DATA SOLUTION
Turn Extracted Data Into Production-Ready APIs.
Convert extracted web data into APIs and integrations that can power applications and internal systems.
THE CHALLENGE
Getting reliable data APIs from the web is harder than it looks.
Expensive infrastructure
Running scraping infrastructure in-house means managing proxies, retries, storage, and monitoring continuously.
Brittle integrations
Applications break when source websites change, and every break becomes an engineering fire drill.
Schema drift
Without a stable response schema, downstream applications must be updated every time extraction logic changes.
Operational overhead
Authentication, rate limits, caching, and monitoring add significant surface area to maintain in-house.
Scaling pressure
Handling thousands of records, thousands of requests, or bursty traffic requires infrastructure most teams don't want to build.
Data quality blind spots
Without validation built in, bad records flow through to production systems before anyone notices.
THE MYDATASCRAPER APPROACH
From fragmented web pages to structured business intelligence.
MyDataScraper builds the extraction workflow, the response schema, the delivery layer, and the authentication behind your API — so your application consumes clean, structured data through a stable endpoint while we handle the complexity of keeping the underlying pipeline running as source websites change.
What you can build with Data APIs & Integrations.
REST APIs
Deliver structured data through REST endpoints designed around your application.
JSON delivery
Return clean JSON responses with consistent field names and data types.
Scheduled feeds
Push bulk updates to your systems on a schedule you define.
Database integration
Sync records directly into PostgreSQL, MySQL, MongoDB, or other databases.
Warehouse sync
Deliver data into BigQuery, Snowflake, Redshift, or your preferred warehouse.
Webhooks
Trigger downstream workflows when monitored datasets change.
Authentication
API key, bearer token, or IP allowlisting for secure access.
Custom endpoints
Design endpoints and query parameters around how your product consumes data.
Pagination & filtering
Support search, filtering, sorting, and pagination for large result sets.
Monitoring & uptime
Continuous monitoring with alerts on data freshness and endpoint health.
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.
WEB DATA SOURCES
- Websites
- Marketplaces
- Directories
INTERNAL SYSTEMS
- Your applications
- Your databases
- Your dashboards
ANALYTICS PLATFORMS
- BI tools
- Data warehouses
- Analytics platforms
DOWNSTREAM WORKFLOWS
- Webhooks
- Automation tools
- Notification systems
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.
Live search products
Power search, comparison, or discovery experiences with structured data.
Pricing engines
Feed dynamic pricing and revenue systems with refreshable pricing data.
BI dashboards
Stream structured data into Power BI, Looker, Tableau, or internal dashboards.
Data warehouses
Sync records into BigQuery, Snowflake, or Redshift for analytics.
CRM & ERP enrichment
Fill gaps in internal systems with verified extracted data.
Machine learning
Feed consistent training datasets into ML and AI pipelines.
Workflow automation
Trigger downstream actions when monitored data changes.
Bulk data delivery
Receive large scheduled feeds for analytics and reporting teams.
Built for teams across data-intensive industries.
API DELIVERY
Put data apis & integrations 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/products? category=headphones limit=50
{
"status": "200 OK",
"endpoint": "/api/products",
"records": 50,
"page": 1,
"data": [
{
"id": "prod_wh210_blk",
"name": "Wireless Headphones",
"brand": "Example Brand",
"category": "Electronics > Audio",
"price": 2499,
"rating": 4.5,
"availability": "in_stock",
"variants": [
"Black",
"White",
"Blue"
],
"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.
| ENDPOINT | METHOD | FORMAT | RESPONSE TIME | AUTH | RATE LIMIT |
|---|---|---|---|---|---|
| /api/products | GET | JSON | 142 ms | API key | 1,000 / min |
| /api/prices | GET | JSON | 118 ms | Bearer token | 500 / min |
| /api/properties | GET | JSON | 163 ms | API key | 500 / min |
| /api/travel | GET | JSON | 187 ms | Bearer token | 300 / min |
| /api/market-records | GET | JSON | 129 ms | API key | 1,000 / min |
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 APIs can you build?
REST APIs, JSON feeds, webhook-triggered workflows, and scheduled bulk feeds, depending on how your application consumes data.
Can I design custom endpoints?
Yes. Endpoints, query parameters, filtering, and pagination are designed around your application's requirements.
How is authentication handled?
API keys, bearer tokens, or IP allowlisting — selected per project based on your security requirements.
What response format do you use?
JSON by default, with CSV, Excel, and other formats available for bulk feeds and database integrations.
Can you deliver data to my database?
Yes. We support direct database integration with PostgreSQL, MySQL, MongoDB, and other common databases.
Can you sync into a data warehouse?
Yes. Deliveries can be configured for BigQuery, Snowflake, Redshift, or your preferred warehouse.
Do you support scheduled bulk feeds?
Yes. Bulk deliveries can run daily, weekly, or on custom schedules depending on your workflow.
Can you push data via webhooks?
Yes. Webhook-triggered workflows can notify your systems when monitored datasets change.
How do you handle scaling?
The infrastructure behind the API is managed by MyDataScraper, including caching, retries, and scaling for large result sets or bursty traffic.
Can you maintain the API when sources change?
Yes. The extraction workflow behind the API is maintained on our side, so your integration stays stable even when source websites change.
Can you provide documentation and examples?
Yes. Every API includes documentation, example requests, response samples, and error handling notes.
Can you provide a sample response?
Yes. Request a sample to review the structure, fields, and level of detail for your use case.
Build the Data APIs & Integrations 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.