Data extraction services that hand you clean, structured fields From websites, profiles and files into the format your systems read
Extract the data you need from the sources you name Websites, listings, social profiles and files, delivered as one structured feed
How our data extraction process works Five steps, from the list of sources to a feed your systems load
- Before the first runAgree the sources and fieldsWe list every source, the fields to take from each, and the format you need.
- Sample runCheck a sample togetherWe extract a sample, and you check it against the source before the full run.
- Every runAgents extract, people decideAgents read each source and send anything ambiguous to a person, with the reason.
- Every runValidate and cleanRules check formats and duplicates, and the batch owner signs the run off.
- DeliveryLoad it where you workCSV, JSON or XML, or straight into Salesforce, SQL or Power BI.
When data extraction services are the right fit And when you need web scraping or document data entry instead
A good fit when
- The data you need is spread across many websites or files
- You need specific fields, not whole pages or whole documents
- Someone has to judge what counts, such as which company is the right match
Look elsewhere when
- You need the same sites watched every day: see web scraping services
- The source is your own paper or PDFs: see document and PDF data entry
- The data is already in one system and only needs cleaning
Our data extraction services in detail What each kind of extraction covers, and what you get back
Website data extraction
Product catalogs, price lists, directories and listing sites hold data you need in a form you can't use. Agents read each page, take the fields your guide names, and write them into one table.
Pages change, load slowly or hide data behind filters. When an agent can't be sure it has the right value, it sends the record to a person instead of guessing.
Prospect and lead data extraction
We start from your buyer: the industry, the company size, the region and the roles you sell to. Agents search the sources you approve and collect each company and contact with the page it came from.
A person decides the close calls, such as two companies with the same name in one city. You get a list your sales team can trust, with the source of every field.
Social media data extraction
For brand monitoring and sentiment work, we extract public posts, comments and profile details from LinkedIn, X, Meta and other networks. You choose the keywords, the topics and the accounts, and we keep only the fields you need.
Data extraction for AI and ML models
A model needs training data in a fixed shape. We gather text, images, audio and video from the sources you name and deliver them in your schema, ready for labeling or for training.
Market research data extraction
Research teams need data on markets, competitors and customers, often from hundreds of sources. We extract it to one standard, so a price from one site and a price from another can sit in the same column.
- Competitor prices and product ranges
- Reviews and ratings by product
- Store locations and opening dates
Turning unstructured data into a structured format
Most of the effort in data extraction is the last step: making messy data consistent. We set one format for dates, currencies, units and names, remove duplicates, and check every field against your rules before the batch owner signs it off.
Questions about data extraction services What buyers ask us before the first run
What is your data extraction process?
We agree the sources, the fields and the format, then run a sample you can check. Agents extract the full run, rules validate it, and a person decides every record the agents flag before the batch owner signs it off.
Can you integrate the extracted data into our existing systems?
Yes. We deliver CSV, JSON or XML files, or load the data straight into Salesforce, a SQL database or Power BI through the access you give us.
How do you ensure the quality of extracted data?
Every record passes rule checks for format, completeness and duplicates. Agents flag what they're unsure of, a person decides each flagged record, and the batch owner checks a sample of the rest before delivery.
How do you handle sensitive information during data extraction?
We extract only public data or data you have the right to use, and only the fields you need. Only the people on your job can open the work, and Damco signs your confidentiality agreement before the first run.
Can you scale data extraction as our needs change?
Yes. Agents carry the volume, so a run of 1,000 records and a run of 100,000 follow the same steps. We price per record, so the cost follows the work.
Tell us which data you need, and from where
Name the sources and the fields, and we'll show you how we'd run the first extraction.