Data that moves at the speed of the web
When seconds make the difference between a winning trade and a missed opportunity, batch processing won't cut it. Our real‑time pipelines extract, validate, and stream web data to your systems within milliseconds — continuously, not on a schedule.
source: "wss://live-prices.example.com"
render: false
delivery:
type: "kafka"
topic: "raw.prices"
latency_sla_ms: 500
compression: "snappy"
8,400 events/min
0.2 seconds ago
Trusted data from leading platforms
When fresh means now, not “this morning”
Real‑time web scraping continuously monitors and extracts data from target websites, delivering structured payloads to your streaming infrastructure within milliseconds of a change. Instead of polling on a timer, the pipeline listens for updates — price changes, breaking news, inventory shifts — and pushes them to you the moment they happen.
Built on the same distributed engine as our batch services, but tuned for sub‑second latency, exactly‑once semantics, and seamless integration with Kafka, Kinesis, WebSockets, or any HTTP endpoint you already use.
- End‑to‑end latency under 500ms, tuned to your SLA
- Push delivery to Kafka, Kinesis, WebSocket, or webhooks
- Event‑driven: trigger scrapes via API, webhook, or message queue
- Auto‑scaling to handle spikes from 1 to millions of events/min
- Exactly‑once delivery guarantees for transactional pipelines
Why batch windows cost more than you think
In industries where data value halves every few minutes, these are the bottlenecks that real‑time pipelines eliminate.
Stale data drives bad decisions
A price change that happened 15 minutes ago might as well not exist for an algorithmic trader. Real‑time pipelines close the gap to sub‑second freshness.
Polling overhead wastes resources
Scraping every 5 minutes when nothing changes still burns compute and proxy credits. Event‑driven extraction only costs you when there's new data.
Batch integration breaks real‑time consumers
Your downstream systems expect a continuous stream, not a file drop every hour. Real‑time pipelines natively speak Kafka, Kinesis, and WebSocket — no batch adapter needed.
A streaming pipeline that never sleeps
Everything below runs on the same infrastructure that delivers under 500ms latency at millions of events per minute.
Sub‑second extraction engine
Headless browsers and lightweight HTTP clients are selected per target to minimise overhead. Warm pools eliminate cold starts; connection reuse cuts TLS handshake time.
Native streaming delivery
Push events directly into your Kafka topic, Kinesis stream, or WebSocket endpoint. Payloads arrive as JSON, Avro, or Protobuf — exactly as your consumers expect.
Event‑driven triggers
Scrapes can fire in response to webhooks, API calls, or messages on a queue — not just on a timer. Ideal for reactive architectures and just‑in‑time data collection.
Live latency dashboard
Monitor end‑to‑end latency, event throughput, and error rates in real time. Set alerts on latency breaches and never wonder if the stream has stalled.
{
"selector": "css:div.price",
"transport": "kafka",
"topic": "live.prices",
"compression": "lz4",
"latency_sla_ms": 500
}
From target definition to live data stream
Latency profiling
We benchmark your target sites to determine the optimal extraction method and the realistic latency floor — shared before any code is written.
Stream configuration
We set up the pipeline's output — Kafka topic, Kinesis stream, or webhook — and agree on payload schema, compression, and delivery semantics.
Shadow run & validation
The pipeline runs in parallel with your existing data source for a few days. We compare latency, completeness, and schema accuracy until you're confident.
Cutover to live
When the numbers match, you switch your consumers to the new stream. We monitor 24/7 and handle scaling, retries, and target changes.
Deliverables at each stage of real‑time onboarding
Latency profile & architecture doc
A written document detailing the optimal extraction method per target, expected end‑to‑end latency, and the delivery architecture — reviewed with your engineering team.
Shadow stream with comparison dashboard
A live, parallel stream delivering events to a test endpoint. A dashboard compares latency and completeness against your current source.
Production cutover & runbook
Live stream cutover with a written operational runbook covering monitoring, alerting, and escalation paths — owned by our team, shared with yours.
24/7 stream health monitoring & monthly latency report
Continuous monitoring of latency percentiles, throughput, and target‑site changes. Monthly summary shared with your team.
Pay for the speed and volume you need
Real‑Time Pipeline
For single‑source, moderate‑volume real‑time needs — ideal for a specific price feed or news source.
- One target domain, one stream
- Pay per event or monthly cap
- Standard monitoring & support
Managed Streaming
For multiple data sources, guaranteed latency SLAs, and full operational ownership by our team.
- Up to 5 target domains
- 99.9% latency SLA
- Dedicated streaming engineer
Enterprise Real‑Time
For global, multi‑asset data streams with custom latency guarantees, volume discounts, and 24/7 dedicated support.
- Unlimited target domains
- Custom latency SLA with penalties
- Dedicated account & ops team
Use cases where seconds matter
Financial Trading
Live price feeds from public exchanges and alternative data sources, streamed into trading engines within milliseconds.
Breaking News
Monitor news sites, blogs, and press releases in real time — push alerts the moment a headline matches your keyword.
Dynamic Pricing
Stream competitor price changes into your repricing engine continuously, not every hour. Adjust your prices while the window is still open.
Operational Alerting
Watch supplier portals for stock changes, shipping updates, or compliance notices — and trigger internal workflows the moment they appear.
Real‑time web scraping vs. batch alternatives
| Capability | Real‑Time Web Scraping | Scheduled (Hourly) | Self‑Serve API (Polling) |
|---|---|---|---|
| Data freshness | Sub‑second | Up to 60 minutes stale | As fast as you poll |
| Push delivery | |||
| Native streaming output (Kafka, Kinesis) | |||
| Event‑driven triggers | |||
| Exactly‑once delivery | |||
| Resource efficiency (no idle polling) |
“Our latency dropped from 15 minutes to under 300ms”
"Switching from a cron‑based scraper to ScraperScoop’s real‑time pipeline was the single biggest performance improvement our trading desk has seen. Data arrives faster than we can process it — and that's exactly what we needed."
"We built a live news alert product on top of their streaming pipeline. The latency is so low our users see news before it hits the aggregators. It's become our competitive edge."
"The fact that we could just connect our existing Kafka cluster and start receiving events the same day was incredible. No adapters, no middleware — just a clean stream of validated JSON."
Stream directly into your existing event infrastructure
Zero middleware. Just clean, typed events delivered exactly where your consumers expect them.
See how fast your data can move
Share a target URL and we'll return a latency benchmark — usually within one business day.
Questions about real‑time scraping
Let's measure the latency of your target together
Send us a URL and we'll benchmark how fast we can extract and deliver data from it — no commitment, no sales call. If the numbers work for you, we'll have a streaming pipeline live within two weeks.
Most pipelines move from benchmark to production in under 10 business days.
