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Pinterest Comment & Replies Scraper

Try for free

Pinterest Comment & Replies Scraper: Extract comments and replies from Pinterest pins with usernames, text, timestamps, pin URLs, and engagement data. Analyze audience feedback, discussions, content performance, and user interests for market research and social media insights.

Pricing

from $4.99 / 1,000 results

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API Empire

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14 days ago

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Configure MCP server with Pinterest Comment & Replies Scraper

The configuration above connects to the hosted Apify MCP server with the Pinterest Comment & Replies Scraper Actor already loaded. It uses OAuth, so your client opens a browser window to sign you in to Apify on first use. No API token is needed. Clients without OAuth support can authenticate with an Authorization: Bearer header carrying an API token from API & Integrations in Apify Console.

Get a ready-to-use configuration for your MCP client with the Pinterest Comment & Replies Scraper Actor preconfigured at https://mcp.apify.com/?tools=fetch-actor-details,api-empire/pinterest-comment-scraper.

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

Pinterest Comment Scraper (Flattened Bulk Export)

simpleapi/pinterest-comment-scraper

Pinterest Comment Scraper extracts comments from Pinterest pins with flattened bulk export, including comment text, user details, timestamps, replies, reactions, and pin URLs. Ideal for audience research, sentiment analysis, engagement tracking, content insights, and social media intelligence.

SimpleAPI

📌 Pinterest Comment Scraper

scrapier/pinterest-comment-scraper

Scrape Pinterest comments to extract comment text, usernames, profile URLs, timestamps, and engagement data. Analyze audience feedback, discover trends, monitor competitors, research customer sentiment, and collect valuable insights from Pinterest content for marketing and market research.

Scrapier

Pinterest Search Scraper

api-empire/pinterest-search-scraper

Pinterest Search Scraper: Extract Pinterest search results with pin titles, descriptions, images, URLs, creators, boards, and engagement data. Discover trending content, analyze keywords, research competitors, and uncover audience interests for Pinterest SEO and content strategy.

API Empire

5.0

Pinterest Boards Scraper (Pin Comments & Replies)

simpleapi/pinterest-boards-scraper

Collect actionable insights from Pinterest boards automatically. This scraper fetches board details, pins, images, videos, and engagement stats. Useful for competitive research, content strategy, and large-scale Pinterest data analysis.

SimpleAPI

Pinterest Comments Scraper - Low-cost💲🔥💬📌

delectable_incubator/pinterest-comments-scraper-low-cost

💬📌🔍 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. 📊✨📝

Prime Scrape

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Instagram Comments Scraper

scrapier/instagram-comments-scraper

Instagram Comments Scraper: Extract comments, usernames, comment text, timestamps, replies, likes, and engagement data from Instagram posts and Reels. Analyze audience feedback, user interests, sentiment, and conversations for social media research, content strategy, and competitor analysis.

Scrapier

1.0

Pinterest Search Scraper

shahidirfan/Pinterest-Search-Scraper

Scrape Pinterest search results with images, pins, titles, descriptions, boards, creators, URLs, engagement data, and more. Extract keyword-based Pinterest content for SEO, trend analysis, competitor research, market insights, and data collection at scale.

Shahid Irfan

5.0

Pinterest Comments Scraper

scrapeai/pinterest-comments-scraper

Scrape comments from Pinterest pins by pin URL. Extracts commenter username, comment text, likes, reply counts, threading, author profiles, and timestamps for sentiment analysis and engagement monitoring.