Zero-latency data harvesting for the fastest moving markets.
When seconds matter, our real-time engine delivers. Built for finance, betting, and high-frequency news monitoring where data age is the primary metric.
Some decisions do not survive a nightly batch. A price that moved at 09:14, a listing that appeared and sold within the hour, stock that ran out before the next run. Real-time collection is about the gap between a change happening and you knowing.
We collect on a short cycle and push changes to you as they happen, rather than delivering a file and leaving you to diff it. You get the change, not the whole snapshot.
Maintaining persistent connections for live data streaming.
Global edge-processing for maximum speed.
Immediate push notifications when specific data changes.
Safe, rapid-fire requests to stay ahead of the curve.
Enterprise Standard
99.9% Extraction Reliability
The schema is yours to change — add fields, drop fields, rename them to match what your systems already read. This is the default.
| Field | Type | What it is |
|---|---|---|
event_id | string | One change. Deduplicated at source. |
entity_id | string | What changed. |
field | string | Which field moved. |
old_value | string | What it was. Null on first observation. |
new_value | string | What it is now. |
source_url | string | Verifiable by hand. |
observed_at | timestamp | When we saw it, UTC. |
latency_ms | integer | Between our fetch and your webhook firing. |
Webhook POST — JSON per event, or a stream if you prefer.
Values here are illustrative. On a real sample these are your products, from your target sites — see below.
{"event_id": "evt_0192af","entity_id": "SKU-10044","field": "price","old_value": "39.99","new_value": "34.99","source_url": "https://example-store.com/p/kettle-1-7l","observed_at": "2026-10-15T09:14:02Z","latency_ms": 310,}Repricing triggered by a competitor move rather than by a nightly job.
Inventory that appears and disappears inside an hour.
Public signals where the value decays quickly.
A defined one-off project with a known scope and a delivery date.
Continuous collection, weekly or monthly. Selector fixes after a site changes are included.
A scraping engineer working inside your team, for roadmaps rather than deliverables.
All three are reasonable. Which one fits depends on how much of this you want to own.
A short cycle multiplies every problem you had with a nightly batch. Request volume rises by the same factor as your frequency, sources start refusing you, and you need deduplication because the same page polled every minute mostly has not changed.
Most tools are built around a schedule and a file. Pushing a change within seconds of it happening, to a webhook your systems already listen on, is a different shape of product.
We run the polling at a rate each source tolerates and push you the change rather than the snapshot - the event, with the previous value alongside the new one, so your side does not have to diff anything.
Collection breaks. The question worth asking a supplier is not whether it breaks but whether you find out from them or from your own data.
Collection degrades exactly when the data is most valuable, and you may lose access entirely.
Cycle time is set per source against what it tolerates, not globally. Where a source will not take one minute, we say so rather than degrading quietly.
Your webhook fires on noise, and real events get lost among them.
Events are emitted on a field changing value, not on the page differing. A re-render with the same price is not an event.
The change is gone, and a stream with holes is worse than a batch, because nobody knows it has holes.
Delivery retries with backoff and events are replayable for a retention window, so an outage on your side is recoverable.
The same six steps on every engagement, whether it is one site or ten thousand.
Hand-shake connection has been established between potential customer and Business Team.
Potential customer exchange information and Business Team consult them with expert advice.
Compliance & Technical specialist examines the identified business need of potential buyer.
Potential Buyer confirms the compliance details to allow Engineering team to start Execution.
Delivery team dispose off the Exemplary Service to ensure the customer delight.
Build a strong long term relationship with a client by exceeding their expectations at every stage.
Most projects start within a few days of the requirements being agreed. A single straightforward site is usually running within a week. Large multi-site pipelines take longer, and we will give you a schedule with the quote rather than a vague estimate.
We build collection to be well-behaved: sensible request rates, proper identification and respect for published crawl rules. If a site does not want to be collected from, that is a signal we take seriously rather than a problem to engineer around. Where a site is simply slow or rate-limited, we schedule around it.
JSON, CSV, Excel, XML, or straight into a database. We can drop files to S3, SFTP or Google Drive, push to a webhook, or expose the data through a REST API. Tell us what your systems already read and we will match it.
It happens regularly, and it is part of what you are paying for. We monitor our scrapers, so in most cases we spot a break before you do. Fixing selectors after a layout change is included in retainer and dedicated developer arrangements. On fixed-price projects we agree a support window upfront.
Three ways: a fixed price for a defined project, a weekly or monthly retainer for ongoing collection, or a dedicated scraping developer working as part of your team. Which one fits depends on how often the data changes and how much of the work is ongoing rather than one-off.
Send a target URL and the fields you want. We return 100 real extracted rows within 24 hours so you can check the structure and the quality yourself, before any money changes hands.