# Pinterest Comments Scraper - Low-cost💲🔥💬📌 (`delectable_incubator/pinterest-comments-scraper-low-cost`) Actor

💬📌🔍 Extract Pinterest comments from posts with ease. Collect comment text, usernames, profile details, engagement data, post URLs, and timestamps. Ideal for sentiment analysis, audience research, brand monitoring, influencer campaigns, content analysis, and marketing insights. 📊✨📝

- **URL**: https://apify.com/delectable\_incubator/pinterest-comments-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Social media, Videos, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

<p align="center">
<img src="https://i.ibb.co/jkNS73wX/readme.png" alt="Pinterest Comments Scraper" width="100%">
</p>

---

## 💬📌 Pinterest Comments Scraper | Bulk Pinterest Comment Extractor | Apify Actor

### 🚀 Extract Pinterest Comments in Seconds (No Code)

The **Pinterest Comments Scraper (Apify Actor)** is a powerful, scalable and **SEO-optimized Pinterest data extraction tool** designed to scrape comments from Pinterest Pins, Images and Videos at scale.

Extract valuable engagement data including comment text, usernames, profile information, likes, replies, timestamps and more.

Perfect for **social media monitoring, sentiment analysis, influencer research, audience intelligence, engagement tracking, AI datasets, competitor analysis and marketing research.**

---

### 🔥 Why This Pinterest Comments Scraper?

✔ Best Pinterest Comments Scraper on Apify

✔ Supports **Bulk URL Scraping (Multi-Pin Mode)**

✔ Scrape Pinterest Pin comments, image comments & video comments

✔ Works on large datasets

✔ Fast & scalable extraction engine

✔ Structured JSON / CSV / Excel output

✔ No coding required

✔ Ideal for marketers, agencies, researchers & data analysts

---

### 🎯 What This Scraper Does

This Apify Actor extracts **real-time Pinterest comments** directly from Pinterest content URLs.

#### 📌 Core Features

✅ Scrape Pinterest comments in bulk

✅ Bulk Pinterest URL support (SEO BOOST 🚀)

✅ Scrape comments from Pins

✅ Scrape comments from Pinterest Images

✅ Scrape comments from Pinterest Videos

✅ Extract commenter profile information

✅ Extract likes & reply counts

✅ Extract comment timestamps

✅ Extract edited status

✅ Automatic pagination handling

✅ High-speed extraction engine

✅ Export-ready datasets

---

### ⚡ Input Configuration (Simple & Powerful)

#### 🔥 BULK URL MODE (SEO BOOST 🚀)

````

{
"urls": \[
"https://www.pinterest.com/pin/1031113277171426444/",
"https://www.pinterest.com/pin/987654321012345678/",
"https://www.pinterest.com/pin/123456789876543210/"
],
"max\_comments": 500
}

```

---

### 📊 Extracted Pinterest Comment Data

| Field        | Description            |
| ------------ | ---------------------- |
| commentId    | Unique comment ID      |
| text         | Comment text           |
| createdAt    | Comment date           |
| likeCount    | Number of likes        |
| replyCount   | Number of replies      |
| isEdited     | Edited status          |
| username     | Commenter username     |
| fullName     | Commenter full name    |
| profileLink  | Pinterest profile URL  |
| profileImage | User avatar            |
| userId       | User ID                |
| isPrivate    | Account privacy status |

---

### 💡 Use Cases (High Demand SEO Keywords)

This Pinterest scraper is ideal for:

📌 Pinterest comment scraping

📊 Pinterest engagement analysis

💬 Social media sentiment analysis

📈 Pinterest audience research

🎯 Influencer marketing intelligence

🤖 AI training datasets

🧠 Consumer behavior analysis

📡 Brand monitoring

🏷️ Pinterest trend research

🚀 Bulk Pinterest data extraction

---

### 🚀 Key Features (Apify SEO Optimized)

⚡ Bulk URL scraping support

📌 Pinterest Pin comments extraction

🎥 Pinterest Video comments extraction

🖼️ Pinterest Image comments extraction

🧠 Structured datasets

📊 High-speed scraping engine

🔁 Automatic retry system

💾 Export-ready output

⚙️ Scalable cloud execution

🚀 Marketplace SEO optimized

---

### 📤 Output Formats Supported

✔ JSON

✔ CSV

✔ Excel XLSX

✔ XML

✔ HTML

✔ RSS

---

### 📦 Example Output

```

{
"commentId": "5360070471943503313",
"text": "I have my 5 yr old Grandson Thursdays and Fridays and He is gonna LOVE THESE!!!! Thanks",
"createdAt": "2024-04-23T07:05:16Z",
"likeCount": 2,
"replyCount": 0,
"isEdited": false,
"username": "Stephismomma89",
"fullName": "Anne M G",
"profileLink": "https://www.pinterest.com/Stephismomma89/",
"profileImage": "https://i.pinimg.com/avatar.jpg",
"userId": "792704109319885930",
"isPrivate": false
}

````

---

### 🔥 Why This is the BEST Pinterest Comments Scraper on Apify?

✔ Optimized for Apify search ranking

✔ Bulk URL support (rare feature)

✔ Extracts comments from Pins, Images & Videos

✔ High-performance scraping engine

✔ Enterprise-ready scalability

✔ Clean structured datasets

✔ Perfect for Pinterest analytics

✔ Built for large-scale data collection

---

### 💸 Pricing

This scraper runs on a **pay-per-result pricing model**.

You only pay for successfully extracted records.

💳 **Price:** $1.39 / 1,000 results

---

### ❓ FAQ (SEO BOOST SECTION)

#### Can I scrape multiple Pinterest URLs at once?

Yes. Bulk URL mode is fully supported.

#### Can I scrape comments from Pinterest videos?

Yes. Pinterest Video comments are supported.

#### Can I scrape comments from Pinterest images?

Yes. Pinterest Image comments are supported.

#### Is coding required?

No. This is a 100% no-code Apify Actor.

#### Can I export data?

Yes. JSON, CSV, Excel, XML, HTML and RSS exports are supported.

#### Is there a scraping limit?

No. You can scrape large volumes of Pinterest comments depending on available content.

---

### ⚠️ Disclaimer

This tool is not affiliated with Pinterest.

Pinterest is a trademark of its respective owners.

This project is an independent data extraction solution built for research, analytics and automation purposes.

---

### 🔗 Related Actors (Pinterest Intelligence Suite)

👉 Pinterest Profiles Scraper

👉 Pinterest Boards Scraper

👉 Pinterest Pins Scraper

👉 Pinterest Videos Scraper

👉 Pinterest Followers Scraper

👉 Pinterest Search Scraper

More PrimeScrape Pinterest tools coming soon 🚀

---

### 🌍 PrimeScrape Ecosystem

Built for:

📊 Data Extraction

📈 Market Intelligence

💬 Social Listening

🤖 AI Training Datasets

🎯 Influencer Research

🏷️ Trend Analysis

⚙️ Automation Pipelines

🚀 Large-Scale Web Scraping

---

### 📬 Support

⭐⭐⭐⭐⭐

Leave a review if you enjoy this scraper.

📩 Contact us for custom scraping solutions, enterprise datasets, automation pipelines and private actors.

Happy Scraping 🚀

# Actor input Schema

## `post_urls` (type: `array`):

One or more Pinterest pin URLs to scrape comments from. Each URL is scraped separately.
## `maxcomments` (type: `integer`):

The maximum number of comments to fetch per URL.

## Actor input object example

```json
{
  "post_urls": [
    "https://www.pinterest.com/pin/4011087181235843/"
  ],
  "maxcomments": 30
}
````

# Actor output Schema

## `overview` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "post_urls": [
        "https://www.pinterest.com/pin/4011087181235843/"
    ],
    "maxcomments": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/pinterest-comments-scraper-low-cost").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "post_urls": ["https://www.pinterest.com/pin/4011087181235843/"],
    "maxcomments": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/pinterest-comments-scraper-low-cost").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "post_urls": [
    "https://www.pinterest.com/pin/4011087181235843/"
  ],
  "maxcomments": 30
}' |
apify call delectable_incubator/pinterest-comments-scraper-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=delectable_incubator/pinterest-comments-scraper-low-cost",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Pinterest Comments Scraper - Low-cost💲🔥💬📌",
        "description": "💬📌🔍 Extract Pinterest comments from posts with ease. Collect comment text, usernames, profile details, engagement data, post URLs, and timestamps. Ideal for sentiment analysis, audience research, brand monitoring, influencer campaigns, content analysis, and marketing insights. 📊✨📝",
        "version": "0.0",
        "x-build-id": "Q312zxBJHCPmVTfzQ"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~pinterest-comments-scraper-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-pinterest-comments-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~pinterest-comments-scraper-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-pinterest-comments-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~pinterest-comments-scraper-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-pinterest-comments-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "post_urls"
                ],
                "properties": {
                    "post_urls": {
                        "title": "Post URLs 🚨 (each should contain /pin/)",
                        "type": "array",
                        "description": "One or more Pinterest pin URLs to scrape comments from. Each URL is scraped separately.",
                        "default": [
                            "https://www.pinterest.com/pin/4011087181235843/"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxcomments": {
                        "title": "Max comments per URL 📊",
                        "type": "integer",
                        "description": "The maximum number of comments to fetch per URL.",
                        "default": 30
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```