Pinterest Comments Scraper ✨📌💬

Pinterest Comments Scraper 💬✨

The Pinterest Comments Scraper allows you to easily scrape comments from a specific Pinterest post 🎨. Simply input the URL of the post and set the maximum number of comments to fetch 🔍.

Just enter the post URL and start extracting valuable comment data instantly!

Description 💬💯🎨

The Pinterest Comments Scraper is designed for those who want to gather and analyze the comments on Pinterest posts. Whether you're a marketer looking to monitor engagement or a researcher analyzing trends, this tool makes it easy to scrape comments from any Pinterest pin.

You can specify the maximum number of comments to scrape 🔢 and retrieve key details such as:

1Comment text ✏️
2Commenter’s username & profile link 👤
3Like count 👍
4Reply count 💬
5Whether the comment was edited ✍️
6And more!

🚨 Its power 💪 lies in its ability to scrape not just comments from posts (URLs with "/pins/"), but also all the comments from image links, photos, and Videos 📸🎥. And the best part? It works even when authentication 🔒 is required to access the content!

How many comments can you scrape? 🔍

You can scrape as many comments as needed, depending on the post and your specified filters.

Set the maximum number of comments to fetch based on your needs.

Key Features ✨

• Customizable Filters 🛠️: Easily define the post URL and the maximum number of comments you want to scrape.

• Detailed Comment Data 💬: Retrieve comment text, user information (name, username, profile image), like count, reply count, and more!

• Simple Setup 🔑: Just input the Pinterest post URL and the number of comments to scrape—then you’re ready to go.

• User Profile Information 👩‍🦰: Fetch the user's full name, profile link, and profile image to get detailed context about each commenter.

💸 Pricing

This scraper operates on a monthly subscription basis, priced at $9.90/month.

How to Use? 📲

Using the Pinterest Comments Scraper is straightforward and intuitive. Just follow these steps:

1Sign up for an account on Apify 🔑.
2Access the Pinterest Comments Scraper on the Apify platform 🌐.
3Enter the Post URL of the Pinterest pin from which you want to scrape comments 🚨.
4Set the maximum number of comments you want to retrieve 🔢.
5Hit "Start" and let the scraper collect the comments!
6After scraping, download the data in your preferred format: JSON 📄, CSV 📊, XML 📑, Excel 📈, or HTML 🌐.

That’s it! You’ll have all the comments from the Pinterest post ready for analysis.

Applications 🌟

🧑‍🎨 Content Research: Analyze popular comments and trends on specific Pinterest pins.

📈 Engagement Monitoring: Track comments, likes, and replies to gauge user interaction with your content.

📝 Social Media Insights: Understand user sentiment and opinions on specific Pinterest posts.

Input Example 📲 👌

The scraper accepts various parameters to customize the scraping process. Here’s how to structure your input JSON:

1{
2    post_url = "https://jp.pinterest.com/pin/1031113277171426444/",
3    maxcomments = 40
4}

Example Output from Pinterest Scraper 👌

Once the extraction is finished, the data will be stored in a dataset. You can download this data in various formats (JSON, CSV, XML, RSS, HTML Table).

1[
2  {
3      "comment_id": "5360070471943503313",
4      "text": "I have my 5 yr old Grandson Thursdays and Fridays and He is gonna LOVE THESE!!!! Thanks",
5      "created_at": "Tue, 23 Apr 2024 07:05:16 +0000",
6      "like_count": 2,
7      "reply_count": 0,
8      "is_edited": false,
9      "is_translatable": false,
10      "marked_helpful_by_me": false,
11      "highlighted_by_pin_owner": false,
12      "user_id": "792704109319885930",
13      "username": "Stephismomma89",
14      "profile_link": "https://www.pinterest.com/Stephismomma89/",
15      "user_full_name": "Anne M G",
16      "user_profile_image": "https://i.pinimg.com/75x75_RS/6a/86/42/6a864277e5ab3202c1489c3ac5c28e0d.jpg",
17      "user_is_private": false
18  },
19  {
20      "comment_id": "5349311739399821500",
21      "text": "I love the way the rocket flies and looks, no engine needed!",
22      "created_at": "Fri, 23 Feb 2024 22:02:32 +0000",
23      "like_count": 4,
24      "reply_count": 0,
25      "is_edited": false,
26      "is_translatable": false,
27      "marked_helpful_by_me": false,
28      "highlighted_by_pin_owner": false,
29      "user_id": "962222414043902419",
30      "username": "christianparry201",
31      "profile_link": "https://www.pinterest.com/christianparry201/",
32      "user_full_name": "Christian",
33      "user_profile_image": "N/A",
34      "user_is_private": true
35  }
36]

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Can I use this Pinterest Search API in Python? 🎓

Yes, you can use the Apify API with Python.

To access the Pinterest Search API with Python, use the apify-client PyPI package. You can find more details about the client in our Python Client documentation.

📫 Support

😊 Leave us a star ⭐ if you are satisfied with the product! 🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper 🌪️🌩️ Happy scraping! 😊