Overview
Data extraction at scale
Data extraction is not a software problem. It is an engineering and infrastructure problem. Platforms fight back. Apps hide their data. Scrapers break every week. Reliable data at scale requires dedicated infrastructure, deep technical expertise, and continuous maintenance. Not a subscription to a tool.
Schedule
Sources
Delivery
DatabaseHow every extraction request flows through our infrastructure, from job scheduling to clean data delivery.
This infrastructure runs millions of extraction requests per day, across thousands of sources, delivering data in real time. When a platform changes its defenses, we adapt within hours. When a request fails, it retries automatically. When data comes back malformed, it gets caught before it reaches you. You do not manage any of this. You tell us what data you need, and it arrives clean, structured, and on time.
The reality
Why data extraction is hard
Before you evaluate any extraction solution, understand why the problem is harder than it looks.
Platforms fight back
Major websites and apps deploy anti-bot systems that analyze browser fingerprints, mouse movements, scroll patterns, and request timing to detect and block automated access. Getting past the front door is just the first challenge.
Mobile apps are a black box
The most valuable competitive data, real-time prices, delivery ETAs, live inventory, often exists only inside mobile apps. This data is hidden behind encrypted API calls, device validation, and security layers that standard web scrapers cannot touch.
What works today breaks tomorrow
Platforms update their defenses constantly. App updates change API endpoints silently. Frontend teams push code changes that break scrapers without warning. Building a scraper is 10% of the work. Keeping it running is the other 90%.
Scale multiplies everything
Extracting 100 pages is a proof of concept. Extracting millions of data points across thousands of sources every 15 minutes, continuously, without gaps, without errors, is an infrastructure operation. The challenges do not add up. They multiply.
Every geography is a different problem
A product priced at $10 in one city might be $12 in another and out of stock in a third. Platforms serve different data based on location, device, language, and user profile. Extracting from one location gives you one version of the truth. Real coverage means running parallel extractions across every geography that matters.
Building it in-house costs more than you think
A proof-of-concept scraper takes a week. Keeping it running takes a team. Proxy costs, infrastructure, monitoring, maintenance, on-call engineers for when things break at 2 AM. Most companies that try to build in-house spend 6-12 months and significantly more budget than outsourcing, and still end up with a fragile system.
Our capabilities
What Clymin extracts that others cannot
These are operational capabilities built over three years. Each one is a hard problem we have solved at scale.
We Extract Data From Sources That Actively Block Everyone Else
Anti-bot bypass across Cloudflare, DataDome, Akamai, and custom defenses
Why it matters
- Most valuable platforms invest heavily in bot detection
- Cloudflare, DataDome, and Akamai use fingerprinting, behavioral analysis, and ML
- A basic scraper gets blocked within minutes
- Bypassing one layer is not enough. They stack multiple defenses
How we handle it
- Manage TLS fingerprints to mimic genuine browsers
- Simulate realistic browsing behavior and timing patterns
- Rotate identities across proxy types per platform
- Adapt to defense upgrades within hours, not days
The difference
Managed extraction vs building in-house
A scraping tool or an in-house engineering setup gives you control. But it also gives you every problem that comes with it. Here is how Clymin compares.
We build the entire pipeline. You define what data you need.
You build and configure scrapers, set up infrastructure, and handle every integration yourself.
We detect platform changes and adapt within hours. You do not notice.
When a platform changes, your scraper breaks. Your team finds out when the data stops flowing.
We manage proxies, anti-bot bypass, scaling, and monitoring end to end.
You procure proxies, manage rotation, handle CAPTCHAs, and maintain servers. Full-time work.
We extract from websites, mobile apps, and private APIs through a single pipeline.
Most tools only support websites. Mobile app extraction requires specialized skills most teams lack.
Every record is validated, deduplicated, and schema-mapped before delivery.
You get raw output. Cleaning, deduplication, and validation become your engineering team's problem.
CSV, JSON, API, or direct warehouse push. Your schema, your schedule.
You build the transformation and delivery pipeline yourself. Another system to maintain.
Pay per record delivered. Zero setup fees. Zero platform fees.
Tool licenses, proxy costs, infrastructure, and engineering salaries. You pay whether it works or not.
Millions of requests per day across thousands of sources. Built in from day one.
You hit rate limits, infrastructure ceilings, and engineering bottlenecks as volume grows.
Real-time monitoring, automated retry, and alerting. We catch problems before you do.
When something fails at 2 AM, your on-call engineer gets paged. Downtime is your problem.
Your team focuses on using the data, not on getting it.
You need dedicated engineers building, debugging, and maintaining scrapers full time.
Process
How Clymin works
No long procurement cycles. No months of setup. Here is how every engagement starts.
Tell us what you need
Share your data requirements. Which platforms, what data points, how frequently, in what format. We take it from there.
We run a free pilot
We build the extraction pipeline for your specific sources and deliver sample data within 1-3 days. No cost, no commitment.
You evaluate the output
Compare the pilot data against your current sources or internal benchmarks. Share feedback. We iterate until it meets your standard.
We agree on scope and pricing
Pay per record delivered. No setup fees. Pricing scales with your volume. We agree on scope, frequency, and delivery format.
We deliver continuously
The pipeline goes live. Data flows on your schedule. Ongoing maintenance, validation, and monitoring included. You pay only for what we deliver.
See it in action
No pitch deck replaces real output. Tell us what data you need.
FAQ
Data extraction FAQ
Managed data extraction means you tell us what data you need and we handle everything else. We build the scraping infrastructure, run the extraction pipelines, maintain them when platforms change, validate the data for accuracy, and deliver it to your systems in your preferred format. You do not build scrapers, manage proxies, or fix broken pipelines. You just use the data.
A scraping tool gives you software. You still need to build scrapers, manage proxies, handle blocks, fix breakages, and maintain everything yourself. Clymin is a fully managed service. We build, run, and maintain the entire data extraction operation. You define the data requirement. We deliver the output. If something breaks, we fix it. You never notice.
Yes. Mobile app extraction is one of our core capabilities. We reverse-engineer mobile app binaries to uncover private API endpoints, bypass certificate pinning and encryption layers, and replicate authenticated mobile sessions in controlled device environments.
Major platforms use sophisticated anti-bot systems that combine browser fingerprinting, behavioral analysis, TLS inspection, and machine learning. We address these layers simultaneously using managed proxy infrastructure, realistic browsing simulation, TLS fingerprint management, and continuous adaptation when defenses change.
We deliver in whatever format your systems consume. CSV, JSON, API endpoints, or direct integration into cloud data warehouses like BigQuery, Snowflake, or Redshift. You define the schema and column structure.
We typically deliver pilot data within 1-3 days of receiving your requirements. For simpler sources, it can be faster. The pilot uses your actual data sources and requirements so you can evaluate real output, not a demo.
Every record passes through automated validation before delivery. We check for schema consistency, field type correctness, value range plausibility, and cross-reference against historical baselines to catch anomalies. Only data that passes every validation layer gets delivered.
No. Zero setup fees. Zero implementation costs. Zero customization charges. You pay per record delivered. If we do not deliver, you do not pay. Everything else is included.