Pinterest Board API
Scrape Pinterest Board data with one API call. Returns pins from a Pinterest board, up to 15 per page. Each pin includes its text (title, or description when the title is empty), image URL, author, and save, comment and share counts; many pins have no title or description, so the text can be null. A board page does not carry the date a pin was created, so `post.published_at` is null on a plain call, and `post.engagement.likes` (reactions) is null on pins that have no reactions. Send `include=engagement` and every row is joined, in the same call, to the per-pin lookup: the creation date lands on each row and `likes` is filled from the pin (0 when it has no reactions); counts the board already carried are kept. Cost: 1 credit for the page plus 1 credit per row filled from a fresh lookup (15 rows max, so 16 credits at most); rows already in cache are filled for free, rows that could not be filled are refunded, and a repeat of the same call within the cache window is 0 credits. Time: a plain call is usually about 5 seconds; `include=engagement` adds 4 to 10 seconds on a fresh page (the lookups run in parallel and the call waits for the slowest, never more than 12 seconds). `limit=N` caps the rows and the credits together. The response carries a `hydration` block itemising rows, lookups, cache hits, credits and milliseconds. Send `pagination.next_cursor` back as `cursor` to walk the rest of the board, with or without `include`; `has_more` goes false on the last page.
Last updated October 2026Maintained by the SocialCrawl team
Returns the pins on a Pinterest board with text, image URL, author, and save, comment and share counts; include=engagement adds each pin's date and reaction count.
Use it when you have a board URL: about 15 pins a page, cursor for the rest, include=engagement for pin dates at 1 credit a row. user/boards finds the boards.
Searching 68 platforms in parallel
TikTok·
Instagram·
YouTube·
Facebook·
X·
LinkedIn·
Reddit·
Threads·Pinterest·
Twitch·
Truth Social·
Snapchat·
Kick·
Bluesky·
Kwai·
Rumble·
Spotify·
Apple Music·TikTok Shop·
Amazon Shop·
Google Shopping·
Trustpilot·
TripAdvisor·
Yelp·
Linktree·
Komi·
Pillar·
lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·
Finance·
Polymarket·
Tavily·
Hacker News·
GitHub·
Perplexity·
Naver·
Utility·
Universal SearchTikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal SearchTikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal SearchTikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal SearchWhat can you do with the Board API?
The Board endpoint gives you structured Pinterest data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
curl -H "x-api-key: YOUR_API_KEY" \
"https://www.socialcrawl.dev/v1/pinterest/board?url=https%3A%2F%2Fwww.pinterest.com%2Flizmrodgers%2Fmoms-night%2F&trim=true"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/pinterest/board",
params={
'url': 'https://www.pinterest.com/lizmrodgers/moms-night/',
'trim': 'true',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/pinterest/board?url=https%3A%2F%2Fwww.pinterest.com%2Flizmrodgers%2Fmoms-night%2F&trim=true",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters worth sending
trim=trueSame price, lighter payload: drops the bulky raw fields.
Parameters
| Parameter | Required | Description |
|---|---|---|
| url | Yes | Full URL of the Pinterest board |
| trim | No | Set to true for a trimmed down version of the response |
| cursor | No | Cursor to get the next page of pins. Take it from `pagination.next_cursor` on the previous response. |
| include | No | Set to `engagement` (one token only) to fill `post.published_at` and `post.engagement.likes` (plus any save, comment or share count the board row lacked) on every row in this one call. Holds 1 credit per row (at most 15, or `limit`) and keeps only the rows filled from a fresh lookup; rows already in cache and rows that could not be filled are refunded, so the most a call can cost is 1 + rows. Adds 4 to 10 seconds on a fresh page (never more than 12) and nothing when the rows are already cached; read `data.hydration` for the rows, the credits held and kept, and the time. (engagement) |
| limit | No | Take the top N pins of the page (1 to 15). With `include=engagement` it also caps the extra credits at N: `limit=4&include=engagement` costs at most 5. It is not a page size: `next_cursor` still advances past the full page, so pins beyond N on this page are not returned by the next page. |
| since | No | Only rows published on or after this date: YYYY-MM-DD (midnight UTC) or an ISO 8601 timestamp. Rows older than it are left off each page. This list is not in date order, so the walk does not stop at the date: keep following `next_cursor`, and each page costs what a page costs even when every row on it is filtered out. A row with no date is kept. `published_after`, `start_date`, `from_date`, `publish_time` (`yesterday`, `this-week`, `this-month`, `last-3-months`, `last-6-months`) and `max_age_days` are accepted and applied as `since`. |
| until | No | Only rows published on or before this date: YYYY-MM-DD (that whole UTC day is included) or an ISO 8601 timestamp. Newer rows are left off each page and the walk does not stop, so older pages follow. A row with no date is kept. `published_before`, `end_date` and `to_date` are accepted and applied as `until`. |
What does the Pinterest Board API return?
Every response follows one unified schema. Here is a real, unmodified response body, so you can see the exact fields you get back before spending a credit.
Example response
{
"success": true,
"platform": "pinterest",
"endpoint": "/v1/pinterest/board",
"data": {
"items": [
{
"post": {
"id": "UGluOjYzODk0ODg4NDcxNzM5Njcz",
"url": "https://www.pinterest.com/pin/63894888471739673/",
"content": {
"text": "Sample comment text (redacted).",
"media_urls": "https://i.pinimg.com/originals/40/6e/97/406e979d4519d9fe0b6fd0cb2143e14b.jpg",
"thumbnail_url": "https://i.pinimg.com/236x/40/6e/97/406e979d4519d9fe0b6fd0cb2143e14b.jpg",
"duration_seconds": null
},
"author": {
"username": "lizmrodgers",
"display_name": "user_9b0e46",
"avatar_url": "https://example.com/avatars/user_f599de.png",
"verified": null
},
"engagement": {
"views": null,
"likes": 254,
"comments": 0,
"shares": 0,
"saves": 9125
},
"flags": {
"nsfw": null,
"spoiler": null,
"pinned": null,
"deleted": false
},
"published_at": null
},
"computed": {
"engagement_rate": null,
"language": null,
"content_category": null,
"estimated_reach": null
}
},
{
"post": {
"id": "UGluOjYzODk0ODg4NDcxNzM5NjY1",
"url": "https://www.pinterest.com/pin/63894888471739665/",
"content": {
"text": null,
"media_urls": "https://i.pinimg.com/originals/cc/02/40/cc02402de7e71267eb829df13d49bb91.jpg",
"thumbnail_url": "https://i.pinimg.com/236x/cc/02/40/cc02402de7e71267eb829df13d49bb91.jpg",
"duration_seconds": null
},
"author": {
"username": "lizmrodgers",
"display_name": "user_9b0e46",
"avatar_url": "https://example.com/avatars/user_f599de.png",
"verified": null
},
"engagement": {
"views": null,
"likes": 769,
"comments": 0,
"shares": 0,
"saves": 74643
},
"flags": {
"nsfw": null,
"spoiler": null,
"pinned": null,
"deleted": false
},
"published_at": null
},
"computed": {
"engagement_rate": null,
"language": null,
"content_category": null,
"estimated_reach": null
}
}
],
"next_cursor": "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",
"total": null,
"dropped": 0
},
"credits_used": 1,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": "sc.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",
"has_more": true,
"page_size": 2
},
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-10-02T07:33:36.402Z",
"redacted": true
}Live sample illustrating the unified response shape. Field values reflect the record you query.
How does the Pinterest Board API work?
Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.
Method
GET
Response
JSON
How do you scrape social media data in seconds?
The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 68 platforms covering 10B+ monthly active users.
One schema, every platform
Query 68 platforms with identical response structures. Write your integration once.
Computed fields, not just scraped
When an endpoint supports these metrics and the source provides the required inputs, the normalized record includes engagement_rate, estimated_reach, content_category, and language. Ready to use.
See your data before you code
Visual Data Explorer. Paste any URL, get rich result cards, sortable tables, CSV export.
import requests
response = requests.get(
'https://www.socialcrawl.dev/v1/tiktok/profile',
params={'handle': 'charlidamelio'},
headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json(){
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}Have a question? We got answers
Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
Contact usHow do I scrape a Pinterest board's pins with an API?
How do I paginate through a large Pinterest board?
What data does each board pin include?
Can I trim the board response for lean JSON?
How much does the Pinterest Board API cost?
Ask AI about SocialCrawl
Ready to scrape Pinterest Board data?
Get your API key and start pulling Pinterest data in under 60 seconds.