Dataset Deduplicator & Cleaner
Pricing
Pay per usage
Dataset Deduplicator & Cleaner
Remove duplicate rows from an Apify Dataset or inline JSON. Deduplicate by selected fields, trim strings, and write the cleaned rows to a new Dataset.
Dataset Deduplicator & Cleaner
Pricing
Pay per usage
Remove duplicate rows from an Apify Dataset or inline JSON. Deduplicate by selected fields, trim strings, and write the cleaned rows to a new Dataset.
Connect the Dataset Deduplicator & Cleaner Actor to an AI application through the Apify MCP server. MCP clients with OAuth support sign you in to Apify without an API token.
{ "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,starshaped_bullsnake/dataset-deduplicator-cleaner" } }}Add the configuration above to your project's .mcp.json file for Claude Code, then run /mcp in Claude Code to sign in to Apify. It connects to the hosted Apify MCP server with the Dataset Deduplicator & Cleaner Actor already loaded. Clients without OAuth support can authenticate with an Authorization: Bearer header carrying an API token from API & Integrations in Apify Console.
For other MCP clients, get a client-specific configuration with the Dataset Deduplicator & Cleaner Actor preconfigured at https://mcp.apify.com/?tools=fetch-actor-details,starshaped_bullsnake/dataset-deduplicator-cleaner.
You can connect to the Apify MCP server using an MCP client that supports Streamable HTTP.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.