How to post pins via API: Pinterest publishing for automated workflows

Pinterest is the social platform developers forget to automate

When teams build automated publishing workflows, the platform list is predictable: Instagram, LinkedIn, X, maybe TikTok. Pinterest is an afterthought — or more often, not a thought at all.

This is a mistake, especially for e-commerce companies and content creators.

Pinterest is not a social network in the way Instagram or X are. It is a visual search engine. Users come to Pinterest to find things — products, recipes, design ideas, tutorials. Pins surface in search results for months or years after publishing. A pin you create today can drive traffic in 2028.

That search-driven longevity makes Pinterest uniquely suited to automated publishing. Unlike platforms where content has a 24-hour shelf life, every pin you publish is a permanent search result. Automation scales that compounding effect.

And yet, Pinterest’s API has only 300 monthly searches in the US. The competition for ranking on Pinterest-related keywords is minimal. If you are building content about social media APIs, Pinterest is free traffic waiting to be claimed.

Why Pinterest matters for e-commerce

Pinterest’s user base has high purchase intent. According to Pinterest’s own data, 85% of weekly Pinners have purchased something based on pins they have seen. The platform is designed for discovery and intent — users are actively looking for products, not passively scrolling.

For e-commerce companies, this means Pinterest is a sales channel, not a brand awareness channel. A product pin with a link to your store is a direct path to purchase.

The automation use case follows naturally:

• New product added to your catalog → pin created automatically
• Product image updated → pin updated
• Seasonal campaign launches → batch of pins published to relevant boards
• Blog post published → pin created with the featured image and a link back

Each of these workflows is straightforward to automate via the Pinterest API, but most e-commerce teams do them manually — or skip Pinterest entirely.

How Pinterest’s API differs from other platforms

Pinterest’s API (v5) is simpler than most social platform APIs, but it has structural differences that affect how you design automated workflows.

Board-centric publishing. Every pin must be published to a board. There is no concept of a “feed post” that exists without a container. Before you can create a pin, you need to know which board it belongs to.

For manual publishing, this is intuitive — you pick a board when you pin. For automated workflows, it means your pipeline needs board selection logic. Do you publish all product pins to one board? Do you categorize by product type? Do you create boards programmatically?

The API supports both listing existing boards (GET /v5/boards) and creating new ones (POST /v5/boards). For automation, the practical approach is to map your content categories to boards during setup and reference board IDs in your publishing logic.

Link-first content. Pinterest pins are designed to link somewhere. The link field on a pin drives traffic to your website when users click through. Unlike Instagram (where links in captions are not clickable) or LinkedIn (where link posts get deprioritized by the algorithm), Pinterest actively encourages outbound links.

For e-commerce automation, this means every pin should include a product URL. The combination of a product image, a description with relevant keywords, and a link to the product page is the entire Pinterest SEO strategy.

Image-first, not text-first. Pinterest does not have text-only posts. Every pin needs an image or video. Your automation pipeline needs to handle media for every publish — there is no fallback to a text-only post when no image is available.

Pin descriptions are search queries. Pinterest’s search engine indexes pin titles and descriptions. The text you publish is not a social caption — it is SEO copy. Keywords in your pin description directly affect whether the pin surfaces in search results.

For automated workflows pulling from a product catalog, this means the product title and description need to be formatted for Pinterest search, not for your website. A product named “Merino Wool Crew Neck Sweater - Navy” on your site might need to be “Navy merino wool sweater for men | crew neck | winter essentials” on Pinterest.

The API workflow for automated pin creation

Creating a pin via the Pinterest API is a single POST request for images:

curl -X POST "https://api.pinterest.com/v5/pins" \
     -H "Authorization: Bearer ACCESS_TOKEN" \
     -H "Content-Type: application/json" \
     -d '{
       "board_id": "1234567890",
       "title": "Navy merino wool sweater | Crew neck winter essential",
       "description": "Lightweight merino wool sweater in navy. Breathable, warm, and built to last through multiple seasons.",
       "link": "https://example.com/products/merino-wool-sweater-navy",
       "media_source": {
         "source_type": "image_url",
         "url": "https://example.com/images/sweater-navy.jpg"
       }
     }'

For image pins, this is a single request. No multi-step upload, no container creation, no status polling. The image URL must be publicly accessible, and the pin is created immediately.

Carousel pins (2–5 images) use source_type: multiple_image_urls with an array of image URLs. Also a single request.

Video pins require a multi-step flow: register the upload, POST the file to S3, poll for processing completion, then create the pin referencing the media_id. The Pinterest API reference covers the complete video upload flow.

For most e-commerce automation, image pins are the primary format. Product photos are already available in your catalog, and single-image pins are the simplest to automate at scale.

Building a product catalog pipeline

The most valuable Pinterest automation for e-commerce is syncing your product catalog to pins. Here is what the architecture looks like:

Source: Your product database, Shopify catalog, WooCommerce store, or any system with product data (title, description, images, URL, category).

Transform: Adapt product data for Pinterest:

• Map product categories to Pinterest boards
• Rewrite titles for Pinterest search (include keywords, keep under 100 characters)
• Rewrite descriptions for discovery (include keywords, keep under 800 characters)
• Select the best product image (vertical images perform better on Pinterest — 2:3 ratio)

Publish: Create pins via the API, one per product or product variant.

Monitor: Track pin performance via the Analytics API. Identify which products get saves and clicks. Feed that data back into which products to promote more.

The transform step is where most of the value lives. A product catalog dumped directly to Pinterest without optimization will underperform. Titles need keywords. Descriptions need search-friendly copy. Images need the right aspect ratio.

For teams using an LLM in their content pipeline, Pinterest-specific prompting is worth the effort. A prompt like “Rewrite this product description for Pinterest SEO. Include relevant search keywords. Keep it under 500 characters. Focus on what the product is and who it is for” produces measurably better pin descriptions than using the product description verbatim.

Rich pins and structured data

Pinterest supports rich pins that automatically pull metadata from your website’s structured data. For e-commerce, product rich pins display real-time pricing, availability, and a direct link to your store.

Rich pins work by reading Open Graph and Schema.org markup from your product pages. If your site has product structured data (which it should for Google Shopping), Pinterest will use it automatically once you validate your domain.

The connection to API automation: even if you create pins via the API with manual descriptions, rich pins will override the price and availability fields with live data from your site. This means your pins stay current as prices change — but it also means the API description and the rich pin metadata can conflict if they are out of sync.

For automated workflows, the practical approach is to let rich pins handle pricing and availability while using the API for content creation, board management, and publishing cadence.

Seasonal and campaign automation

Pinterest’s search-driven nature means timing matters differently than on other platforms. Pinterest users start searching for seasonal content 2–3 months before the event:

• Summer fashion searches peak in March–April
• Holiday gift searches start in September
• Back-to-school peaks in June
• Wedding season planning starts in January

For automated workflows, this means your Pinterest publishing cadence should lead your other platforms by months. A pin published in March for summer products has three months to accumulate saves and search ranking before the peak buying period.

Campaign automation for Pinterest looks like:

1. Pre-schedule seasonal pins 60–90 days before the relevant period
2. Publish 5–15 pins per board per week (Pinterest’s recommended cadence)
3. Vary images across pins for the same product to increase search surface area
4. Monitor which pins gain traction and create variations of top performers

This cadence is impractical to maintain manually across multiple boards and product categories. Automation makes it sustainable.

Publishing to Pinterest through Postproxy

Postproxy handles Pinterest’s OAuth flow, board management, and media upload process. One request creates a pin alongside posts on other platforms:

curl -X POST "https://api.postproxy.dev/api/posts" \
     -H "Authorization: Bearer YOUR_API_KEY" \
     -H "Content-Type: application/json" \
     -d '{
       "post": {
         "body": "Navy merino wool sweater | Lightweight, breathable, built for layering"
       },
       "profiles": ["pinterest", "instagram", "facebook"],
       "media": ["https://example.com/images/sweater-navy.jpg"],
       "platforms": {
         "pinterest": {
           "board_id": "BOARD_ID"
         },
         "facebook": {
           "page_id": "PAGE_ID"
         }
       }
     }'

One request. Three platforms. Postproxy handles the platform-specific differences:

• Board selection — Postproxy manages board mapping for your Pinterest account
• Image handling — Direct URL pins for images, multi-step upload for videos
• Carousel support — Multiple images become a carousel pin on Pinterest and a carousel post on Instagram
• Token management — Pinterest tokens last 30 days; Postproxy refreshes them automatically
• Rate limit pacing — Postproxy monitors Pinterest’s per-app limits and queues requests as needed

For e-commerce teams publishing product content across platforms, the Pinterest-specific optimizations — keyword-rich descriptions, board categorization, seasonal scheduling — happen in your content pipeline. The API call that publishes the pin is the easy part. Postproxy makes sure it stays easy.

Pinterest is a long game

Most social platforms reward recency. A post from yesterday is gone from the feed. Pinterest rewards relevance. A pin from last year still surfaces in search results if it matches what someone is looking for.

This makes Pinterest the highest-ROI platform for automated publishing. Every pin you create is a permanent asset. The work you put into automation today compounds indefinitely.

For e-commerce companies, this is the argument that should settle the “should we bother with Pinterest” debate. The traffic is search-driven, the purchase intent is high, the API is straightforward, and the competition among developers building Pinterest automation is almost nonexistent.

Connect your Pinterest account and start publishing through the Postproxy API. For the complete API reference, see the Pinterest integration guide. For an overview of cross-platform publishing, start with the developer guide.