Python Dev for Data Scraper & iOS Verifier
Budget: $2,000 – $4,000 USD
Title: Senior Python Developer for US Data Pipeline and iOS Verification System (Phase 1)
Project Description Suggestion:
Overview: > We are looking for a senior Python developer to build an automated data scraping and iOS verification pipeline based in the US. The goal for Phase 1 is to acquire over 10,000 verified leads per day.
Core Tasks:
1. Data Scraping: Extract data (name, phone number, age, gender, carrier) from US people search websites.
2. Anti-detection: Must integrate the Scrape.do API and set render=true and super=true.
3. Data Filtering: Implement automatic filtering by wireless/phone number and age range (50-90 years old).
4. Data Verification: Integrate the LoopLookup API to verify iMessage activation status.
5. Data Export: Automatically sort and export data to tagged .txt files (Elite/Advanced/Global).
Requirements:
· Proficient in Python Asyncio/HTTPX.
· Proficient in headless browser crawling and XHR interception. • Familiar with MongoDB (unique indexes) and Redis (for data deduplication).
Deliverables: > A Dockerized system that generates 10,000 verified iOS lead generation per day.
Project Description Suggestion:
Overview: > We are looking for a senior Python developer to build an automated data scraping and iOS verification pipeline based in the US. The goal for Phase 1 is to acquire over 10,000 verified leads per day.
Core Tasks:
1. Data Scraping: Extract data (name, phone number, age, gender, carrier) from US people search websites.
2. Anti-detection: Must integrate the Scrape.do API and set render=true and super=true.
3. Data Filtering: Implement automatic filtering by wireless/phone number and age range (50-90 years old).
4. Data Verification: Integrate the LoopLookup API to verify iMessage activation status.
5. Data Export: Automatically sort and export data to tagged .txt files (Elite/Advanced/Global).
Requirements:
· Proficient in Python Asyncio/HTTPX.
· Proficient in headless browser crawling and XHR interception. • Familiar with MongoDB (unique indexes) and Redis (for data deduplication).
Deliverables: > A Dockerized system that generates 10,000 verified iOS lead generation per day.
Related categories:
Python
Web Scraping
Software Architecture
Google App Engine
Docker
Data Scraping
MongoDB
API Integration