JSON to CSV Converter
Deprecated
Pricing
Pay per usage
JSON to CSV Converter
Deprecated
Solution to convert big JSON files to CSV/Excel in JS. Paste URL for the JSON into the input along with the name of the dataset to store the records. The actor uses the dataset to handle the conversion of the items by pushing them to the dataset, which is then downloaded.
0.0 (0)
Pricing
Pay per usage
3
Total users
109
Monthly users
1
Runs succeeded
>99%
Last modified
2 years ago
You can access the JSON to CSV Converter programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "mcpServers": { "local-actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "vaclavrut/bigjson2csv" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}Configure MCP server with JSON to CSV Converter
You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:
{ "mcpServers": { "remote-actors-mcp-server": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=vaclavrut/bigjson2csv", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other supported MCP client of your choice.
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.
