//Case Studies

Hard problems, broken down

Sorted by technical depth.

01Featured casepricing intelligence

Global e-commerce pricing intelligence pipeline

The challenge

A retail client needed daily competitive pricing data from a highly protected global marketplace network that aggressively blocks datacenter IPs and headless browsers.

The approach

Engineered a distributed scraping cluster using residential proxy rotation, request signature spoofing, and TLS fingerprint matching to emulate legitimate mobile app traffic.

The outcome

A resilient pipeline delivering highly accurate daily pricing updates, allowing the client to algorithmically adjust their own prices across regions.

02Featured caselead enrichment

Lead enrichment pipeline for outreach

The challenge

A team had raw company and contact lists but no clean, structured data to run outreach or market research against.

The approach

Built a pipeline that enriched each record with contact details, social profiles and business / industry data, then validated and de-duplicated the result.

The outcome

Outreach-ready datasets that load straight into a CRM — faster, cleaner lists with far less manual research.

03auth bypass & extraction

LinkedIn / Sales Navigator lead extraction

The challenge

Extracting clean professional data at scale from a platform known for the most aggressive anti-bot and account banning systems.

The approach

Engineered a highly distributed scraping system utilizing session rotation, residential proxies, and human-like interaction delays to mimic natural browser behavior.

The outcome

A reliable data feed of target prospects delivered without triggering security flags or burning accounts.

04custom parser

TikTok data parsing

The challenge

TikTok content and metadata were needed at scale, but the platform actively resists automated extraction.

The approach

Wrote a custom parser with X-Bogus signature generation and protobuf payload decryption to extract the required data reliably.

The outcome

A repeatable parser producing structured TikTok data ready for downstream analysis.

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