Pinterest Pin Details Scraper — Saves & Repins

Paste a list of Pinterest pin addresses — or bare pin ids — and get the complete public record for every one of them as a clean, flat row: how often the pin was saved, repinned, shared, reacted to and commented on, where it sends people, every image size Pinterest publishes, the playable video file when there is one, the original creator as well as the account whose copy you pointed at, and the structured extras Pinterest has already worked out for you, such as a fully parsed recipe or the individual products inside a shoppable pin. No Pinterest account, no login, nothing to set up.

What you can do with it

• Score pins you already have. Feed in a list of pin links from a report, a spreadsheet or another actor and get real save, repin, share and comment figures next to each one.
• Find the creator behind a viral pin. Every row separates the person who originally published the pin from the account that saved the copy you looked at, with follower counts for both and the creator's verified website.
• Build a recipe dataset. Recipe pins come back with the dish name, prep/cook/total time, servings, diets, star rating, and an ingredient list already split into quantity, unit, name and supermarket aisle.
• Pull real prices out of shoppable pins. Collection and shop-the-look pins carry their individual products, each with price, currency, stock status and merchant.
• Collect video files. Video pins return a direct, playable video file plus its dimensions, duration and thumbnail — useful for archiving or creative analysis.
• Track outbound traffic. Destination link, tracked link, campaign-tagged link and the destination domain are all returned, so you can group pins by the site they drive traffic to.

What you get

One row per pin. Abridged real example:

{
  "type": "pin",
  "id": "38069559344973740",
  "url": "https://www.pinterest.com/pin/38069559344973740/",
  "inputUrl": "https://www.pinterest.com/pin/38069559344973740/",
  "title": "Rich and Moist Chocolate Cake (from scratch recipe)",
  "description": "Rich and Moist Chocolate Cake (from scratch recipe) - Baked Ambrosia",
  "altText": null,
  "dominantColor": "#837268",
  "createdAt": "2026-07-16T16:15:09.000Z",
  "domain": "bakedambrosia.com",
  "imageUrl": "https://i.pinimg.com/originals/fd/49/15/fd49150a45f56427ddc5da1da08861f4.jpg",
  "imageWidth": 1200,
  "imageHeight": 1680,
  "isVideo": false,
  "videoUrl": null,
  "saveCount": 9030,
  "repinCount": 36,
  "commentCount": 3,
  "shareCount": 4,
  "reactionCount": 357,
  "triedCount": 1,
  "boardName": "light dessert",
  "boardUrl": "https://www.pinterest.com/kyresserhea10/light-dessert/",
  "pinnerUsername": "kyresserhea10",
  "pinnerFullName": "mark atkinson",
  "pinnerFollowerCount": 76,
  "creatorUsername": "bakedambrosia",
  "creatorFullName": "Baked Ambrosia",
  "creatorFollowerCount": 15968,
  "creatorDomain": "bakedambrosia.com",
  "creatorDomainVerified": true,
  "pinnedByCreator": false,
  "isRepin": true,
  "isPromoted": false,
  "promotedBy": null,
  "hasRecipe": true,
  "hasProducts": false,
  "productCount": 0,
  "publisher": "Baked Ambrosia",
  "position": 1,
  "scrapedAt": "2026-08-04T10:00:00.000Z"
}

The row is abridged above: it also carries the full destination address in link, the tracked and campaign-tagged forms of it, every published image size in images, the reaction breakdown, and the board and creator identifiers listed in the output table below.

That same pin carries a fully parsed recipe object:

{
  "hasRecipe": true,
  "recipe": {
    "name": "Moist Chocolate Cake",
    "servings": "12",
    "servingsSummary": "Serves 12",
    "prepTimeMinutes": 15,
    "cookTimeMinutes": 30,
    "totalTimeMinutes": 45,
    "diets": ["Vegetarian"],
    "ratingValue": 5,
    "ratingCount": 80,
    "reviewCount": 10,
    "ingredientCount": 17,
    "ingredientCategories": ["Refrigerated", "Condiments", "Baking & Spices", "Dairy"],
    "ingredients": [
      { "name": "Eggs", "amount": "3", "quantity": 3, "unit": null, "category": "Refrigerated" },
      { "name": "Honey", "amount": "1/4 cup", "quantity": 0.25, "unit": "cup", "category": "Condiments" }
    ]
  }
}

A shoppable pin adds its products:

{
  "hasProducts": true,
  "productCount": 1,
  "pricedProductCount": 1,
  "products": [
    {
      "position": 1,
      "pinId": "872220652852770625",
      "productName": "Ripple Rotating Wall Lamp | Yedwo Design",
      "price": 199,
      "priceCurrency": "USD",
      "priceDisplay": "US$199.00",
      "inStock": true,
      "merchant": "YEDWO",
      "isActive": true
    }
  ]
}

Input reference

Field	Type	Default	Description
pins	list of text	two example pins	One pin per line. Full pin addresses and bare numeric pin ids both work, with or without the title inside the address. Required.
maxPins	number	100	Safety cap on how many pins this run scrapes. Maximum 5,000. Anything past the cap is left untouched and reported in the run log.
skipPromoted	true/false	false	Promoted pins are always flagged in the output. Turn this on to leave them out of the dataset entirely.
country	select	us	The country the run browses from. Pinterest tailors what it publishes by market, so pick one and keep it the same between runs you want to compare.

Output fields

Field	Type	What it is
id, url	text	The pin id and its address on Pinterest
inputUrl	text	Exactly what you pasted, so rows join back to your list
title, description	text	The pin's own caption, where it published one
altText	text	Image description, filled in automatically when a pin has no caption
category	text	Pinterest's own topic label for the pin
createdAt, createdAtRaw	date / text	When the pin was published
link, trackedLink, utmLink	text	Where the pin sends people, in three published forms
domain	text	The destination site, for grouping pins by where they point
imageUrl, imageWidth, imageHeight	text / number	The largest published image and its size
images	object	Every published image size, keyed by size name
isVideo, videoUrl, videoMp4Url, videoHlsUrl	true/false, text	Whether the pin is a video and the playable file for it
videoWidth, videoHeight, videoDurationMs, videoThumbnailUrl	number / text	Video dimensions, length and poster frame
saveCount	number	How many times the pin has been saved
repinCount	number	How many times it has been repinned
commentCount	number	How many comments it has
shareCount	number	How many times it has been shared
reactionCount, reactions	number / object	Total reactions and the breakdown by reaction type
triedCount	number	How many people marked the pin as tried
boardId, boardName, boardUrl, boardOwnerUsername	text	The board this copy of the pin lives on
pinnerUsername, pinnerFullName, pinnerFollowerCount, pinnerImageUrl	text / number	The account whose copy you scraped
creatorUsername, creatorFullName, creatorFollowerCount	text / number	The original creator or merchant behind the pin
creatorDomain, creatorDomainVerified, creatorIsVerifiedMerchant	text / true-false	The creator's claimed website and whether Pinterest verified it
pinnedByCreator	true/false	Whether the creator and the pinner are the same account
isRepin, isPromoted	true/false	Whether this copy is a repin, and whether it is a promoted pin
promotedBy	text	The advertiser behind a promoted pin, when there is one — usually a different account from whoever saved it
hasRecipe, recipe	true/false / object	Parsed recipe: name, times, servings, diets, rating, ingredients
hasProducts, productCount, pricedProductCount, products	true/false, number, list	Individual products inside a shoppable pin, with prices
collectionRootPinId	text	The parent pin of a shoppable collection
isShoppingPin, richPinType, publisher	true/false / text	Shopping tagging, the rich-pin kind, and the publishing site
hashtags	list of text	Hashtags in the pin's caption
dominantColor	text	The dominant colour of the image
source, position, scrapedAt	text / number / date	Where the row came from, its place in your list, and when it was collected

Pricing

This actor uses pay per event. You are charged $4.00 per 1,000 pins scraped — that is $0.004 for each pin that lands in the dataset. Nothing else is billed.

You are not charged for pins that turn out to be unavailable, for short links that could not be read, or for entries that were not recognised as a pin. Those are reported in the run log instead.

Worked example. You paste 250 pin addresses. 243 of them are live and land in the dataset, 5 have been deleted and 2 were typed wrongly. You pay 243 × $0.004 = $0.97.

Set maxPins to put a hard ceiling on any single run, and set a run budget in the Apify console if you want a spending cap on top of that.

Limits & what this actor cannot do

• Counts move. Saves, repins, comments and shares are a snapshot of the moment the pin was collected and keep changing afterwards. Re-run to refresh them.
• Shortened pin.it links cannot be read. A short link hides which pin it points to, and this actor will not guess. Open one in a browser once and paste the full pin address it lands on — those are skipped and listed in the run log rather than silently scraped as the wrong pin.
• Pins that are deleted, private or not public in the chosen country come back as unavailable, counted separately from genuine failures, instead of producing a blank row.
• Comment text is not published for logged-out visitors. You get the number of comments, never the comments themselves.
• Many pins have no caption of their own. Those arrive with an automatically generated image description in altText instead, so plan your text analysis around both fields.
• Prices only exist on shoppable pins. Ordinary pins — including plenty of genuine merchant pins — publish no price at all, so this actor deliberately offers no pin-level price column. Prices appear inside products for collection and shop-the-look pins, and pricedProductCount tells you how many of them actually carried one.
• Recipe details appear only where Pinterest has parsed a recipe. A pin can be labelled a recipe pin and still publish no ingredient list; hasRecipe is the honest signal.
• Board follower counts are not published on a pin. Scrape a board directly if you need them.
• Results are tailored to the country the run browses from, so the same pin can differ slightly between markets. Keep country fixed across runs you plan to compare.
• Promoted pins are flagged, and can be excluded entirely with one switch.
• Speed depends on the size of the job and on Pinterest's own response times. No fixed throughput is promised.
• Pinterest's terms govern automated access. You are responsible for using the data lawfully, in line with the source site's terms, and for handling any personal data in line with applicable privacy law.

FAQ

Do I need a Pinterest account? No. The actor only reads what Pinterest shows to the public, so there is nothing to connect and nothing to authorise.

Does it need my login or password? No. It never asks for one, and there is nowhere to enter one.

Can I schedule it? Yes. Schedule it in the Apify console like any other actor — a weekly run over the same list of pins gives you a clean engagement trend.

Is the data complete? It is complete for what Pinterest publishes publicly, which is a lot: engagement, media, destination, creator, recipes and product prices. It is not complete where Pinterest publishes nothing publicly — the text of comments, the list of people who saved a pin, and prices on ordinary non-shoppable pins are all outside what any logged-out visitor can see, so this actor does not pretend to return them.

Why is title empty on some pins? Because a lot of pins are published without a caption. When that happens, use altText, which carries an automatically generated description of the image and is present on almost every pin.

Can I paste a pin.it short link? Not directly. A short link does not say which pin it points to, and guessing would risk scraping a different pin. Open it once in a browser and paste the full pin address instead.

What happens if one pin in my list is broken? Nothing else stops. Each pin is handled on its own, and the run log tells you exactly how many were scraped, how many were unavailable, how many failed and how many entries were not recognised.