Data extraction services for documents, databases and public web sources

DOCUMENTS • DATABASES • PUBLIC WEB SOURCES

Data Extraction Services for Structured Business Information

Extract, organize and validate approved information from documents, databases, images and public web sources into structured records for analysis, migration and downstream workflows.

DATA EXTRACTION SERVICES

Turn Scattered Information Into Structured, Usable Data

Global Data Entry Solutions provides data extraction support for organizations that need approved information collected from documents, databases, images or public web sources and converted into structured records for business use.

Extract the Fields That Matter

Business information often exists across multiple sources and formats. The useful data may be buried inside PDFs, reports, image files, database exports, public websites or legacy documents. A reliable extraction project begins by defining exactly which fields should be collected and how they should appear in the final output.

Depending on the source and project rules, extraction can combine manual review, structured queries, OCR-assisted processing, field mapping and public-source research.

Structured Around Source Rules and Validation

Each workflow can be configured around approved source types, required fields, inclusion rules, validation criteria, duplicate handling and exception procedures. Unclear or unsupported records can be flagged for review rather than completed through assumption.

This service can be combined with web data extraction, data capture services, data cleansing or data processing services where a project needs broader collection, cleanup or transformation support.

WHAT WE CAN EXTRACT

Common Data Extraction Sources

Documents & PDFs

Extract approved fields from reports, forms, statements, contracts, PDFs and other structured or semi-structured documents.

Database Exports

Extract selected fields from approved database exports, tables or structured data sources using client-defined requirements.

Images & Scanned Files

Capture readable text, labels, identifiers or structured values from scanned documents and image-based records.

Public Web Sources

Collect publicly available business information from client-approved websites and online sources for structured research workflows.

Spreadsheets & Reports

Extract selected columns, records or values from Excel, CSV and other structured business files.

Legacy Records

Extract selected business information from archived files and older records before cleanup, migration or database updating.

COMMON USE CASES

Where Data Extraction Services Add Value

Database Migration Preparation

Extract selected legacy fields before mapping them into a new CRM, ERP, database or business application.

Research Dataset Creation

Collect structured company, product, market or other approved business information from defined public sources.

Document-to-Data Projects

Extract key fields from forms, reports and scanned records into spreadsheets or client-defined data templates.

Backlog Extraction

Process accumulated document or data volumes when internal teams need additional extraction capacity.

Database Enrichment Preparation

Extract relevant source information before matching or appending fields to an existing business dataset.

Recurring Extraction Workloads

Support repeat projects where source types, field definitions and output structures remain consistent over time.

PROCESS

A Controlled Data Extraction Workflow

01

Define

Confirm source types, target fields, inclusion rules and output requirements.

02

Access

Work with approved documents, databases, exports or public sources.

03

Extract

Capture the required fields using the agreed manual, query or OCR-assisted workflow.

04

Normalize

Standardize formats, field structure and approved reference values.

05

Validate

Review completeness, source consistency and unresolved exceptions.

06

Deliver

Return organized records and review files in the agreed format.

QUALITY CONTROL

What We Review Before Data Delivery

Required Field Completeness

Check that required fields are populated where the approved source contains the necessary information.

Source-to-Record Review

Compare extracted values with source records where visual or record-level validation is part of the workflow.

Format Consistency

Apply agreed rules to dates, numbers, categories, URLs, names and other structured values.

Duplicate Review

Flag potentially repeated records using client-defined identifiers or comparison logic.

Source Traceability

Include source references or URLs where the project requires reviewers to trace extracted data back to its origin.

Exception Handling

Separate unreadable, ambiguous or conflicting records rather than forcing unsupported values.

INPUT & OUTPUT

Flexible Sources and Structured Deliverables

Common Inputs

  • PDF and scanned documents
  • Excel and CSV files
  • Database exports
  • JPEG, PNG and image-based records
  • Client-approved public web sources
  • Archived or legacy business files

Typical Outputs

  • Excel spreadsheets
  • CSV or delimited files
  • Client-defined database templates
  • Source-reference columns
  • Structured research datasets
  • Exception and review-status files

SERVICE EXPLAINED

Data Extraction vs Data Capture vs Web Scraping

Data Extraction

Focuses on selecting and pulling defined information from documents, databases, files or approved web sources into a structured output.

Data Capture

Focuses mainly on converting information from paper, forms, images and scanned documents into digital records.

Web Scraping

Uses automated collection methods for public web information where permitted. It is a more specific technique than general data extraction and should follow source, access and usage requirements.

RELATED SERVICES

Related Extraction, Research and Processing Services

WHY OUTSOURCE DATA EXTRACTION

Add Capacity for Repetitive Source-to-Data Work

Data extraction can become labor-intensive when source volumes are large, formats vary or repeated validation is required. Outsourcing can add processing capacity while keeping field definitions, source rules and exception handling consistent.

  • Support large or recurring extraction volumes
  • Apply consistent field and source rules
  • Reduce repetitive document and database review work
  • Prepare structured datasets for downstream use
  • Separate unclear or conflicting records for review
  • Receive output in client-defined formats

PROJECT SETUP

Have Information to Extract?

Share representative samples, source types, approximate volume, required fields and preferred output format. We can review the requirement and discuss an appropriate extraction workflow.

Request a Project Discussion

FREQUENTLY ASKED QUESTIONS

Data Extraction Services FAQs

What are data extraction services?

Data extraction services collect defined information from approved documents, databases, images, files or public web sources and convert it into structured records.

What types of sources can be used?

Projects can use PDFs, documents, images, spreadsheets, database exports, archived files and client-approved public web sources.

Can you extract data from public websites?

Yes. Public web information can be collected where the project uses approved sources and follows applicable access and usage requirements.

Can extracted data be prepared for our database?

Yes. Output can be aligned to client-defined Excel, CSV, database or import templates where the required field structure is supplied in advance.

Can extraction include OCR?

Yes. OCR-assisted processing can be used for readable scanned documents and images, with manual review where needed.

How are unclear or conflicting records handled?

Unreadable, incomplete or ambiguous records can be placed in an exception queue rather than being completed through assumption.

What information do you need to review a project?

Useful details include source type, approximate volume, required fields, approved sources, target format, validation rules and exception-handling instructions.

CONTROLLED SOURCE-TO-DATA EXTRACTION

Defined Fields, Source Rules and Structured Delivery

Our goal is to make data extraction easier to manage by following agreed field definitions, preserving source traceability where required and separating exceptions for review.

CONTACT US

Discuss Your Data Extraction Requirement

Tell us the source type, approximate volume, required fields and target output. Our team can review the requirement and discuss the next step.

Address: Sarkhej - Gandhinagar Hwy, Ahmedabad, 382470 India

Phone: +91 79842 29600
Email: info@globaldataentrysolutions.com

Request a Project Discussion

Talk to us about document extraction, database extraction, public-source research, OCR-assisted extraction or backlog processing.

Contact Our Team

ABOUT

Global Data Entry Solutions provides structured data entry, processing, conversion, research and document outsourcing support for businesses worldwide. Learn more.

Phone: +91 79842 29600

Email: info@globaldataentrysolutions.com

GET IN TOUCH

Discuss a new data-extraction, research or business-processing project with our team.

info@globaldataentrysolutions.com

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