Data collection services that arrive clean and on time Damco's agents gather the data, and a person checks every judgment call
Web data collection, from the source list to your file You name the data you need, and we bring it back in your format
Our data collection services, by the data you need Each one has its own page with how we run it
- AI data collectionText, images, audio, and video gathered to train and test your AI models.
- Automated data collectionSources checked on a schedule, with every change sent as clean data.
- Data miningPatterns, segments, and outliers found in the data you already hold.
- Healthcare data collectionProvider, facility, and drug data gathered from public health sources.
- Real estate data collectionListings, sales, permits, and owner records gathered and kept current.
- Retail and ecommerce data collectionPrices, stock, products, and reviews tracked across the stores you compete with.
- Social media data miningPosts, comments, and reviews about your brand gathered and sorted by topic.
- Web researchPeople research companies, contacts, and facts where a scraper can't.
- Web scrapingStructured data pulled from public websites, from one site to hundreds.
How our data collection process works Five steps, from your first list of fields to a file every week
- Week 1Agree the fieldsWe write down every field, its format, and where it comes from.
- Week 1Check the sourcesWe go through each site's terms with you and agree what's in scope.
- Week 2Run a sampleYou review a few hundred records before the full run starts.
- Every runCollect and checkAgents collect, and a person decides every record they flag.
- Every runDeliver and sign offOne named batch owner signs off each delivery and answers for it.
When outsourcing data collection makes sense And when a tool or another of our services fits better
A good fit when
- Your team spends days a month copying data from websites into spreadsheets
- You need the same sources checked every day or every week
- Some records need a person's judgment, so a scraper alone keeps getting them wrong
Look elsewhere when
- You need one list once and can buy it from a data vendor
- The data already sits in your systems and only needs cleaning
- You want personal data the source doesn't allow anyone to collect
What our data collection services cover Where the data comes from, how we check it, and how it reaches you
Online and offline data capture
Most of the data a business needs sits somewhere public: retailer sites, property portals, company registries, provider directories, and review sites. We collect it from the web, from PDFs and scanned documents, and from surveys you run online or on paper.
Every source goes on one list with the fields it gives you, how often it changes, and who owns it on our side. You see the list before anything is collected.
Agents do the volume, people make the judgment calls
AI agents visit each source, read the page, and capture the fields you asked for. When a record doesn't fit your rules, such as two products that might be the same or an address that looks wrong, the agent sends it to a person.
A trained reviewer decides each flagged record and fixes it. Each correction becomes an example the agents learn from, so fewer records need a person next time.
- Every field checked against the format you agreed
- Duplicates matched and merged before delivery
- A reason written down for every record a person changed
Data capture services for a wide range of industries
The method stays the same across industries. What changes is the source list and the rules a record has to pass before it reaches you.
- Competitor prices, products, stock, and reviews for retailers
- Listings, sales, appraisals, and owner records for real estate firms
- Provider, facility, and payer data for healthcare companies
- Filings, market data, and company profiles for financial firms
- Fares, room rates, and guest reviews for travel companies
- Institutions, programs, and course listings for education providers
- Campaign mentions and audience data for media and advertising teams
Surveys, forms, and offline data
Not all data lives on websites. We capture responses from online surveys in SurveyMonkey, Google Forms, and Zoho Survey, and from paper surveys, mail-in forms, and interviews.
Each response is entered against your codebook, and a person checks every answer the agents can't read or place.
Database building, verification, and appending
Collection is often the first step of a bigger job. We can build the database the data goes into, verify the records you already hold, and fill the gaps in them.
Those services have their own pages under Clean, complete records, and they run on the same people and checks as the collection.
How we keep collected data secure
We collect only the sites and fields you approve in writing, and we check each site's terms with you before the first run. Your data stays in the storage you choose, with access limited to the people on your project.
If a source holds personal data, we agree with you which fields may be kept and which are dropped at collection.
How data delivery works
You get the data in the format your team already uses: CSV, Excel, JSON, XML, or a direct load into your CRM, database, or data warehouse. Runs can be one-off, daily, weekly, or triggered when a source changes.
Each delivery comes with a short note: how many records, how many a person changed, and anything unusual about the sources.
Questions about data collection services What buyers ask us before they start
Why should companies outsource data collection?
Collecting data by hand takes your team's time away from the work only they can do. A data collection company already has the agents, the reviewers, and the checks in place, so it can start in a week and grow with the volume. You pay for finished records instead of building a team.
What kind of data do your teams collect?
Product prices and stock for retailers, listings and sales for real estate, provider and facility records for healthcare, and company and contact data for sales teams. We also collect text, images, and audio to train AI models. If it's on a public source, or in documents you send us, we can collect it.
How do you ensure the security of data during collection?
We collect only the sources and fields you approve, and access is limited to the people on your project. Data is stored where you choose. Where a source holds personal data, we agree with you up front which fields are kept.
How much does a data collection project cost?
We price per record or per source, so you pay for finished data rather than hours. The price depends on how many sources there are, how hard each one is to read, and how often it runs. We quote after a sample run, so you see the data before you commit.
How long does it take to start?
We start with a sample of a few hundred records, so you can check the fields before anything else runs. The full run starts once you've approved the sample and we've agreed the rules for the records that need a person. The number of sources and how hard each one is to read set the pace.
Tell us which data you need
Name the sources and fields. We'll reply with how we'd run the first collection and the price per record.