# Product Hunt integrations: posts and collections

> Product Hunt is a community site where makers launch new products and people upvote, comment on, and collect the ones they like.

**Canonical page:** https://tray.ai/connectors/product-hunt-integrations/
**Categories:** Marketing
**Connects through:** HTTP Connector

## Overview

Product Hunt is a community site where makers launch new products and people upvote, comment on, and collect the ones they like. Tray.ai connects to Product Hunt through the HTTP Connector, so your workflows can call the Product Hunt API alongside the rest of your stack. API access comes through Product Hunt's partner program or API plan, so you need approved credentials first.

## Use cases

### Posts

Read posts in Product Hunt from any Tray.ai workflow. The Product Hunt API covers calls such as get a post and list posts.

- Get a post
- List posts

### Collections

Read collections in Product Hunt from any Tray.ai workflow. The Product Hunt API covers calls such as get a collection and list collections.

- Get a collection
- List collections

### Topics

Read topics in Product Hunt from any Tray.ai workflow. The Product Hunt API covers calls such as get a topic and list topics.

- Get a topic
- List topics

### Users

Read users in Product Hunt from any Tray.ai workflow. The Product Hunt API covers calls such as get a user and follow a user.

- Get a user
- Follow a user
- Unfollow a user

## Challenges Tray.ai solves

### Keeping Product Hunt credentials out of logs

A raw API call usually means pasting a key or token into the request, where it ends up in step inputs, logs, and screenshots.

**How Tray.ai helps:** Store Product Hunt credentials once as a Tray.ai authentication and reference them from the HTTP Connector. Tray.ai masks authentication values in logs, so the secret never shows up in a step's input or output.

### Going from the Product Hunt API docs to a working call

Translating an example request from API docs into a workflow step means copying the method, URL, headers, and body by hand.

**How Tray.ai helps:** Paste a cURL example from the Product Hunt API docs into the HTTP Connector and Tray.ai fills in the method, URL, headers, and body for you.

### Handling files and non-JSON responses

Not every API answers in JSON. Some return XML, files, or binary data, or expect a multipart upload.

**How Tray.ai helps:** The HTTP Connector parses JSON and XML responses, returns files you can pass to the next step, and sends multipart form data for uploads.

## Frequently asked questions

### Does Tray.ai connect to Product Hunt?

Yes. Tray.ai connects to Product Hunt through the HTTP Connector, which calls the Product Hunt API directly. Any call the Product Hunt API documents can run as a step in a Tray.ai workflow. API access comes through Product Hunt's partner program or API plan, so you need approved credentials first.

### How does Tray.ai authenticate with Product Hunt?

The Product Hunt API uses OAuth 2.0 and a bearer token. You save it once as a Tray.ai authentication, and the HTTP Connector adds it to every request.

### Can I get a dedicated Product Hunt connector?

Product Hunt runs through the HTTP Connector rather than a dedicated connector. If your team wants one, the Tray.ai connector SDK can build a dedicated Product Hunt connector from the Product Hunt API.

## Learn more

- Intelligent Integration: https://tray.ai/platform/intelligent-ipaas/
- Merlin Agent Builder: https://tray.ai/platform/merlin-agent-builder/
- Agent Gateway for MCP: https://tray.ai/platform/agent-gateway/
- Book a demo: https://tray.ai/contact/