, and verification status so you can choose exactly what to upload to your CRM. Question 1: Can you provide the two CQC spreadsheets you are currently using? Question 2: Do you want only publicly sourced emails, or do you already have permission to use paid enrichment tools? Regards, Houssame

@alluankit01

Hi, I can compile and clean the care-sector database from the CQC files/API, split the service types properly, remove unwanted categories, and deliver a CRM-ready dataset with verified email fields where available. I’m comfortable with CQC data processing, Excel/CSV cleanup, data extraction, email research, bounce-risk checking, category splitting, duplicate removal, CRM-ready formatting, and clear data documentation. Deliverables will include: * Cleaned CQC master dataset * Service-type split and analysis * Exclusion rules applied * Phone number enrichment * Registered manager email research * Company email research * Email verification status * Bounce-risk notes * CRM-ready Excel/CSV file * Summary report by category For verification, I’ll use syntax/domain checks, public-source matching, and confidence labels, without fabricating emails where no reliable source exists. I’ll focus on accurate, current, well-split data so you can choose exactly which segments to import into your CRM. Best regards Ankit

@AzeemCodes7

As an experienced Python developer specializing in web scraping and data automation, I am confident in my ability to tackle your project head-on. My exceptional skills in extracting and analyzing data make me the ideal choice for compiling the Care Home Data you seek. In fact, I've built complex data pipelines before, including one for a conflict-data research project with full validation and reproducibility documentation, ensuring meticulousness throughout the process. No stranger to large-scale data projects, my streamlined approach will ensure not only the clear separation of service types your desire but also the inclusion of important missing details such as phone numbers and email addresses. I will implement a robust validation system that incorporates thorough testing via email verification. I fully understand NHS emails can be challenging, but rest assured, we won't let anything slip through the cracks when it comes to others. With my skills in data scraping and automation combined with proven on-time delivery, excellent communication, and a commitment to quality; you can rely on me delivering accurate, organized data within your determined timeframe. Additionally, my deep understanding of Python data analysis tools like Pandas paired with skills in producing clear visual reports (using Power BI) will serve you well as you evaluate which datas pieces are suitable for your CRM importation.

@zuhaaf

Hello, I have experience with lead generation, web research, Excel, data cleaning and CRM ready data preparation. I am confident in cleaning and categorizing the CQC datasets, organizing the records and enriching them with publicly available contact information while maintaining accuracy. For email verification, I use trusted verification tools and cross check data against official sources to minimize bounce rates. I understand the importance of delivering well structured verified data that is ready for CRM import. I can complete the project in 5 days and my cost is 130 dollars but we can further discuss this project and agree upon approriate amount. Best regards, Zuhaa Fatima

@MrDeaDpool707

i read your wants and since you mentioned the data is not out there so it is difficult to extract so it will take about 10 days and your budget is only 250 it is a bit difficult in that budget but let's negotiate and aslo understand what you need breifly.

@purityk34

Hi there, I’d be happy to help you with your Care Home / Nursing Home data compilation project. I have solid experience working with CQC datasets. I will: Merge and clean both files Apply your filtering rules (~19,590 records) Better categorize (Nursing Homes, Care Homes, Supported Living, Mental Health, Rehab, etc.) Enrich with Registered Manager emails, company emails, and phone numbers Test sample emails for deliverability I’ll deliver a clean, ready-to-use Excel file for your CRM. Timeline: 2–5 days Total Cost: A$50 I can start with a small pilot sample so you can check the quality first. Feel free to message me anytime — I’m ready to discuss details and get started! Best regards, Purity K. Data Specialist

@shreevee08

Hi, I carefully reviewed your project and understand that you need the CQC datasets cleaned, categorized, and enriched with verified contact information before importing the data into your CRM. I can organize the records into the required care categories, remove unwanted sectors, merge the relevant information from both datasets, and prepare a clean, structured spreadsheet. I'll also research company and registered manager contact details where available and verify email addresses before delivery to improve data quality. The final output will be well-organized, easy to filter, and ready for CRM import. Before we begin, I have a couple of questions: Will you provide the latest CQC datasets, or should I download the current versions? Do you have a preferred email verification tool, or should I use my standard verification process? Once I review the files, I'll provide an accurate timeline and fixed cost estimate. I look forward to working with you. Best regards, Shree

@affanq3

Hello, I can see the core risk: CQC datasets provide location and registration metadata but lack reliable contact emails and phone verification, so raw imports will yield high bounce rates and misclassified service types. That undermines any outreach or reporting you plan to run against 19,590 records. I have built and delivered large healthcare contact lists before, combining public regulator exports with targeted web scraping, Companies House lookups, and provider websites to capture company emails and registered manager contacts. I have matched and deduplicated 10k+ records in prior projects and implemented SMTP-level verification and mailbox testing without sending marketing content to validate addresses. My first step will be a sample extraction of 500 records from your filtered 19,590 set to show hit rate and issues. I will enrich CQC records with phone numbers, company main email, and registered manager name and email where available, then run non-intrusive validations: MX record checks, SMTP verify (RCPT TO) with timeouts, and a single benign test email to both registered manager and company emails to record bounces. I will also produce the split by service type you requested and flag categories removed from the final sheet. I propose delivering the sample within 4 business days and the full 19,590 enrichment in 12 business days after your approval of the sample and access to the CQC files. Cost estimates depend on verification depth; I provide a firm quote in the next message once you confirm sample approval. - Would you like me to start with a geographically random 500-record sample or one focused on a specific region? - Do you require proof-of-delivery for test emails (bounce headers) to be included in the spreadsheet? Let me know if a short call would help move things forward. Affan Qureshi

@adnanmalik756

Hi, It looks like you need a comprehensive compilation of data for various care settings, including nursing homes and supported living locations, with specific details like client names, addresses, and email contacts. My approach would involve carefully analyzing the CQC datasets you mentioned, ensuring the relevant information is extracted and organized effectively. With 7+ years of experience in data processing and management, I'm well-equipped to handle the nuances of this project, including cleaning the data and ensuring it’s properly categorized. To verify the email addresses, I would implement a systematic validation process to minimize bounce-backs, focusing on gathering as much accurate contact information as possible. Could you clarify how you intend to use this data once compiled? Understanding your end goal could help tailor the output more effectively.

@ShabbarAbbas

To complete this project, I will first extract the required data from the CQC files and API tool, focusing on nursing homes, care homes, supported living locations, and other care settings. I will then process and clean the data to obtain the necessary information, including client name, address, email addresses, and registered manager details. To achieve this, I will utilize Python and relevant libraries such as pandas and NumPy for data processing, and potentially BeautifulSoup for HTML parsing if needed. I have previously worked on a similar project, the "Attorney Settlement scrapping with AI" project, where I developed a fully automated data scraping solution, combining web automation and intelligent parsing to extract structured insights. In another project, "Real Estate Data Extraction", I engineered an advanced Python script to extract real estate tax data from dynamic websites and public APIs, handling high-volume data acquisition and access restrictions. Can you please clarify how you would like me to handle the missing email addresses, especially for NHS email addresses, and what is the expected timeframe for the delivery of this project? Additionally, what is the preferred format for the detailed split form of the data, so you can choose which data to import to your CRM?

@MthokoD

Care Home Data Compilation Challenge: Compiling comprehensive data for Nursing Homes, Care Homes, and other care settings with specific details. I've successfully delivered similar data projects, ensuring accurate information for targeted email campaigns. I will provide detailed data splits, including missing phone numbers and email addresses, as requested. A newer profile here doesn't reflect the experience behind it. The work speaks to consistent, reliable delivery. To proceed, I need access to the CQC files and clear guidelines on the desired data format. Chat soon, Warm Regards Mthoko

@muhammadt98

Hello, I have 7years+ experience in Data scraping and Data visualization. I can do this easily. We can start work right now. Thanks for your consideration.

@MobiDealer

⚠️If I can’t deliver, I don’t expect to get paid. I recently completed a similar data compilation project for a healthcare client, enhancing their database with missing contact details and improving data accuracy by 25%. I have over 5 years of experience in data analysis and database management, specializing in the healthcare sector. My expertise aligns perfectly with your project requirements. Understanding your need for comprehensive data with accurate contact details, I propose to meticulously extract, verify, and organize the information to meet your CRM specifications. I will conduct thorough email testing to ensure data accuracy and completeness before delivery. The difference between an average result and an exceptional one is usually decided before the work even begins. Regards, MobiDealer