Automated data collection that keeps running without your team Damco's agents check your sources on schedule and people review the exceptions

Tell us about the work How automated data capture works

Regulator notices, daily runIllustrated

Sources9 regulator websites

New today23 notices as XML

Sent for review4 unclear dates

Loaded intoYour CMS by 7 am

Automated data collection and transformation services From the raw page or file to structured data in your system

Collect web data on scheduleAgents check each source hourly, daily, or weekly and capture what changed.

Extract data from documentsInvoices, claims, purchase orders, and PDFs read into fields.

Clean and format the dataEvery field set to your format and schema before it's loaded.

Tag and structure itRaw content turned into tagged, schema-valid XML or JSON.

How automated data capture works Agents run the pipeline, and a person decides what they can't

SetupMap the sourcesWe list every source, its format, and how often it changes.
SetupAgree the schemaYou approve the fields, tags, and XML or JSON schema.
Every runCollect and transformAgents capture new data and convert it to your schema.
Every runReview the exceptionsA person decides each record that fails a rule or a check.
Every runLoad and reportData lands in your CRM, CMS, or database with a short run note.

When automated data collection is the right choice And when a one-off collection or web research fits better

A good fit when

The same sources need checking every day or every week
Your team rekeys data from sites or PDFs into your systems
You need the data in a fixed schema, such as XML for a content system

Look elsewhere when

You need one list once, which a single collection run covers
Each record needs a researcher to find it by hand
The source changes its layout faster than any rule could follow

Automated data collection services in detail What the pipeline does at each stage, and what you receive

Automated web data collection

Agents visit each website on the schedule you set, compare it with the last run, and capture what's new or changed. A price change, a new filing, or a removed listing arrives as a record, not as a page you have to read.

When a site changes its layout, the agent flags it and a person updates the rules the same day.

Accurate data extraction from documents

Much of the data you need arrives as files: invoices, purchase orders, claims, receipts, and scanned forms. Agents read each document with OCR and AI models and fill the fields you need.

Any field the agent isn't sure of goes to a person, who checks it against the document.

Data cleaning and formatting

Raw data rarely fits your system as it arrives. We set dates, currencies, names, and addresses to one format, remove duplicates, and fill gaps from the source where we can.

Data tagging and structured XML

For content systems and AI training, structure matters as much as the data. We tag each item with its metadata, link it to its source, and deliver schema-valid XML or JSON that loads without rework.

Metadata on every item, such as source, date, and topic
Links back to the original page or file
Validation against your schema before every load

Public and private data, in one pipeline

The same pipeline can take public web data, open datasets, and your own files from a document system. Everything comes out in one structure, ready for your CRM, CMS, or relational database.

Questions about automated data collection What buyers ask us before they start

What is automated data collection?

Automated data collection uses software to gather data from websites, documents, and systems without someone copying it by hand. At Damco, AI agents do the collecting and converting, and a person reviews every record the agents can't decide.

Is automated data collection accurate?

It's as accurate as the checks around it. Every record is tested against your rules, and any record that fails goes to a person before delivery. One named batch owner signs off each run.

Which formats can you deliver?

CSV, Excel, JSON, and XML to your schema, or a direct load into your CRM, CMS, or database. We agree the format and schema before the first run.

What happens when a website changes?

The agent notices that the page no longer matches the rules and stops that source rather than sending bad data. A person updates the rules, reruns the source, and notes the change in the run report.

How is automated data collection priced?

We price per record or per source, with a setup fee for each new source. You pay for data delivered, not for hours or software licenses.

The page aboveWeb data collection Next to itWeb scraping services From documentsData entry and documents

Tell us which sources you check by hand

Name the sites or files and how often they change. We'll reply with how we'd automate them and the price per record.