Scrape Pinterest Data Without Coding: 2025 Beginner’s Guide

ScrapeLeadScrapeLead
3 min read

Do you want to scrape Pinterest data without coding a single line? Whether you're a marketer, content creator, or business analyst, Pinterest contains a treasure trove of data, from popular pins to specific boards and audience engagement information. In this easy-to-follow tutorial, we will instruct you on how to scrape Pinterest data without coding in 2025 using trusted tools and responsible methods.

Why Scrape Pinterest Data?

Pinterest isn’t just a visual discovery platform; it’s a powerful source of market trends, product inspiration, and customer interests. Scraping Pinterest can help you:

  • Discover top-performing content in your niche

  • Monitor competitor boards and pins

  • Track engagement (likes, saves, comments)

  • Generate content ideas based on what’s trending

  • Identify influencers or brands in your domain

Pinterest's Terms of Service do not allow scraping without authorization. Nevertheless, utilizing no-code tools that obey fair use guidelines and scrape openly available data will keep you within the law. Always verify the compliance features of the tool and never scrape personally identifiable information.

Best No-Code Tools to Scrape Pinterest in 2025

Here are a few tools that allow you to extract Pinterest data without coding knowledge:

1. ScrapeLead

A drag-and-drop visual scraper ideal for beginners.

  • Scrape pins, boards, user profiles, keywords, and more

  • No-Code required

  • Prebuilt Pinterest templates

  • Export data to Excel, CSV, or Google Sheets

2. Apify

Cloud-based platform with Pinterest scrapers in their actor store.

  • No installation needed

  • Scrape by keyword, board, or user

  • API integration options are available

3. ParseHub

A visual data extraction tool with intelligent selection features.

  • Click-and-select UI

  • Works well for dynamic websites like Pinterest

  • Custom workflows and filters

4. Browse AI

This tool lets you “train” a bot by recording your actions on Pinterest.

  • Beginner-friendly interface

  • Schedule recurring scraping tasks

  • Integration with Google Sheets

How to Scrape Pinterest Data Without Coding – Step-by-Step

Let’s take ScrapeLead as an example to walk through the scraping process:

Step 1: Download ScrapeLead

Install the free version from ScrapeLead’s official website.

Step 2: Use a Pinterest Template

Launch the app and choose a Pinterest template like "Scrape Pinterest Pins by Keyword."

Step 3: Enter Your Search Term

Input your keyword (e.g., "home office decor") to target specific content.

Step 4: Run and Export

Start the scraping task and export your data in CSV, Excel, or JSON format.

What Data Can You Scrape from Pinterest?

Using no-code tools, you can collect the following:

  • Pin titles and descriptions

  • Image URLs

  • Number of saves and likes

  • Usernames and board names

  • Timestamps and categories

Use Cases for Pinterest Scraped Data

  • Content Marketing: Create content based on popular pins

  • Trend Analysis: Monitor emerging trends in your industry

  • E-commerce: Find product ideas and design inspirations

  • Competitor Research: Track what others in your space are pinning

Final Thoughts

Pinterest scraping in 2025 does not involve tech or coding expertise. Thanks to no-code scraping solutions, you can fetch useful information in minutes, which is great news for novices, marketers, and small businesses. Just don't forget to operate within the boundaries of ethics and responsibly utilize the information.

Happy scraping!

Would you like a ready-to-use Pinterest scraping template for any of the tools above?

Know More >> https://scrapelead.io/blog/scrape-pinterest-data-without-coding-2025-beginners-guide/

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ScrapeLead
ScrapeLead

Scrape Any Website and Connect With Your Popular Apps It’s easy to connect your data to thousands of apps, including Google Sheets and Airtable. You can utilize Zapier, http://scrapelead.io’s API, and more for smooth data sharing and integration across multiple platforms.