Data Extraction Services for Clean, Structured Records
The data you need is often locked inside web pages and documents in formats no system can read. Our data extraction service captures the exact fields you want and turns them into clean, validated records ready for analysis.
Useful data is trapped in unstructured formats
Prices, specs, contacts and listings sit inside HTML, PDFs and inconsistent page layouts. Copying them by hand does not scale, and the formats vary from page to page. Without a reliable extraction process, teams spend more time gathering data than using it - and errors slip in.
Extraction that turns into clean records
This is a managed service - we capture the data points you specify and deliver them as a consistent, validated dataset.
Only the data points you specify, nothing extra.
From scoping to a validated pilot dataset.
Checks and dedupe applied before delivery.
A complete extraction workflow
One service covering the full path from raw source to clean dataset.
Field mapping
We define the exact data points to capture.
Source handling
Web pages and documents both supported.
Parsing
Layouts parsed into structured fields.
Normalization
Consistent units, formats and labels.
Validation
Rule checks catch bad records.
Deduplication
Duplicate records removed.
Scheduling
Run once or on a refresh cadence.
Delivery
Files, API, SFTP or cloud destination.
What US teams use data extraction for
Any time specific fields need to come out of pages or documents at scale.
Product data
Pull specs, prices and attributes for catalogs.
Contact data
Structure public business contact details.
Listing data
Extract listings into analyzable tables.
Document data
Turn PDFs and reports into structured rows.
Research datasets
Build clean datasets for analysis.
Migration prep
Extract data ahead of a system migration.
This is what your team receives
Clean, validated rows in your chosen schema. Fields are fully customized - example below.
data_extraction_sample.csv
● LIVE SCHEMA
| Record ID | Source | Name | Attribute | Value | Status | Captured (UTC) |
|---|---|---|---|---|---|---|
| EXT-0001 | Web | Item 1 | Price | $42.00 | Valid | 2026-05-22 06:00 |
| EXT-0002 | Item 2 | SKU | A-2291 | Valid | 2026-05-22 06:00 | |
| EXT-0003 | Web | Item 3 | Category | Type B | Valid | 2026-05-22 06:00 |
From raw source to clean dataset
A simple five-step path - and you talk directly to the engineers handling your extraction.
Define fields
Tell us the data points and sources.
We build
We set up parsing and validation rules.
Pilot dataset
You review a validated sample in 3-7 days.
Scale up
We run at full volume on your cadence.
We maintain
We monitor and adapt as sources change.
A US-focused data extraction partner
We treat extraction as a managed service on US response hours - clean records delivered, no scraping infrastructure for your team to run.
Fast pilots
A validated dataset within 3-7 days.
Accuracy first
Validation and dedupe on every run.
Decision-ready
Output structured for your systems.
Direct access
You talk to the engineers, not a queue.
About data extraction services
Data extraction is the process of capturing specific structured data points - prices, attributes, contacts, listings - from websites or documents and turning them into clean, consistent records you can analyze.
Yes. We extract structured data from web pages and from documents such as PDFs and listings, normalizing the output into one consistent schema.
Every extraction run passes through validation rules, format checks and deduplication before delivery, and we share the rules with you during scoping.
We extract only publicly available data and act as a technology and pipeline provider. Clients are responsible for ensuring their use of the data complies with applicable terms and laws, and we recommend appropriate legal review.
We deliver CSV, JSON and Parquet files, REST API endpoints, SFTP and cloud destinations, with a refresh cadence matched to your use case.
Tell us the fields you need extracted
Share your sources and target fields, and we'll return a sample dataset within 1 business day.