Financial Data Scraping Services

No. Real-time and delayed quotes, trade data and order book information are licensed exchange products, and extraction is not a legitimate route to them. Licensed index data, credit ratings and consensus estimates are equally out of scope.

This is not us being cautious for its own sake. Financial firms face routine data licensing audits, exchanges enforce market data rights actively, and a product built on unlicensed feeds breaks with no remedy when access is cut. If you need market data, the route is a licence from the exchange or a licensed vendor.

Everything that is genuinely public and, in practice, mostly unstructured: regulatory filings and disclosures including tables and footnotes in PDFs, published deposit and lending rates with full tier structure, retail product terms and fee schedules, fund factsheets and KIIDs, and corporate announcements on company sites.

The recurring pattern is that this data is public but locked in documents and changes without announcement. That makes it a collection and extraction problem rather than a licensing one, which is exactly where a managed service earns its cost.

Yes, and it is the most technically demanding part of this service. Our extraction rate on terms documents is around 94%, with every extracted figure carrying a terms_source reference to the document and page.

That traceability is not a nicety in financial data. Figures in this category get reviewed — by compliance, by auditors, by clients — and a number without provenance is unusable in that context. Where extraction confidence is low we flag the figure rather than delivering it silently.

Because a headline rate usually applies to one tier and often to a minority of balances. A 4.10% headline with 2.05% below a threshold, reverting to 1.85% after twelve months, is three numbers pretending to be one.

We capture tiers as an array with thresholds, keep intro period and revert rate as separate fields, and record the stated basis — AER, gross, APY — rather than normalising it away. We deliberately do not compute a single effective rate, because the right figure depends on balance and holding period assumptions that belong to you.

Near real time on a tracked entity watchlist, typically within minutes of publication on the relevant regulatory portal. Alerting includes form type and filing metadata immediately, with structured extraction following shortly after.

Speed depends on the portal rather than on us. Some regulators publish in near real time; others batch. We tell you the realistic latency per jurisdiction during scoping rather than quoting a single figure that only applies to the fastest source.

Yes. Risk factor sections and other narrative disclosure are compared against the prior comparable filing, and changes are surfaced with the specific passages identified.

Analysts consistently find this among the more valuable outputs, since a quietly reworded risk factor often precedes a disclosed problem. We report changes rather than interpreting them — whether a rewording is material is a judgement that belongs to your analyst, not to our pipeline.

Regulatory portals publish filings specifically for public access, and several provide bulk access or APIs which we use in preference to page collection where available. Where a portal has stated rate limits or access conditions, we respect them.

This is one of the more comfortable areas in web collection, since the publication purpose is public disclosure. We still document methodology per portal and make a DPA available before signature, because your compliance function will ask and it is easier to have the document ready.

Published product documentation, terms and fee structures, yes. Actual quoted premiums are usually not publicly available, because they require submitting personal details to a quote engine — and we do not submit fabricated personal data to obtain quotes.

That is a real limitation and worth being clear about. Some vendors do generate synthetic quote requests; we consider that both a terms problem and a data quality problem, since fabricated inputs produce quotes for people who do not exist. What we can supply is the published product structure that governs how premiums are built.

We quote individually. The drivers are institution or entity count, how much of the data sits in PDF documents requiring extraction, refresh frequency, and whether you need near real time filing alerting.

PDF-heavy scopes cost more than page-based collection because extraction with page-level traceability is labour-intensive. A focused competitor rate panel refreshed daily sits at the lighter end; multi-jurisdiction filings extraction with near real time alerting sits higher. One scoping call, a free pilot on your own institution list within 48 hours, then a fixed monthly quote. Request a quote.