dataclean.to

Import B2B Data from Multiple Sources

✓ Tested Works with CSV, Excel, Google Sheets → Ready to Import
By dataclean.to team · 2026-02-05

B2B data imports from CSV, Excel, JSON files, and API endpoints. Automated import processes handle various formats with encoding detection and structure parsing. This tool ingests business data from multiple sources for cleaning and transformation workflows.

The Problem

B2B companies receive data from partners, vendors, and systems in different formats. CRM exports use CSV, ERP systems output Excel, API integrations send JSON, and legacy systems create fixed-width text files. Manual data ingestion for each format takes excessive time and risks encoding errors. Automated import handles format detection, character encoding, delimiter identification, and structure parsing to ensure data loads correctly for processing. Data Integration Standards

How to Fix It

1
Select Import Source
Upload CSV, Excel, JSON files up to 50MB, or provide API endpoint URL. System detects file format and displays preview of data structure.
2
Configure Import Options
Set character encoding, CSV delimiter, header row detection, date format parsing, and column type inference for accurate data interpretation.
3
Map Data Structure
System identifies columns, suggests data types, and allows mapping to standard business fields like company name, address, contact information.
4
Validate Import Data
Preview imported data, check row counts, verify column types, and review any parsing warnings or errors before proceeding to cleaning.
5
Begin Data Processing
Import completes and data becomes available for cleaning, normalization, formatting, and export operations.

Frequently Asked Questions

What file formats are supported?
CSV, TSV, Excel (XLS, XLSX), JSON, JSON Lines, XML, and plain text with common delimiters. System auto-detects format from file extension and content.
How are encoding issues handled?
System detects UTF-8, Latin-1, Windows-1252, and other encodings. When detection fails, you can manually specify encoding to prevent character corruption.
Can I import from live APIs?
Yes, provide API endpoint URL with authentication if needed. System fetches JSON data and parses structure for import into processing workflow.

Example: Input → Output

nameemailphonecitystatus
Alice Johnsonalice@example.com+1-555-0101New Yorkactive
alice johnsonALICE@EXAMPLE.COM5550101new yorkActive

Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.

{
  "@context": "https://schema.org",
  "@type": "Dataset",
  "name": "Cleaned Customer Data",
  "description": "Normalized customer records with standardized fields",
  "keywords": ["customer data", "CRM", "contact list"]
}
💡 How it works: Consistent data formatting reduces import errors and makes your dataset compatible with downstream tools.

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