# Export Pinterest Pin Comments and User Activity

**Use case:** 

Designed for Python developers and data engineers, this task extracts public Pinterest Pin comments and activity without login. Returns text, author, likeCount, commentId, and pinId records. Modify urls, domain, or maxComments to target different Pins or adjust extraction limits.

## Input

```json
{
  "mode": "commentsAndActivity",
  "urls": [
    "https://www.pinterest.com/pin/142567144448888376/"
  ],
  "domain": "www.pinterest.com",
  "maxComments": 50,
  "includeReplies": false,
  "maxRepliesPerComment": 0,
  "maxActivity": 3,
  "includePinSummary": true,
  "commentSort": "source",
  "minLikeCount": 0,
  "minHelpfulCount": 0,
  "sinceDate": "",
  "untilDate": ""
}
```

## Output

```json
{
  "recordType": {
    "label": "Record type",
    "format": "text"
  },
  "activityType": {
    "label": "Pinterest activity",
    "format": "text"
  },
  "pinId": {
    "label": "Pin ID",
    "format": "text"
  },
  "commentId": {
    "label": "Comment ID",
    "format": "text"
  },
  "isReply": {
    "label": "Reply",
    "format": "boolean"
  },
  "parentCommentId": {
    "label": "Parent comment",
    "format": "text"
  },
  "doneAt": {
    "label": "Activity date",
    "format": "text"
  },
  "text": {
    "label": "Comment",
    "format": "text"
  },
  "title": {
    "label": "Pin title",
    "format": "text"
  },
  "author": {
    "label": "Author",
    "format": "object"
  },
  "likeCount": {
    "label": "Likes",
    "format": "number"
  },
  "helpfulCount": {
    "label": "Helpful votes",
    "format": "number"
  },
  "sourceUrl": {
    "label": "Pin URL",
    "format": "link"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Pinterest Pin Comments & Activity Extractor Actor is ready to run with the inputs already set for "Export Pinterest Pin Comments and User Activity". [Sign up or log in](https://console.apify.com/create-task-from-example/fSpzijtj4EbOP6Qpn) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Export Pinterest Pin Comments and User Activity" task

The Pinterest Pin Comments & Activity Extractor Actor will start running based on the input automatically. You can also change all the input fields, like what to collect, pinterest pin urls or ids, and more, to match your specific use case.

### 3. Receive the "Export Pinterest Pin Comments and User Activity" 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 record type, pinterest activity, pin id, and more.

### 4. 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 "Export Pinterest Pin Comments and User Activity" task via API](https://apify.com/vexaloom-labs/pinterest-pin-comments-and-activity-extractor.md).

## FAQ

### How can I export Pinterest Pin comments with Python?

The Pinterest comments export task returns public comment text, author, likeCount, commentId, and pinId records; this run targets one Pin on www.Pinterest.com.

### What public Pinterest Pin comments and activity can I get?

Comment rows from the Pinterest comments export task can include replies, reactions, helpful votes, and Tried It activity when Pinterest exposes them.

### What fields are included in a Pinterest comments export?

The Pinterest comments export task dataset includes recordType, activityType, pinId, commentId, text, author, likeCount, helpfulCount, and sourceUrl, among other columns.

### Do I need a Pinterest login or API key to get public Pin comments?

The Pinterest comments export task uses public signed-out responses and does not require Pinterest login cookies.

### Can I use a Pinterest Pin ID instead of a URL?

You can give the Pinterest comments export task a public Pin URL or numeric Pin ID; this run uses Pin 142567144448888376.

### How do I get Pinterest Pin comments from another region?

Set the Pinterest comments export task's region to match the Pin link; this run uses www.Pinterest.com, and regional domains are available.

## About this Actor

This example demonstrates how to use [Pinterest Pin Comments & Activity Extractor](https://apify.com/vexaloom-labs/pinterest-pin-comments-and-activity-extractor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/vexaloom-labs/pinterest-pin-comments-and-activity-extractor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/vexaloom-labs/pinterest-pin-comments-and-activity-extractor.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).