
Data scraping
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Post a project like this29
£100(approx. $132)
- Posted:
- Proposals: 24
- Remote
- #4484865
- Open for Proposals
Website Designer & Developer | WordPress, Shopify, Webflow, Wix, GoHighLevel | Landing Pages, Sales Funnels, SEO, UI/UX, Conversion Optimization, Lead Generation & Automation Expert

I Will Grow Your Business & Generate Leads with SEO, AI Automation, Video Content, Web Development & Strategy
Email List Building|B2B Lead Generation|Data Entry|Data Scraping|Pdf to Excel

WordPress Expert | Web & App Developer | SEO Specialist | Content Writer | Blockchain | Python | OpenAI | Machine Learning

Top-Rated Web & Graphic Designer | Database Expert | Business Analysis| Python Developer


Full Stack Web Development | UX/UI Responsive Designing | PHP | WordPress |...
♛ PPH No. #1 ✔ AI Automations ♛ 12 Years of Experience in Web & Mobile Development & Designing ✔ Magento ✔ Shopify ✔ WordPress ✔ API Integration ✔ React Native ✔ AngularJS / Node.js


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Description
Experience Level: Entry
Estimated project duration: less than 1 week
I require an experienced data researcher / scraping specialist to extract high-quality, niche-specific data from multiple UK sources and deliver it in a clean, structured format.
This is not a bulk scraping job — accuracy and relevance are critical.
Scope of Work:
1. Target Data (Initial Focus)
I am looking to build lists for the following niches:
• Property investors (Buy-to-Let, HMO, developers)
• Company directors in property-related businesses
• Business owners suitable for commercial finance
⸻
2. Data Sources
You may use a combination of:
• Companies House (via SIC codes & director data)
• Property-related platforms (where legally accessible)
• Public directories
• LinkedIn (Sales Navigator filtering – manual research, not scraping if restricted)
• Other compliant UK data sources
⸻
3. Required Data Fields
Each record should include (where available):
• Full Name
• Company Name
• Role (Director / Owner)
• Email Address (verified where possible)
• Phone Number (if available)
• Location (UK-based)
• Industry / SIC Code
• Notes (if relevant, e.g. property investor / developer)
⸻
4. Data Quality Requirements
• UK-based contacts only
• No duplicate entries
• No generic or irrelevant businesses
• Data must be accurate and up-to-date
• Avoid scraped junk or low-quality lists
⸻
5. Compliance (VERY IMPORTANT)
• All data must be sourced from publicly available or compliant sources
• Must comply with UK GDPR guidelines
• No illegal scraping or data extraction methods
• No use of prohibited LinkedIn automation tools
⸻
6. Output Format
• Excel / Google Sheets
• Clearly structured columns
• Clean, ready for outreach use
⸻
7. Initial Volume
• Phase 1: 4000-5000 high-quality leads
• Potential for ongoing weekly/monthly work
⸻
Ideal Candidate:
• Experience with UK data sourcing (Companies House, etc.)
• Strong data cleaning and validation skills
• Familiar with B2B lead generation
• Understanding of property / finance sector is a plus
• Able to suggest better data sources (not just follow instructions)
⸻
Budget & Timeline:
• Open to proposals based on quality
• Looking to start immediately
• Ongoing work available for the right person
⸻
To apply, please include:
• Examples of similar data projects
• Tools you use for sourcing and verification
• Your approach to ensuring data accuracy
⸻
Start your proposal with:
“Quality over quantity — understood”
⸻
Additional Notes:
This project is focused on building a long-term data pipeline for targeted outreach campaigns. I am looking for someone reliable who can consistently deliver high-quality results.
This is not a bulk scraping job — accuracy and relevance are critical.
Scope of Work:
1. Target Data (Initial Focus)
I am looking to build lists for the following niches:
• Property investors (Buy-to-Let, HMO, developers)
• Company directors in property-related businesses
• Business owners suitable for commercial finance
⸻
2. Data Sources
You may use a combination of:
• Companies House (via SIC codes & director data)
• Property-related platforms (where legally accessible)
• Public directories
• LinkedIn (Sales Navigator filtering – manual research, not scraping if restricted)
• Other compliant UK data sources
⸻
3. Required Data Fields
Each record should include (where available):
• Full Name
• Company Name
• Role (Director / Owner)
• Email Address (verified where possible)
• Phone Number (if available)
• Location (UK-based)
• Industry / SIC Code
• Notes (if relevant, e.g. property investor / developer)
⸻
4. Data Quality Requirements
• UK-based contacts only
• No duplicate entries
• No generic or irrelevant businesses
• Data must be accurate and up-to-date
• Avoid scraped junk or low-quality lists
⸻
5. Compliance (VERY IMPORTANT)
• All data must be sourced from publicly available or compliant sources
• Must comply with UK GDPR guidelines
• No illegal scraping or data extraction methods
• No use of prohibited LinkedIn automation tools
⸻
6. Output Format
• Excel / Google Sheets
• Clearly structured columns
• Clean, ready for outreach use
⸻
7. Initial Volume
• Phase 1: 4000-5000 high-quality leads
• Potential for ongoing weekly/monthly work
⸻
Ideal Candidate:
• Experience with UK data sourcing (Companies House, etc.)
• Strong data cleaning and validation skills
• Familiar with B2B lead generation
• Understanding of property / finance sector is a plus
• Able to suggest better data sources (not just follow instructions)
⸻
Budget & Timeline:
• Open to proposals based on quality
• Looking to start immediately
• Ongoing work available for the right person
⸻
To apply, please include:
• Examples of similar data projects
• Tools you use for sourcing and verification
• Your approach to ensuring data accuracy
⸻
Start your proposal with:
“Quality over quantity — understood”
⸻
Additional Notes:
This project is focused on building a long-term data pipeline for targeted outreach campaigns. I am looking for someone reliable who can consistently deliver high-quality results.
Naaman P.
100% (9)Projects Completed
10
Freelancers worked with
8
Projects awarded
19%
Last project
24 Sep 2025
United Kingdom
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