Responsible & Flexible
“Fast response, clear comms, and zero drama. They adapt to our edge-cases without breaking the promise on timelines.”

Andrew Ryan
Marketing Manager, LexisNexis
Fully managed web scraping service designed for seamless data collection, tailored to your specific requirements, without the hassle.
Define exactly what to collect, how often, and where from—no engineering lift.
Receive data perfectly normalized to your fields and formats.
Automated checks, retries, and alerts keep feeds reliable.
Ethical collection practices and audit-friendly logs.
Our tailored approach plugs neatly into your stack—prioritizing accuracy, consistency, and insights you can act on from day one.
We pull from diverse, high-signal sources and reconcile duplicates so you get one clean, consistent view.
Schedules tuned to your needs—hourly, daily, or weekly—with smart retries when sites change.
Schema checks, anomaly flags, and sample approvals ensure you trust every field you receive.
CSV, Parquet, JSON Lines, or direct to your warehouse—shaped to match your downstream models.
Autoscaling crawlers and queueing keep throughput high while being gentle on target sites.
Encrypted transport, access controls, and compliant collection practices baked into the pipeline.
With two decades of hands-on experience, we deliver reliable big-data pipelines with double verification, rigorous QA, and proactive issue prevention—so your data is always accurate, secure, and ready to use.
“Fast response, clear comms, and zero drama. They adapt to our edge-cases without breaking the promise on timelines.”
Andrew Ryan
Marketing Manager, LexisNexis
“More than a vendor—it's a team that understands our roadmap. Their process makes collaboration easy and predictable.”
Craig Hudson
Vice President, Indigo Inc.
“Their data stream gave us a measurable edge online. Cleaner inputs, faster refresh, and insights we can act on quickly.”
Essam Abdalla
Pricing Manager, MoneyGram
We collect and refine millions of purpose-built data points from many sources, giving your team the coverage and freshness needed to stay ahead.
import requests from bs4 import BeautifulSoup url = "https://example.com" resp = requests.get(url) soup = BeautifulSoup(resp.text, "html.parser") prices = [p.text for p in soup.select(".price")]
Parser Status
Healthy
Events/min
Data shaped to your exact specs and delivered in formats that snap into your existing stack.
Issues handled quickly and drops shipped on schedule—every single cycle.
Automated checks + human QA so what you get is clean, consistent, and immediately usable.
We don’t just send data—we detect risks early and fix the root cause.