We are seeking a highly skilled Technical Data Scraper to architect and execute high-volume data acquisition strategies. The primary objective of this role is to deliver 20,000 verified, deduplicated, and enriched leads daily to support the Inbound Team's outreach efforts.
Key Responsibilities
Data Acquisition & Engineering:
- Backend Extraction: Utilize custom scripts (Python/Node.js) to extract data directly from backend endpoints, bypassing front-end limitations to access deep, unexposed datasets.
- Tool Mastery: Operate and optimize scraping workflows across Apollo.io, LinkedIn Sales Navigator, Apify, and ancillary scraping tools.
- Automation: Build and maintain autonomous scraping actors on Apify to ensure continuous data flow with minimal downtime.
Data Refinement & Delivery:
- Verification Protocol: Cleanse, verify (email syntax/MX records), and enrich raw data to ensure a 95%+ deliverability rate before handoff.
- Daily Quota: Reliably engineer pipelines that yield a minimum of 20,000 refined leads per day for the Inbound team.
- Lead Bank Management: Architect and maintain a structured Lead Bank (database/CRM integration) for historical storage, segmentation, and retrieval.
Coordination & Maintenance:
- Cross-Functional Sync: Collaborate daily with the Inbound Team Lead to align on ICP (Ideal Customer Profile) shifts and data priority tiers.
Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related technical field.
- 2+ years of hands-on experience in web scraping, data extraction, lead generation, or large-scale data acquisition.
- Lead Generation Platforms: Proven hands-on experience with Apollo.io, LinkedIn Sales Navigator, Apify, and other B2B lead generation and data extraction platforms.
- Backend & API Extraction: Demonstrated ability to analyze network traffic using Chrome DevTools, Postman, and browser developer tools to identify, reverse engineer, and interact with hidden or undocumented APIs.
- Data Verification & Enrichment: Experience with email verification and enrichment tools such as NeverBounce, ZeroBounce, MillionVerifier, or similar platforms to ensure high-quality, validated lead data.
- Proxy & Anti-Bot Management: Hands-on experience with proxy providers such as Bright Data, Smartproxy, Oxylabs, rotating proxies, CAPTCHA handling, browser fingerprinting, and anti-bot mitigation techniques.
- Data Processing: Strong understanding of data cleansing, deduplication, normalization, enrichment, and quality assurance processes for large-scale lead databases.