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Method 1: Bulk Add (Best for: Quick lists and manual data)

When to use: You have a list of items from another document, website, or need to add data manually.

How it works:

  • Copy your list from anywhere (spreadsheet, web page, document)
  • Paste directly into your Claro table
  • Claro automatically splits items by lines or delimiters

💡 Pro Tips:

  • Works with any delimiter (commas, tabs, new lines)
  • Copy entire columns from web tables—Claro handles the formatting
  • Perfect for product URLs, SKU lists, or contact information

✅ Great for:

  • Product URLs scraped from category pages
  • LinkedIn profile links from research
  • SKU lists from inventory systems

⚠️ Not ideal for:

  • Large datasets (>1,000 rows) → Use CSV import
  • Frequently changing data → Use API integration

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Method 2: CSV/XML Import (Best for: Structured data files)

When to use: You have existing spreadsheets, database exports, or structured data files.

How it works:

  • Upload your file (CSV, XML, Excel supported)
  • Map columns to match your table structure
  • Preview the import to verify formatting
  • Import and start enriching

File Limits:

  • Maximum 1,000 rows per file
  • Upload multiple files to the same table
  • Larger files: split into chunks or use the API

💡 Pro Tips:

  • Ensure column headers are clean and consistent
  • Test with a small sample first
  • Date columns should match your target format

✅ Great for:

  • Migrating legacy product catalogs
  • Daily inventory exports
  • Customer database dumps
  • Supplier information files

⚠️ Not ideal for:

  • Files with inconsistent headers (clean first)
  • Multi-gigabyte files (split or use API)
  • Real-time data feeds

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Method 3: Geolocation Search (Best for: Location-based data)

When to use: You need businesses, points of interest, or location data around specific areas.

How it works:

  • Enter a starting address
  • Set your search radius (km or miles)
  • Claro returns up to 5,000 POIs with coordinates and metadata

💡 Pro Tips:

  • Use a smaller radius in dense areas to avoid hitting limits
  • Chain with Classification to tag urban vs. rural locations
  • Combine with Web Enrichment for hours, ratings, and contact info

✅ Great for:

  • Building store locator datasets
  • Finding competitors in target markets
  • Enriching customer addresses with nearby amenities
  • Market research for retail expansion

⚠️ Not ideal for:

  • P.O. boxes or vague addresses
  • Areas with poor mapping coverage
  • Highly specific business types

Web-based entity discovery using plain keywords. Enter terms like “Antler Startup based in Berlin” or “sustainable fashion brands” to discover relevant entities for further enrichment.