Scrape Pinterest Data Without Coding: 2025 Beginner’s Guide


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
Is It Legal to Scrape Pinterest?
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/
Subscribe to my newsletter
Read articles from ScrapeLead directly inside your inbox. Subscribe to the newsletter, and don't miss out.
Written by

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.