Hoppscotch Batch Requests: Group, Share, and Export API Calls in One Go

Problem: Manual API Testing Is Slow and Repetitive

When working with complex APIs, you often need to fire a series of requests that depend on each other. Traditional tools let you send each call individually, copy headers, and paste IDs from one response into the next. That’s time‑consuming and error‑prone, especially when you’re iterating on a new feature or debugging a production issue.

Thesis: Hoppscotch’s Batch Request Feature Lets You Run Dependent Calls Together

Hoppscotch, the lightweight web‑based API client, added a Batch tab in its recent releases. The tab lets you group any number of requests, execute them sequentially or in parallel, and automatically wire the output of one request into the next using placeholders. The result is a single, consolidated response that you can inspect or export as JSON.

How Batch Requests Work

• Environment Variables – All requests in a batch share the same environment, so you can store base URLs, tokens, or dynamic values once.
• Variable Placeholders – Use the syntax {{response.N.body.field}} (where N is the request index starting at 0) to reference data from a previous request.
• Execution Mode – Choose Sequential (each request waits for the previous to finish) or Parallel (all start at once). Sequential is safer for rate‑limited APIs.
• Result Panel – After execution, a single panel lists every request’s status, headers, and body. You can export the panel as a JSON file that preserves the order.

Concrete Worked Example

We’ll build a two‑request batch against JSONPlaceholder, a public test API. The goal: fetch a post, then get its comments using the post’s id.

1. Create a new batch – In Hoppscotch, click the Batch tab and press New Batch.
2. Request 0: Get a Post
   • Method: GET
   • URL: https://jsonplaceholder.typicode.com/posts/1
   • No special headers needed.
3. Request 1: Get Comments for that Post
   • Method: GET
   • URL: https://jsonplaceholder.typicode.com/comments?postId={{response.0.body.id}}
   • The placeholder {{response.0.body.id}} pulls the id field from the first request’s body.
4. Run the batch – Click Run Batch. A progress bar appears, and the results panel shows two entries: one for the post, one for the comments.
5. Export – Use the Export button to download a JSON file. The file contains an array of two objects, each mirroring the individual responses.

When you open the exported JSON, you’ll see something like:

{
  "batchResponses": [
    {
      "status": 200,
      "body": {"userId":1,"id":1,"title":"...", ...}
    },
    {
      "status": 200,
      "body": [{"postId":1,"id":1,"name":"..."}, ...]
    }
  ]
}

Trade‑offs & Limitations

• Rate Limits – Running many requests in Parallel mode can quickly hit external API limits. Prefer Sequential or add delays between requests if you’re calling a production endpoint.
• Placeholder Accuracy – Placeholders are resolved at runtime. A typo (e.g., {{response.0.body.idd}}) will silently return undefined, causing the second request to fail without an obvious error. Inspect the Result Panel for missing fields.
• Version Dependency – The Batch tab appears only in Hoppscotch 4.0+ (or the latest nightly). If you’re on an older build, you’ll need to upgrade.
• Environment Scope – Variables set in the batch’s environment are not persisted to the global environment. If you need them later, copy them manually.

Actionable Next Steps

1. Upgrade to the latest Hoppscotch release to access the Batch tab.
2. Start with a small batch (2–3 requests) and test the placeholder syntax in the console.
3. Enable Sequential mode if your API enforces rate limits.
4. Export the batch results and load them into a JSON validator or your own analytics pipeline.
5. Automate the export by scripting Hoppscotch’s API (if available) or by using the desktop Electron version, which exposes a CLI for batch execution.

By grouping dependent calls, you reduce round‑trip time, avoid manual copy‑paste, and keep a single source of truth for test data. Hoppscotch’s Batch Requests bring a lightweight workflow approach that’s especially handy for exploratory testing or when you’re debugging a series of API calls.