DATA SOLUTION
Data Workflows Built Around Your Requirements.
For complex or specialized requirements that don't fit a predefined workflow.
THE CHALLENGE
Getting reliable custom data workflow from the web is harder than it looks.
Off-the-shelf tools don't fit
Standard scrapers fail when sources, fields, geography, or delivery requirements fall outside their templates.
Complex sources
Industry portals, registries, authenticated areas, and legacy websites require specialized extraction logic.
Multi-region and multi-language
Data spread across countries, regions, or languages needs regional logic and normalization.
Internal system alignment
Downstream systems often expect a specific schema that doesn't match generic output formats.
Feasibility uncertainty
Custom projects can stall at the proof-of-concept stage if the source cannot be reliably accessed.
Long-term maintenance
Custom pipelines need continuous monitoring and maintenance as sources evolve over time.
THE MYDATASCRAPER APPROACH
From fragmented web pages to structured business intelligence.
MyDataScraper designs, builds, and operates custom extraction workflows around your specific sources, fields, geography, update cadence, and delivery method — including region-specific logic, authenticated areas where permitted, and integration with internal systems — so you get a reliable data pipeline that matches your business, not the other way around.
What you can build with Custom Data Solutions.
Custom sources
Build workflows for unusual, industry-specific, or legacy websites.
Custom fields
Define schemas around the exact fields your business uses.
Custom geography
Support multi-country, multi-region, or multi-language collection.
Custom frequency
Define update cadences from one-time snapshots to near real-time refresh.
Custom delivery
Deliver through APIs, files, databases, warehouses, or proprietary systems.
Authenticated areas
Access member-only or portal-restricted sources where you have permitted access.
Conditional logic
Handle multi-step workflows with rules that depend on source responses.
Data enrichment
Combine extraction with matching, scoring, or external enrichment steps.
Schema alignment
Align output fields, types, and structure to your internal systems.
Long-term maintenance
Monitor, adjust, and maintain the workflow as sources evolve.
Build the dataset around your required fields.
| FIELD | EXAMPLE |
|---|
Available fields depend on the source website and specific use case.
Collect data from the sources your business depends on.
SPECIALIZED SOURCES
- Industry portals
- Registries
- Niche directories
MULTI-REGION SOURCES
- Regional websites
- Multi-language content
- Cross-border data
RESTRICTED SOURCES
- Member-only areas (with permitted access)
- Portal-restricted content
- Authenticated systems
INTERNAL SYSTEMS
- Custom applications
- ERP / PIM platforms
- Proprietary databases
Sources can be evaluated based on your target data and collection requirements. Not every website can be supported.
A data workflow designed around your requirements.
-
01
Define
Identify sources, fields, locations, filters, and update frequency.
-
02
Extract
Collect relevant information from the selected sources.
-
03
Structure
Normalize fields and standardize records.
-
04
Validate
Check records, remove duplicates, and apply quality controls.
-
05
Deliver
Send data through the selected delivery method.
Receive your data the way your systems need it.
How frequently can the data be updated?
One-Time
A single dataset delivered once.
Daily
Refreshed every day.
Weekly
Refreshed every week.
Scheduled
Custom intervals you define.
Near Real-Time*
Where the source and workflow allow.
*Update frequency depends on source availability, technical requirements, and the specific workflow.
What businesses use this data for.
Specialized datasets
Build datasets that don't exist in any off-the-shelf product.
Industry portals
Extract structured data from niche or vertical-specific platforms.
Regulatory research
Collect public records, registries, or compliance data at scale.
Multi-region collection
Normalize data across countries, regions, or languages.
Proprietary integrations
Feed custom internal systems and platforms with structured data.
Research & analysis
Support bespoke research questions with tailored datasets.
Workflow automation
Trigger downstream actions using custom data feeds.
Combination pipelines
Merge extraction with enrichment, matching, or scoring.
Built for teams across data-intensive industries.
API DELIVERY
Put custom data solutions directly into your application.
Access structured data through an API instead of maintaining extraction infrastructure yourself.
Illustrative example only. Endpoints and fields are defined per project.
GET /api/custom-records? project=example region=india
{
"workflow_id": "custom_example_001",
"source": "specialized_portal",
"region": "india",
"language": "en",
"record": {
"custom_field_1": "value",
"custom_field_2": 1234,
"custom_nested": {
"sub_field": "value"
}
},
"delivery": {
"channel": [
"api",
"database"
],
"schema_aligned": true
},
"captured_at": "2026-10-02T09:00:00Z"
}
See the data before you build around it.
Review a sample dataset to understand the structure, fields, and level of detail available for your use case.
| PROJECT | SOURCE TYPE | REGION | FIELDS | CADENCE | DELIVERY |
|---|---|---|---|---|---|
| Custom Project A | Industry portal | India | Bespoke | Daily | API + DB |
| Custom Project B | Registry | Global | Bespoke | Weekly | Warehouse |
| Custom Project C | Multi-region | APAC | Custom | Hourly | API |
| Custom Project D | Internal system | Global | Aligned | Daily | File + DB |
| Custom Project E | Specialized portal | Europe | Custom | Weekly | API + File |
More than extraction.
Data engineering
Design workflows around your actual data requirements.
Structured output
Receive consistent and analysis-ready datasets.
Custom workflows
Choose sources, fields, frequency, and delivery around your use case.
Ongoing data operations
Support recurring workflows as source structures and requirements evolve.
Frequently asked questions.
What types of custom projects do you take on?
Projects where sources, fields, geography, delivery, or workflow logic fall outside standard templates — including niche portals, registries, multi-region data, and internal system integrations.
How do you validate feasibility for a custom project?
We typically run a small proof-of-concept on a sample slice before committing to the full workflow, so feasibility is proven early.
Can you work with authenticated or member-only sources?
Where you have permitted access and credentials, we can build workflows that operate within those constraints. We do not circumvent authentication or access controls.
Can you align the output schema to my internal system?
Yes. Field names, data types, units, and structure can be aligned to match your downstream systems directly.
Do you support multi-language and multi-region collection?
Yes. Regional and language-specific logic can be built into the workflow, including normalization across regions.
Can you combine extraction with enrichment or scoring?
Yes. Combination pipelines can merge extraction with matching, enrichment, scoring, or other processing steps.
What delivery methods are available?
REST APIs, JSON or CSV files, database syncs, warehouse inserts, cloud storage drops, scheduled feeds, webhooks, or proprietary system integrations.
How do you handle long-term maintenance?
Custom workflows are monitored and maintained after launch — including adjustments when source structures change so the pipeline keeps running reliably.
Can you provide a proof-of-concept before full commitment?
Yes. Proof-of-concept runs are common for custom projects and help validate feasibility before full build.
What output formats are available?
JSON, CSV, Excel, database delivery, scheduled feeds, cloud storage, or a custom integration.
Can you provide a sample of the eventual dataset?
Yes. Request a sample to review the structure, fields, and level of detail for your use case.
How do you scope custom projects?
Scoping starts with a discovery conversation covering sources, fields, geography, cadence, delivery, and internal system requirements.
Build the Custom Data Solutions workflow your business needs.
Tell us what data you need, which sources matter, how often it should be updated, and how you want to receive it.