Turn any website
into structured data
Production-grade scraping pipelines that extract, clean, and deliver web data at scale — reliably, legally, and without maintenance overhead on your team.
50M+
Records extracted monthly
99.7%
Pipeline uptime SLA
<2s
Avg. page extraction time
Automate data collection
at any scale
Manual data entry is obsolete. We engineer extraction pipelines that run continuously — bypassing blocks, parsing complex architectures, and delivering normalised data to your systems without human intervention.
Automated Scheduling
Run on any cadence — minute-level to weekly — without manual intervention.
Anti-Block Systems
IP rotation, fingerprint spoofing, and headless browser evasion built in.
Infinite Scalability
From 1,000 to 10M+ records per day with the same pipeline architecture.
Proxy Management
Residential and datacenter pools managed and rotated transparently.
Any data. Any structure. Delivered clean.
Our systems parse and normalise data from virtually any markup, turning chaotic sources into pristine, schema-valid datasets.
← Drag to explore →
E-commerce Products
Full product catalogues, variants, pricing history, and reviews from any store.
{ "price": "$49", "stock": 12, "rating": 4.8 }
Lead Databases
Targeted lists of emails, phones, job titles, and company info at scale.
{ "email": "ceo@acme.co", "title": "CEO" }
Competitor Pricing
Real-time price monitoring and promotional offer tracking across rivals.
{ "competitor": "X", "diff": "-5%", "ts": "now" }
Job Listings
Roles, salaries, requirements, and hiring trends aggregated across job boards.
{ "role": "Engineer", "salary": "$140k" }
SEO Metadata
Bulk audits of rankings, titles, meta descriptions, and structured data.
{ "rank": 1, "kw": "data scraping" }
Market Intelligence
Sentiment signals, trend data, and unstructured insights from across the web.
{ "sentiment": "positive", "score": 0.84 }
Five stages from URL to clean data
A precise, battle-tested process that transforms chaotic web sources into schema-valid, ready-to-use datasets.
Source Analysis
We map the target site's architecture, APIs, and anti-scraping defences before writing a single line.
Extraction Logic
Custom scrapers navigate pagination, JS rendering, logins, and dynamic content — reliably, at any depth.
Data Cleaning
Duplicates removed, missing fields flagged, encodings normalised, and outliers caught before delivery.
Structuring
Every record is cast to your agreed schema — typed, validated with Pydantic or Zod, and ready to query.
Delivery
Pushed to your API endpoint, database, S3 bucket, or file destination on your schedule, with delivery receipts.
Pipeline Status
Records extracted (24h)
1,450,392
Enterprise-grade infrastructure that never sleeps
Whether you need thousands of pages a day or millions an hour, our distributed architecture handles JavaScript-heavy sites, CAPTCHAs, and dynamic layouts — with zero downtime and full observability.
10M+
Records / day capacity
99.7%
Pipeline uptime SLA
0
Downtime incidents YTD
- Distributed across multiple worker nodes
- Auto-scaling based on queue depth
- Alerting on extraction failures within 60s
- Full audit log of every record processed
Outputs & integrations
We deliver clean, structured data exactly where your team needs it — no manual export steps, no format negotiation.
JSON / XML
Standard structured output for any application.
CSV / Excel
Spreadsheet-ready flat files for analysts.
PostgreSQL
Direct insertion into your relational database.
Google Sheets
Sync directly to a live spreadsheet.
Airtable
Push records into Airtable bases and views.
REST API
Query your data via a managed REST endpoint.
BigQuery / S3
Bulk delivery to cloud data warehouses.
Need something else?
Custom Webhooks
Any endpoint you control.
Ready to build your data pipeline?
Tell us the sources and the output format you have in mind. We will scope the pipeline, estimate the cost, and deliver a working proof of concept — within 48 hours, no commitment required.
No commitment required · POC delivered in 48 hours