High-Volume Web Scraper Needed – Collect 10K–500K YouTube Content Creators’ Emails (Australia & UK)
Budget: ₹600 – ₹1,500 INR
Job Description:
I am looking for an experienced freelancer (or team) who can collect large-scale contact information of YouTube content creators in Australia and the UK.
The main objective is to extract valid business email IDs from YouTube creators’ "About" pages or other publicly available sources, and deliver them in Excel format for cold outreach campaigns.
This is a high-volume project, starting with 10,000 valid email IDs and scaling up to 500,000+ emails over time.
Data Fields Required:
Channel Name / Creator Name
Niche / Category
Country (Australia / UK)
Contact Email (business email only)
Channel URL
Subscriber Count (if available)
Deliverables:
Clean, deduplicated dataset in Excel (CSV/XLSX)
100% publicly available data only (no private info)
Ability to scale from 10K to 500K emails
Script provided in Python (Scrapy, BeautifulSoup, or Selenium) with documentation for re-runs
Workflow Requirements:
Must be scalable & repeatable (weekly or monthly runs possible)
Use proxy rotation, anti-bot handling, error retries
Support large-scale automation without IP blocking
Provide an initial test run (e.g., 1,000–2,000 samples) for validation before full delivery
Payment Model:
Please quote your price per milestone based on the number of valid email IDs delivered:
Price for 10,000 emails
Price for 50,000 emails
Price for 100,000 emails
Price for 250,000 emails
Price for 500,000 emails
(I prefer a clear per-1,000 email rate so we can scale easily.)
Who Should Apply:
Freelancers with proven high-volume scraping experience
Teams comfortable handling large datasets (10K–500K rows)
Experience with proxy management, bot evasion & data cleaning
Ability to show sample past projects / references
How to Apply:
Share your approach for extracting YouTube creator emails at scale
Provide your pricing breakdown for 10K → 500K emails
Mention your estimated timeline per milestone
Include any previous large-scale scraping samples (if possible)
I am looking for an experienced freelancer (or team) who can collect large-scale contact information of YouTube content creators in Australia and the UK.
The main objective is to extract valid business email IDs from YouTube creators’ "About" pages or other publicly available sources, and deliver them in Excel format for cold outreach campaigns.
This is a high-volume project, starting with 10,000 valid email IDs and scaling up to 500,000+ emails over time.
Data Fields Required:
Channel Name / Creator Name
Niche / Category
Country (Australia / UK)
Contact Email (business email only)
Channel URL
Subscriber Count (if available)
Deliverables:
Clean, deduplicated dataset in Excel (CSV/XLSX)
100% publicly available data only (no private info)
Ability to scale from 10K to 500K emails
Script provided in Python (Scrapy, BeautifulSoup, or Selenium) with documentation for re-runs
Workflow Requirements:
Must be scalable & repeatable (weekly or monthly runs possible)
Use proxy rotation, anti-bot handling, error retries
Support large-scale automation without IP blocking
Provide an initial test run (e.g., 1,000–2,000 samples) for validation before full delivery
Payment Model:
Please quote your price per milestone based on the number of valid email IDs delivered:
Price for 10,000 emails
Price for 50,000 emails
Price for 100,000 emails
Price for 250,000 emails
Price for 500,000 emails
(I prefer a clear per-1,000 email rate so we can scale easily.)
Who Should Apply:
Freelancers with proven high-volume scraping experience
Teams comfortable handling large datasets (10K–500K rows)
Experience with proxy management, bot evasion & data cleaning
Ability to show sample past projects / references
How to Apply:
Share your approach for extracting YouTube creator emails at scale
Provide your pricing breakdown for 10K → 500K emails
Mention your estimated timeline per milestone
Include any previous large-scale scraping samples (if possible)
Related categories:
Python
Excel
Web Scraping
Data Mining
Scrapy
Data Extraction
BeautifulSoup
Selenium