
Procoders
procodersProcoders is a data engineering studio. We design, build, and operate production-grade web scrapers and data pipelines on Apify since 2015.
ACTOR STATS
1 public Actor
2 total users
2 monthly users
Procoders — Product & Data Engineering Partner 🚀
We build web apps and data products that ship on time and scale. Since 2015, we’ve delivered and maintained production‑grade Apify Actors for startups and enterprises — with 5.0★ on Clutch, 95% client satisfaction, and 60% referrals.
Why teams choose us 💡
- Production mindset: resilience, idempotency, deduplication, observability
- Clear scope & timelines: transparent milestones and communication
- Nice Output UI: curated Apify Dataset views your team actually enjoys
- Scale on demand: parallelization, autoscaling, smart concurrency limits
- Proven track record: 5.0★ Clutch rating, 150+ staffed teams, since 2015
Superpowers ⚡
- Crawlee + Playwright/Puppeteer (stealth/fingerprints, session pools)
- Apify storages (Datasets/KVS/Request queues) with tidy schemas and views
- Data quality: validators, schema contracts, test fixtures
- Performance: caching, rate control, backoff strategies, headless tuning
Industries we know 🧭
Finance, Healthcare, Manufacturing, Logistics, Real Estate, Education, Legal, Automotive, Fitness
Tech stack 🧠
TypeScript/Node.js, Python • Crawlee • Playwright/Puppeteer • Redis • Postgres • S3/GCS • Docker/Kubernetes • CI/CD
Engagement models 🤝
- Fixed scope: deliver a specific Actor with docs and handover
- Monthly retainer: monitoring, patches, improvements (with SLA)
- One‑off audit: performance/cost review and quick wins
Recent wins 🏆
- 10M+ records/month pipeline with auto‑healing and <0.5% error rate
- Cost‑cutting refactor: −42% proxy spend, +65% throughput
- Unified schema across 4 review platforms (Clutch, G2, GoodFirms, etc.)
Let’s talk 👋
Tell us what data you need and a link as an example — we’ll propose the shortest path to a stable, scalable solution.
- Message us on Apify or via our website: procoders.tech
Your data, on schedule, at scale.