Research & Web Data Services

Research you can actually rely on

Web research is worth nothing if the records are unverified. The value is entirely in the checking, which is exactly the part that gets skipped.

  • Manual research
  • Verified records
  • Scheduled extraction

How the research is run

Research work looks like the easiest thing to outsource and produces the most quietly unusable output. A list of two thousand contacts where a quarter are wrong is worse than a list of five hundred that are right, because nobody knows which quarter.

So the discipline is verification and honesty about coverage: what was found, what was checked, what could not be confirmed, and what the source was.

StaffCloud does both the manual research — where judgement is needed — and scheduled automated extraction where the data is structured and the volume justifies it. Which route a job takes is a decision we will explain rather than a default.

Capabilities

Manual research with sources

Records researched by people, with the source recorded per field so a claim can be traced rather than trusted.

Verification and confidence

Records verified against a second source where possible, with unconfirmed fields marked as unconfirmed rather than left to look the same as verified ones.

Scheduled extraction

Automated collection where the data is structured and recurring, with monitoring so a broken scraper is noticed rather than silently returning nothing.

Cleaning and structuring

Output normalised into the schema you asked for, rather than delivered as whatever the sources happened to look like.

Source and access discipline

Collection done with attention to terms of use and access limits, because a blocked source mid-project is an avoidable failure.

Coverage reporting

What proportion of the target set was found and verified, reported honestly — a coverage number is more useful than a full-looking spreadsheet.

How the engagement runs

  1. 01

    Define and sample

    The schema, the target set and what counts as verified, tested on a sample so the definition survives contact with real sources.

  2. 02

    Route decision

    Manual, automated or mixed per field, with the reasoning — some fields are reliably scrapeable and some genuinely need judgement.

  3. 03

    Production

    Collection with verification, unconfirmed fields marked rather than dropped or guessed.

  4. 04

    Delivery and coverage report

    Data in your schema with a coverage and confidence report alongside it.

Why the coverage report matters

A full spreadsheet with no confidence information is a spreadsheet you cannot act on.

  • Sources recorded per field rather than per project
  • Unconfirmed marked as unconfirmed
  • An honest coverage figure instead of an apparently complete list

Platforms and tools we work in

The pod works inside your stack. These are the systems this team uses day to day — if yours is not listed, we will learn it.

  • PythonExtraction, cleaning and validation
  • ScrapyStructured crawling
  • PlaywrightDynamic page extraction
  • Excel / Google SheetsDelivery and QA
  • LinkedIn Sales NavigatorWhere a client licenses it
  • Apollo / ZoomInfoWhere a client licenses it
  • Google SearchPrimary source research
  • Companies House / registriesOfficial entity data
  • Your CRMDirect delivery where preferred
  • SQLDeduplication and reconciliation

Questions buyers ask

The things worth knowing before the first call.

Not sure this is the right scope?

Describe the workload in a sentence and we will point you at the right team — or tell you honestly if it is not something we should take on.

Ask us

It depends on the source, its terms and your jurisdiction, and we are not your lawyers. What we will do is tell you what a source's terms say and flag where a job looks likely to breach them rather than quietly proceed.

Reported per project from verification sampling rather than claimed in advance. A vendor quoting an accuracy figure before seeing your target set is quoting a marketing number.

Structured, recurring, high-volume data suits automation. Judgement-dependent fields — is this the right company, is this person still in role — do not. Most projects are a mix and we will say which fields fall where.

It gets reported rather than worked around aggressively. Escalating against a source's access controls risks the source for everyone and sometimes risks you.

Yes, with scoped access. Delivering into the system beats delivering a file that someone has to import and reconcile.

Under your instructions and your data protection position. Contact research involves personal data and the lawful basis for processing it is yours to establish — we will work to what you set rather than assume it.

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