Pinterest Export CSV: How to Download Pin Data to a Spreadsheet

Why Exporting Pinterest Data to CSV Matters

Pinterest is a visual platform, but the most actionable insights live in the metadata — the titles, descriptions, save counts, and trend signals that determine which content gets distributed. The problem is that Pinterest's interface isn't designed for data analysis. You can browse pins, but you can't sort, filter, or compare them systematically without exporting.

Here's what becomes possible once you have Pinterest data in a spreadsheet:

• Keyword database building: Export the top 50 pins for a keyword and extract every keyword phrase used in their titles and descriptions. This is faster and more accurate than manual note-taking.
• Competitor benchmarking: Track the Viral Score and save count of competitor pins weekly. A spreadsheet makes it easy to spot which competitors are accelerating and which are declining.
• Content performance reporting: Build clean reports for clients or team members showing which keywords are driving high-Viral-Score content in your niche.
• Trend tracking: By running the same keyword export weekly and comparing Viral Scores over time, you can map the rise and fall of trends in your space.
• SEO title modeling: Analyze the title structures of the top 20 pins for any keyword to identify the patterns that Pinterest's algorithm rewards.

What Data You Can Export

There are two distinct export sources for Pinterest data: PinRadar's keyword search export, and Pinterest's own native analytics export. They serve different purposes and contain different fields.

PinRadar CSV Export Fields

When you export a search result page from PinRadar, the CSV file contains the following fields for each visible pin:

• Pin Title: The full text of the pin's title field.
• Pin Description: The full pin description (up to 500 characters).
• Save Count: The total number of times this pin has been saved to boards.
• Viral Score: PinRadar's proprietary 0–100 score indicating current algorithmic distribution momentum.
• Destination URL: The external link the pin points to when clicked.
• Image URL: Direct URL to the pin's image (useful for visual reference).
• Pin URL: The Pinterest URL for the pin itself.

Pinterest Native Analytics Export Fields

Pinterest Business analytics allows a limited CSV export covering your own account's pins. The fields available are:

• Impressions (total and by placement: search, home feed, following)
• Saves, close-ups, link clicks
• Pin title and destination URL
• Date range covered

Notably absent from Pinterest's export: Viral Score, keyword data, competitor pins, and real-time engagement signals. For these, PinRadar's export is essential.

Step-by-Step: Exporting Pinterest Search Results to CSV with PinRadar

Using Your Exported CSV Data

Once you have the CSV file, open it in Google Sheets (File → Import) or Excel. Here's how to work with the data effectively:

Building a Keyword Research Database

Create a dedicated sheet for each keyword you're targeting. For each export, paste the data and add a "Date Exported" column. Over time, you build a time-series dataset showing how the top pins for each keyword evolve. Sort by Viral Score descending to immediately surface the pins with the most current algorithmic momentum.

Extract keyword patterns from the Title column using a simple text formula, or just read through the top 10–20 titles manually and note the phrases that appear repeatedly. These are your confirmed keywords. For a full keyword research workflow, see our guide on Pinterest keyword research for 2026.

Tracking Competitor Performance

To track a specific competitor, search their brand name or their most prominent product name in Pinterest. Export the results. In your spreadsheet, filter by the competitor's domain in the Destination URL column to isolate their pins. Track their Viral Scores week over week to understand which of their content is currently being pushed by the algorithm.

Content Gap Analysis

Export the top 50 pins for your target keyword. Sort by Viral Score descending. Look at the top 10 Destination URLs — what type of content do they link to? Blog posts? Product pages? Videos? If most high-Viral-Score pins link to a content format you haven't produced yet, that's a content gap worth filling.

Opening Your Pinterest CSV Download in Excel or Google Sheets

Your Pinterest CSV download is a standard comma-separated file. In Excel, go to File → Open and select the CSV. Excel launches the Text Import Wizard — choose "Delimited," select "Comma" as the delimiter, and confirm. In Google Sheets, go to File → Import, upload the file, and select "Comma" as the separator. Either way, your columns — Pin Title, Description, Save Count, Viral Score, Destination URL — populate cleanly across the sheet.

Once imported, freeze the header row and sort by the Viral Score column (descending) to immediately surface the pins with the strongest current algorithmic momentum. Add a filter to the Destination URL column to isolate pins from specific domains — useful for quickly separating your own content from competitors'.

Advanced Workflows for Power Users

Pinterest Ads to Excel: What Gets Exported and How

If you run Pinterest Ads and need your campaign data in Excel, Pinterest Ads Manager has a built-in export. Log into Ads Manager, navigate to the campaign, and click the download icon near the date picker. Pinterest exports impression, click, and spend data as a CSV that opens cleanly in Excel or Google Sheets — same delimiter, same workflow as PinRadar exports.

PinRadar complements paid campaign analysis by showing you the organic competitive landscape for the same keywords you're bidding on. Export the organic search results for your target ad keywords with PinRadar, then compare which organic pins have the highest Viral Scores. Those are the organic posts competing for the same attention you're paying for — understanding their format and structure gives you a better creative brief for your promoted pins.

Building an Automated Weekly Tracker in Google Sheets

For creators who want systematic tracking without manual work, you can build a lightweight tracker using Google Sheets' import functionality combined with weekly PinRadar exports:

1. Create a new Google Sheet with a tab for each target keyword.
2. Each Monday morning, run a PinRadar export for each keyword.
3. Paste the new export data into the corresponding tab with a date stamp column.
4. Use a pivot table or QUERY formula to surface pins whose Viral Score increased by more than 10 points week-over-week.

These rising Viral Score pins are your "early signals" — content gaining algorithmic momentum right now that you should study and model.

The above Google Sheets formula filters your exported data to show only pins with a Viral Score above 70, sorted by score descending. Replace the column references to match your actual CSV layout.

Combining PinRadar Export with Pinterest Native Analytics

The most powerful analysis combines PinRadar's competitive data with Pinterest's own account data. PinRadar tells you what's working in your niche broadly; Pinterest analytics tells you what's working for your specific account. When you see a keyword pattern dominating in PinRadar exports but underperforming in your own account data, you've identified a specific optimization opportunity.

For a broader comparison of Pinterest analytics tools and what each one exports, see our Pinterest analytics tool guide. If you're also evaluating alternative tools, our PinRadar vs PinClicks comparison covers the two most popular dedicated Pinterest research tools side by side. More guides are on the PinRadar blog.