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Send a batch of HTTP API requests and save the answers

List HTTP requests (any method, headers and body) and get each status code, headers, timing and response body in a dataset. Handy for API checks, webhooks and no-code workflows. This example sends a GET, a JSON POST and an API call.

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HTTP Request Runner (bulk API calls, GET, POST, JSON)
HTTP Request Runner (bulk API calls, GET, POST, JSON)psypherz/http-request-runner
#
Label
Method
URL
+7 fields
Text
Number
Boolean
List
Object

Input

Requests
url:https://httpbin.org/get+2
label:simple GET+2
Max response size (MB):2
Timeout per request (seconds):30
Follow redirects:true
Parse JSON responses:true

Output fields

#
Label
Method
URL
Status
OK
Time (ms)
Content type
Bytes
Truncated
Error

How it works

Sign up on Apify or log in

The HTTP Request Runner (bulk API calls, GET, POST, JSON) Actor is ready to run with the inputs already set for "Send a batch of HTTP API requests and save the answers". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Send a batch of HTTP API requests and save the answers" task

The HTTP Request Runner (bulk API calls, GET, POST, JSON) Actor will start running based on the input automatically. You can also change all the input fields, like requests, max response size (mb), and more, to match your specific use case.

Receive the "Send a batch of HTTP API requests and save the answers" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as #, label, method, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Send a batch of HTTP API requests and save the answers" task via API.

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Connect "Send a batch of HTTP API requests and save the answers" with 100+ integrations, or run it via API or MCP.

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Frequently asked questions

The bulk HTTP request task supports GET, POST, PUT, PATCH, DELETE and HEAD, with custom headers and JSON or text bodies.