How to Scrape Pinterest with Apify (2026 Guide)

Quick answer: can I scrape Pinterest with Apify?

Yes. Search for "Pinterest Scraper" in the Apify Store, configure the input (keywords, board URLs, or profile URLs), run the Actor, and download structured data: pin images, descriptions, links, board names, save counts, and profile data. No coding required.

What data can you extract from Pinterest?

The Pinterest Scraper extracts several data types:

• Pins by keyword: Search results for a keyword. Each pin includes image URL, title, description, destination link, board name, and save count.
• Board data: All pins from a specific board. Useful for analyzing competitor content strategy and board organization.
• Profile data: All pins and boards from a specific Pinterest user. Includes follower count, board count, and pin count.
• Related keywords: Keywords related to your search term. Use for Pinterest SEO and content ideation.
• Trending pins: Currently trending pins on Pinterest. Use to catch visual trends early.
• Pin metrics: Save count and comment count per pin. Use to identify high-engagement content patterns.

Setting up the Pinterest Scraper

Here is the step-by-step setup:

1. Go to Apify Store and search for "Pinterest Scraper" — Go to Apify Store and search for "Pinterest Scraper"
2. Choose a scraper with 500+ users and recent updates — Choose a scraper with 500+ users and recent updates
3. Click "Try for free" to open the configuration — Click "Try for free" to open the configuration
4. Input type Choose "Search" for keyword-based scraping, "Board" for specific boards, or "Profile" for user profiles
5. Search keywords Enter 1-5 keywords (e.g., "marketing infographic", "social media template", "AI tools")
6. Max results Set 50-100 for testing, 500+ for production runs
7. Sort by Choose "Latest" for recent pins or "Top" for most saved pins
8. Click "Start" and wait for the run to complete (1-5 minutes depending on input size) — Click "Start" and wait for the run to complete (1-5 minutes depending on input size)
9. Download results as JSON, CSV, or Excel from the Dataset tab — Download results as JSON, CSV, or Excel from the Dataset tab

Using Pinterest data for marketing strategy

Here are 5 ways to use Pinterest scraping data for marketing:

• Content inspiration: Scrape top pins in your niche. Analyze which visual styles, titles, and descriptions get the most saves. Create similar content with your brand spin.
• Keyword research: Pinterest is a search engine. Extract related keywords and use them in your Pinterest titles, descriptions, and board names for SEO.
• Competitor analysis: Scrape competitor profiles to see their most popular pins, board organization, and posting frequency. Identify gaps in their strategy.
• Trend forecasting: Pinterest trends precede broader cultural trends by 3-6 months. Monitor rising pins to predict what will be popular next quarter.
• Product research: Search for product-related keywords. See which products get the most saves and clicks. Use this data for product development and sourcing.

Analyzing top-performing pins

After scraping, analyze the data to identify patterns in high-performing pins:

• Image style: Are top pins light or dark? Text-heavy or minimal? Portrait or square? Identify the visual style that resonates.
• Title patterns: Do top pins use numbers ("7 Tips for..."), questions ("How to..."), or statements? Replicate the pattern.
• Description length: What is the average description length of top pins? Pinterest descriptions should be 100-300 characters with keywords.
• Destination links: Where do top pins link to? Blog posts, product pages, or landing pages? Understand the content funnel.
• Board placement: Which boards do top pins belong to? Board names affect Pinterest SEO. Use similar board naming conventions.
• Posting time: When were top pins posted? Pinterest engagement peaks on weekends and evenings. Schedule your pins accordingly.

Automating Pinterest monitoring with schedules

Set up automated Pinterest monitoring:

• Weekly keyword scrape: Schedule the scraper to run weekly for your top 5 keywords. Track which new pins are rising.
• Competitor monitoring: Schedule weekly scrapes of competitor profiles. Track their new pins and board changes.
• Trend alerts: Set up a webhook to notify you when a new pin in your niche gets 1,000+ saves in its first week.
• Seasonal planning: Run monthly scrapes with seasonal keywords ("summer marketing ideas", "holiday campaign templates") to plan content ahead of seasons.
• Google Sheets logging: Use Zapier to append scraped data to a Google Sheet for historical analysis.

Pinterest scraping for e-commerce

Pinterest is a major product discovery platform. Use scraping for e-commerce:

• Product pins: Scrape pins related to your products. See how users describe and categorize them.
• Price monitoring: Some pins include pricing data. Track competitor pricing through Pinterest product pins.
• Category research: Scrape pins in your product category. Identify which product features and styles get the most saves.
• Influencer identification: Find Pinterest users with high save counts in your niche. These are potential influencer partners.
• Visual trends: Track which product colors, styles, and designs are trending. Use for product development and inventory planning.