From Raw Data to Analysis‑Ready

Transform Messy Data into Clean, Structured Datasets

Raw scraped data is rarely usable as‑is. We clean, normalize, deduplicate, and structure your data into consistent, reliable formats — ready for analysis, machine learning, or business intelligence.

Clean My Data How It Works
500M+
Records cleaned
99.9%
Accuracy rate
<48h
Turnaround
🧹 Data Transformation · Live Example
⚠️ RAW SCRAPED DATA
"Wireless Earbuds Pro" , $ 49.99
In Stock: 5
Rating: 4.5 out of 5 stars
Color: Black / White
Category: Electronics>>Audio
→
✅ CLEAN & STRUCTURED
{
"title": "Wireless Earbuds Pro",
"price": 49.99,
"currency": "USD",
"in_stock": true,
"stock_qty": 5,
"rating": 4.5,
"colors": ["Black","White"],
"category": "Electronics/Audio"
}
🔹 Duplicates removed: 1,247 🔹 Null values filled: 892 🔹 Format normalized: 100%
Trusted by data‑driven organizations: Trifacta • Alteryx • Tableau • Databricks
Comprehensive Data Services
What We Do to Your Raw Data
End‑to‑end cleaning, normalization, and structuring for any dataset.
🧹

Data Cleaning

Remove duplicates, fix typos, handle missing values, and correct inconsistent formatting.

📐

Normalization & Standardization

Standardize dates, addresses, phone numbers, currencies, and units of measurement.

🔗

Deduplication & Merging

Identify and merge duplicate records across multiple sources or within a single dataset.

🏷️

Categorization & Tagging

Automatically classify text into predefined categories and extract key topics.

📊

Data Structuring

Convert unstructured text, HTML, or nested JSON into flat tables or relational schemas.

🔍

Validation & Quality Checks

Run automated rules to ensure data accuracy, completeness, and consistency.

Simple 4‑Step Process
Get Clean Data in Days
From raw files to analysis‑ready datasets — a streamlined workflow.
1

Upload Raw Data

Share your scraped files (CSV, JSON, Excel, etc.) or connect to our API.

2

Define Requirements

Specify desired output schema, formatting rules, and quality standards.

3

Clean & Structure

Our pipeline processes your data using automated and manual quality checks.

4

Receive Clean Data

Download your polished dataset or have it delivered via API/database.

Applications
How Clean Data Powers Your Business
📊

Business Intelligence & Reporting

Feed clean, consistent data into Tableau, Power BI, or Looker for accurate dashboards.

🤖

Machine Learning Training

Prepare high‑quality labeled datasets for training predictive models.

💰

Pricing & Competitive Analysis

Normalize competitor pricing data for apples‑to‑apples comparisons.

🏪

E‑Commerce Catalog Management

Standardize product attributes, categories, and descriptions across suppliers.

📈

Market Research

Merge and deduplicate survey responses or market data from multiple sources.

🗄️

Database Migration

Clean and restructure legacy data before loading into new systems.

Why MyDataScraper
Superior to Manual Cleaning and Spreadsheet Scripts
Capability
MyDataScraper
Manual / Excel
Handles millions of records
✓
– (row limits)
Complex deduplication logic
✓
– (basic only)
Custom normalization rules
✓
–
Automated quality validation
✓
– (manual checks)
Handles unstructured text/HTML
✓
–
Scalable & repeatable
✓
– (one‑off effort)
Dedicated data quality specialist
✓
–
Pricing
Flexible Plans for Data Cleaning & Structuring
Scale based on data volume and complexity.
Starter
$299/project

For small datasets up to 100K rows.

  • Up to 100,000 records
  • Basic cleaning & dedupe
  • Standard formatting
  • CSV / Excel output
  • 7‑day turnaround
  • Email support
Most Popular
Professional
$999/mo

For recurring data cleaning needs.

  • Up to 1M records/month
  • Advanced normalization
  • Custom business rules
  • JSON / SQL / DB push
  • 3‑day turnaround
  • Slack priority support
  • Quality report included
Enterprise
Custom

For large‑scale, ongoing data pipelines.

  • Unlimited records
  • Real‑time cleaning API
  • Custom ETL pipelines
  • Dedicated data engineer
  • 24‑hour turnaround
  • 99.9% SLA
  • White‑label service

All plans include a sample output for approval. Talk to sales for custom volumes or one‑time projects.

FAQ
Frequently Asked Questions
What types of data cleaning do you perform? +
We handle deduplication, missing value imputation, outlier detection, formatting standardization (dates, phones, addresses), text normalization, and categorical mapping.
What file formats do you accept and deliver? +
We accept CSV, JSON, Excel, Parquet, and raw text/HTML. We deliver in your preferred format: CSV, JSON, Excel, SQL dumps, or direct to database (PostgreSQL, BigQuery, Snowflake).
How do you handle data privacy and security? +
All data is encrypted in transit and at rest. We sign NDAs and can work within your secure environment (VPC, on‑prem) for Enterprise clients. We never retain your data after project completion unless specified.
Can you automate the cleaning process for recurring data? +
Yes. For recurring data flows, we build automated cleaning pipelines that run on schedule and deliver clean data directly to your systems.
Do you offer a sample or proof of concept? +
Yes. Send us a sample of your raw data (up to 1,000 rows), and we'll return a cleaned version for free so you can evaluate our quality.
What is the typical turnaround time? +
Starter projects: 5‑7 business days. Professional: 2‑3 business days. Enterprise: 24‑48 hours. Rush options available.
Client Success
Clean Data That Drives Results
★★★★★

"We had 2 million messy product records from web scraping. MyDataScraper cleaned, deduped, and categorized everything into a perfect catalog. Saved us months of manual work."

Jennifer T. · Data Manager, Retail Insights
★★★★★

"Their recurring data cleaning pipeline processes our weekly competitor data. The output is always consistent and ready for our pricing models. Highly recommend."

Mark R. · VP of Analytics, PriceIntel

Ready to Turn Raw Data into Gold?

Send us 1,000 rows of your raw data and get a free cleaned sample back within 48 hours.

Start Your Data Project

Complete the form below and our team will provide a custom quote within 24 hours.