Job Description
Design and build distributed scraping architectures that can scale across thousands of domains.
Reverse engineer APIs and mobile apps using tools like Frida, mitmproxy, Charles Proxy, burp and many more.
Detect common anti-bot measures (like JavaScript checks or browser behavior detection) to build crawlers that adjust to appear more human-like.
Lead technical innovation in scraping: identify edge cases, prototype recent approaches, and share knowledge with the team.
Set up anomaly detection and monitoring to detect blockers or failures early
Qualifications
What You Bring
7+ years of experience with Python and large-scale scraping projects.
Deep understanding of anti-bot technologies and how to bypass them, fingerprinting, WAFs, JavaScript challenges, etc.
Experience working with Scrapy, Requests, httpx, Selenium, Playwright, or custom headless browser drivers.
Skilled at handling proxies (residential, datacenter, rotating), session management, cookie injection,



and TLS tweaking.
Strong debugging skills across browser, HTTP traffic, and device-level interactions.
You think independently and enjoy solving problems no one has solved before.
Familiarity with structured storage formats (Parquet, Avro), or real-time stream processing.
Good knowledge of databases like MongoDB, InfluxDB, and Redis, including how they work and how to optimize them.
➕ Bonus Skills
Experience with real-device simulation for mobile scraping.
Comfortable building and maintaining distributed task queues (Celery, Kafka, etc.).
Experience scraping high-security platforms or mobile-first environments.
Exposure to Linux or cloud environments (AWS, GCP, etc.).
Basic understanding of Kubernetes, Cloud Run, and Cloud Functions to deploy and orchestrate scraping workloads.

📌 Software (Web Scraping, Data acquisition, Data collection) (India)
🏢 Nielseniq
📍 India