# Pinterest \[Only $1.9πŸ’°] PIN | Ideas | Profile | Board | Scraper (`memo23/pinterest-scraper`) Actor \[Only $1.9πŸ’°] Scrape Pinterest pins, boards, profiles and search into JSON or CSV. Titles, descriptions, images/video, creator and board info, links, engagement. Optional comments and profile fields. URLs or keywords. Great for trend research, content planning and creator discovery. - **URL**: https://apify.com/memo23/pinterest-scraper.md - **Developed by:** [Muhamed Didovic](https://apify.com/memo23) (community) - **Categories:** Social media, Lead generation, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.90 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Pinterest Scraper **Unlock Pinterest pin data at scale** β€” scrape pins from search, profiles, boards, ideas hubs, and direct pin URLs using the same JSON resources the Pinterest web app uses. Optional **flattened** rows for spreadsheets, plus **comments** and **profile enrichment** when you need full context. *"From search grids and idea hubs to board feeds and individual pins β€” turn Pinterest browsing into structured datasets."* #### How it works ![How Pinterest Scraper works](https://raw.githubusercontent.com/muhamed-didovic/muhamed-didovic.github.io/main/assets/how-it-works-pinterest-v1.png) ### Overview The Pinterest Scraper is built for marketers, researchers, and analysts who need **public** pin metadata (images, engagement, board context, SEO fields, and more). It runs on the Apify platform with Crawlee and Cheerio, supports residential proxies, and exports to **JSON** or **CSV** (flattened mode is ideal for CSV). ### What does Pinterest Scraper do? The Pinterest Scraper enables you to: #### Comprehensive data collection - **Pins** - Collect pin ids, canonical URLs, repin counts, reaction counts, and aggregated stats where available - Image variants (multiple sizes) and dominant color - Board context (name, privacy, owner) when the listing provides it - Rich listing fields merged with **PinResource** detail where applicable - **Comments** (optional) - Per-pin comments via Pinterest's **UnifiedCommentsResource** (when enabled) - **User profile enrichment** (optional) - Public **UserResource** fields merged into **pinner**, **owner**, and related user blobs (e.g. **follower_count**, avatars) #### Advanced crawling - **Pagination**: Search, user activity, board feeds, and ideas hub feeds paginate until **max items** or no more bookmarks - **Concurrency & retries**: Configurable **max/min concurrency** and **max request retries** - **Proxy-friendly**: Residential proxy groups recommended for stable access #### Flexible start points See **[Supported start URLs](#supported-start-urls)** for every accepted pattern and a **copy-paste `startUrls` example** covering ideas hub, pin, profile, search, and board. In short: **pin** URLs, **search** URLs (`/search/pins`, `/search/videos`, …), **profile** (`/{user}/`), **board** (`/{user}/{board}/`), **ideas hub** (`/ideas/slug/id/`), or **Search queries** without pasting URLs. This tool is ideal for: - Trend and visual research - Competitive inspiration tracking - Building labeled image / metadata corpora from public pins - Enriching pin lists with comments and creator stats ### Features - **Multiple entry types**: Search, profile, board, ideas hub, and direct pin URLs in one run - **Keyword mode**: **Search queries** (multi-line) + **Search type** (`pins`, `videos`, `boards`, `users`) when you prefer not to paste full URLs - **Optional comments**: Toggle **Include comments** for a **comments** field (nested object when not flattened; dot keys when flattened) - **Optional user enrichment**: Toggle **Include only user info** to merge **UserResource** into pin-related users - **Flattened output**: One level of keys with dot notation β€” best for Excel/CSV pipelines - **Search page cap**: **List end page** limits how many search API pages to walk (omit for no cap, still bounded by **max items**) - **Structured export**: Dataset items as JSON; CSV export reflects the same flat/nested shape you choose ### How to use 1. **Apify**: Open the actor and sign in if needed. 2. **Start URLs** *or* **Search queries**: Paste one or more Pinterest URLs, or leave URLs empty and fill **Search queries** (and **Search type**). 3. **Options**: Set **max items**, **flattened output**, **include comments**, **include only user info**, **list end page** (optional), concurrency, retries, and **proxy** (residential recommended). 4. **Run**: Start the actor; results appear in the default dataset. ### Supported start URLs Use full **HTTPS** URLs on `pinterest.com` or **`*.pinterest.com`** (e.g. `www.pinterest.com`, `br.pinterest.com`). Query strings are kept where Pinterest uses them (e.g. `?q=` on search). | Kind | Path pattern | Notes | |------|----------------|--------| | **Pin** | `/pin/{id}` or `/pin/{slug}--{id}` | Numeric id, or slug ending with `--{id}`. | | **Search** | `/search/{vertical}/…` | `vertical` must be `pins`, `videos`, `boards`, or `users`. Example: `/search/pins/?q=nails`. | | **Ideas hub** | `/ideas/{topic-slug}/{numeric-id}/` | Exactly **three** path segments; last segment **digits only**. Example: `/ideas/beauty/935541271955/`. | | **Board** | `/{username}/{board-slug}/` | Exactly **two** segments. Not profile tabs (e.g. `…/user/pins/` is reserved, not a board). | | **Profile** | `/{username}/` | Exactly **one** segment; username must not be a reserved first segment (`search`, `pin`, `ideas`, `today`, …). | **Without start URLs:** set **Search queries** (and **Search type**). The actor opens `https://www.pinterest.com/search/{searchScope}/?q=…` per query (`searchScope`: `pins` | `videos` | `boards` | `users`). Legacy **Search keyword** is one such query. #### Example `startUrls` (what we support) You can use **one** of these or **mix several** in a single run. **Maximum number of items** is a **shared cap** across every start URL (pins are merged into one dataset). | Entry type | Example URL | |------------|-------------| | **Ideas hub** | `https://www.pinterest.com/ideas/beauty/935541271955/` | | **Pin** (numeric id or `slug--id`) | `https://www.pinterest.com/pin/1829656094716568/` or `https://www.pinterest.com/pin/uitas--1829656094716568/` | | **Profile** | `https://www.pinterest.com/dudadelsanto/` | | **Search** | `https://www.pinterest.com/search/pins/?q=nail+art&rs=hub_page` | | **Board** | `https://www.pinterest.com/dudadelsanto/nail-inspo/` | Copy-paste as your **Start URLs** list: ```json "startUrls": [ "https://www.pinterest.com/ideas/beauty/935541271955/", "https://www.pinterest.com/pin/uitas--1829656094716568/", "https://www.pinterest.com/dudadelsanto/", "https://www.pinterest.com/search/pins/?q=nail+art&rs=hub_page", "https://www.pinterest.com/dudadelsanto/nail-inspo/" ] ```` **Not supported:** `pin.it` / other short domains, board **section** URLs (`…/board/section/`), non-`/ideas/` three-segment paths, and hosts outside `*.pinterest.com`. ### Input configuration See **[Example `startUrls` (what we support)](#example-starturls-what-we-support)** for a copy-paste list with every entry type (ideas hub, pin, profile, search, board). Example input (single pin URL + all optional enrichments + flattened rows): ```json { "startUrls": [ "https://www.pinterest.com/pin/uitas--1829656094716568/" ], "maxItems": 50, "flattenedOutput": true, "includeComments": true, "includeOnlyUserInfo": true, "maxSearchPages": 5, "maxConcurrency": 10, "minConcurrency": 1, "maxRequestRetries": 3, "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` Keyword-only example (same **max items** budget shared across queries): ```json { "searchQueries": ["spring nails", "almond nails"], "searchScope": "pins", "maxItems": 100, "flattenedOutput": false, "includeComments": false, "includeOnlyUserInfo": false } ``` #### Input fields | Field | Description | | ----- | ----------- | | `startUrls` | String list: board, profile, ideas hub, search, or pin URLs (`www` or country subdomain on `*.pinterest.com`). | | `searchQueries` | When `startUrls` is empty, one Pinterest search per non-empty line (uses `searchScope`). | | `searchScope` | `pins` (default), `videos`, `boards`, or `users` β€” only affects keyword-built search URLs. | | `searchKeyword` | Legacy single term; same as one entry in `searchQueries`. | | `maxItems` | Maximum pins to collect (default 100; free users may be capped by the actor). | | `maxSearchPages` | Max **search** API pages (optional); omit or ≀0 for no page limit. | | `flattenedOutput` | If `true`, one object per pin with dot-separated keys (CSV-friendly). | | `includeComments` | Fetch comments per pin (`UnifiedCommentsResource`). | | `includeOnlyUserInfo` | Merge **UserResource** into pinner/owner (and related users). | | `maxConcurrency` / `minConcurrency` | Crawler concurrency. | | `maxRequestRetries` | Retries per failed request. | | `proxy` | Apify proxy configuration (residential recommended). | ### Output structure Each **dataset item** is one **pin** (merged listing + detail). The exact keys depend on **flattened output** and on which toggles were enabled. More samples below show the same **pin** row shape from different starts. With **flattened output** off, fields are **nested** objects/arrays instead of dot keys. #### Sample JSON β€” pin row, flattened, comments + user info The example below is the **first record** from a real run with **Flattened output**, **Include comments**, and **Include only user info** enabled (same as `data_pin.json` in the repository). Keys use dot notation; comment threads use `comments.0.*`, `comments.1.*`, … ```json { "node_id": "UGluOjE4Mjk2NTYwOTQ3MTY1Njg=", "seo_noindex_reason": null, "rich_metadata": null, "pinned_to_board": null, "utm_link": null, "pinner.node_id": "VXNlcjoxODI5NzkzNTA3MTA1NzE2", "pinner.indexed": true, "pinner.is_verified_merchant": false, "pinner.domain_url": null, "pinner.is_ads_only_profile": false, "pinner.followed_by_me": false, "pinner.image_small_url": "https://i.pinimg.com/30x30_RS/b5/7a/9b/b57a9b0cea06a51e8b4fc3963c806218.jpg", "pinner.first_name": "sandra", "pinner.full_name": "sandra zerpa", "pinner.id": "1829793507105716", "pinner.username": "saze300594", "pinner.instagram_data": null, "pinner.type": "user", "pinner.domain_verified": false, "pinner.ads_only_profile_site": null, "pinner.explicitly_followed_by_me": false, "pinner.blocked_by_me": false, "pinner.image_medium_url": "https://i.pinimg.com/75x75_RS/b5/7a/9b/b57a9b0cea06a51e8b4fc3963c806218.jpg", "pinner.follower_count": 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0, "comments.4.helpful_count": 0, "comments.4.avatar": "https://s.pinimg.com/images/user/default_75.png", "comments.5.id": "5445821451433193930", "comments.5.created_at": "Sat, 09 Aug 2025 13:12:50 +0000", "comments.5.content": "I love these!!!", "comments.5.name": "andymmiller19", "comments.5.url": "https://www.pinterest.com/andymmiller19", "comments.5.like_count": 0, "comments.5.reply_count": 0, "comments.5.helpful_count": 0, "comments.5.avatar": "https://i.pinimg.com/75x75_RS/13/12/cb/1312cb2d86dd7af0f727ae0cab839c37.jpg", "comments.6.id": "5440400004181176329", "comments.6.created_at": "Thu, 10 Jul 2025 15:07:01 +0000", "comments.6.content": "Those EAT!!!!!!", "comments.6.name": "rain880", "comments.6.url": "https://www.pinterest.com/rain880", "comments.6.like_count": 0, "comments.6.reply_count": 0, "comments.6.helpful_count": 0, "comments.6.avatar": "https://i.pinimg.com/75x75_RS/48/cc/c7/48ccc773a44f7c3a7aed4fae4cb4989f.jpg", "comments.7.id": "3086893127497726272", "comments.7.created_at": "Mon, 22 Dec 2025 18:36:24 +0000", "comments.7.content": "Obsessed 😍 Love it ❀️", "comments.7.name": "zowilson200319", "comments.7.url": "https://www.pinterest.com/zowilson200319", "comments.7.like_count": 0, "comments.7.reply_count": 0, "comments.7.helpful_count": 0, "comments.7.avatar": "https://i.pinimg.com/75x75_RS/7b/21/c6/7b21c6f844b8e935beea84c287a6c4fc.jpg", "comments.8.id": "5454037569662664541", "comments.8.created_at": "Tue, 23 Sep 2025 21:28:41 +0000", "comments.8.content": "So cute ahh ❀️😍😍", "comments.8.name": "evelyninoa12", "comments.8.url": "https://www.pinterest.com/evelyninoa12", "comments.8.like_count": 0, "comments.8.reply_count": 0, "comments.8.helpful_count": 0, "comments.8.avatar": "https://s.pinimg.com/images/user/default_75.png", "comments.9.id": "5446067006006683443", "comments.9.created_at": "Sun, 10 Aug 2025 21:44:21 +0000", "comments.9.content": "Love it ❀️ Looks good!", "comments.9.name": "sekhonk80", "comments.9.url": "https://www.pinterest.com/sekhonk80", "comments.9.like_count": 0, "comments.9.reply_count": 0, "comments.9.helpful_count": 0, "comments.9.avatar": "https://s.pinimg.com/images/user/default_75.png", "pinner_follower_count": 142 } ``` #### Sample JSON β€” ideas hub (Beauty category), flattened Start URL: `https://www.pinterest.com/ideas/beauty/935541271955/`. Each dataset item is still a **pin** (`"type": "pin"`); the ideas hub feed supplies listing fields, then the same pin pipeline applies (optional comments / user enrichment). 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"https://i.pinimg.com/30x30_RS/c4/8e/de/c48ede160988ca712322e00514576f23.jpg", "pinner.full_name": "Cindy Plouzeau", "pinner.explicitly_followed_by_me": false, "pinner.username": "cindyplouzeau", "pinner.indexed": true, "pinner.id": "563156111863226", "pinner.image_medium_url": "https://i.pinimg.com/75x75_RS/c4/8e/de/c48ede160988ca712322e00514576f23.jpg", "grid_title": "", "closeup_attribution.node_id": "VXNlcjoxNTgwNDg0MDU1ODE1MTY3NzE=", "closeup_attribution.domain_verified": false, "closeup_attribution.is_default_image": false, "closeup_attribution.is_verified_merchant": false, "closeup_attribution.followed_by_me": false, "closeup_attribution.type": "user", "closeup_attribution.is_ads_only_profile": false, "closeup_attribution.first_name": "Eri the", "closeup_attribution.follower_count": 1491, "closeup_attribution.blocked_by_me": false, "closeup_attribution.image_small_url": "https://i.pinimg.com/30x30_RS/c0/91/dc/c091dcdcbff188633fc3eb58e98de6bd.jpg", "closeup_attribution.full_name": "Eri the cat", "closeup_attribution.explicitly_followed_by_me": false, "closeup_attribution.username": "eri_neko", "closeup_attribution.indexed": true, "closeup_attribution.id": "158048405581516771", "closeup_attribution.image_medium_url": "https://i.pinimg.com/75x75_RS/c0/91/dc/c091dcdcbff188633fc3eb58e98de6bd.jpg", "is_whitelisted_for_tried_it": true, "is_eligible_for_pdp": false, "is_playable": false, "is_eligible_for_related_products": false, "is_stale_product": false, "origin_pinner.node_id": "VXNlcjoxNTgwNDg0MDU1ODE1MTY3NzE=", "origin_pinner.domain_verified": false, "origin_pinner.is_default_image": false, "origin_pinner.is_verified_merchant": false, "origin_pinner.followed_by_me": false, "origin_pinner.type": "user", "origin_pinner.is_ads_only_profile": false, "origin_pinner.first_name": "Eri the", "origin_pinner.follower_count": 1491, "origin_pinner.blocked_by_me": false, "origin_pinner.image_small_url": "https://i.pinimg.com/30x30_RS/c0/91/dc/c091dcdcbff188633fc3eb58e98de6bd.jpg", "origin_pinner.full_name": "Eri the cat", "origin_pinner.explicitly_followed_by_me": false, "origin_pinner.username": "eri_neko", "origin_pinner.indexed": true, "origin_pinner.id": "158048405581516771", "origin_pinner.image_medium_url": "https://i.pinimg.com/75x75_RS/c0/91/dc/c091dcdcbff188633fc3eb58e98de6bd.jpg", "share_count": 73, "did_it_disabled": false, "is_oos_product": false, "privacy": "public", "promoted_is_removable": false, "image_medium_url": "https://i.pinimg.com/200x/7e/43/90/7e43902a193e47a0a2513343ff71af3f.jpg", "closeup_user_note": " ", "is_product_tagging_enabled_standard_pin": false, "seo_title": "19 Best Foundations for Combination Skin for a Balanced Makeup Look | Idee per il trucco, Prodotti per il trucco, Cosmetici nyx", "is_go_linkless": false, "is_unsafe_for_comments": false, "price_currency": "USD", "is_video": false, "category": "", "is_promotable": false, "is_hidden": false, "is_promoted": false, "seo_description": "We’ve selected the best foundations for combination skin, with a variety of finishes and coverage levels so you will definitely find something you’ll like!", "method": "uploaded", "via_pinner.node_id": "VXNlcjo2NDc0MTMwNjIyNzgzOTY5", "via_pinner.domain_verified": false, "via_pinner.is_default_image": true, "via_pinner.is_verified_merchant": false, "via_pinner.followed_by_me": false, "via_pinner.type": "user", "via_pinner.is_ads_only_profile": false, "via_pinner.first_name": "i", "via_pinner.follower_count": 14, "via_pinner.blocked_by_me": false, "via_pinner.image_small_url": "https://s.pinimg.com/images/user/default_30.png", "via_pinner.full_name": "bambubbs.πŸ‹", "via_pinner.explicitly_followed_by_me": false, "via_pinner.username": "ibboo30", "via_pinner.indexed": true, "via_pinner.id": "6474130622783969", "via_pinner.image_medium_url": "https://s.pinimg.com/images/user/default_75.png", "is_quick_promotable_by_pinner": false, "is_repin": true, "comments_disabled": true, "has_been_boost_promoted": false, "price_value": 0, "should_open_in_stream": false, "ships_to_user_country": false, "shopping_rec_disabled": false, "can_delete_did_it_and_comments": false, "unified_user_note": "", "done_by_me": false, "is_quick_promotable": false, "is_eligible_for_aggregated_comments": true, "is_eligible_for_brand_catalog": false, "has_required_attribution_provider": false, "url": "https://www.pinterest.com/pin/563018698416962/", "like_count": 252, "owner.node_id": "VXNlcjo1NjMxNTYxMTE4NjMyMjY=", "owner.domain_verified": false, "owner.is_default_image": false, "owner.is_verified_merchant": false, "owner.followed_by_me": false, "owner.type": "user", "owner.is_ads_only_profile": false, "owner.first_name": "Cindy", "owner.follower_count": 38, "owner.blocked_by_me": false, "owner.image_small_url": "https://i.pinimg.com/30x30_RS/c4/8e/de/c48ede160988ca712322e00514576f23.jpg", "owner.full_name": "Cindy Plouzeau", "owner.explicitly_followed_by_me": false, "owner.username": "cindyplouzeau", "owner.indexed": true, "owner.id": "563156111863226", "owner.image_medium_url": "https://i.pinimg.com/75x75_RS/c4/8e/de/c48ede160988ca712322e00514576f23.jpg" } ``` #### Reading these samples - **`type`**: Always `"pin"` for pin dataset rows (search, profile, board, ideas hub, or direct pin URL). - **`id`**, **`url`**: Pin id and canonical pin URL. - **`pinner.*`**, **`owner.*`**, **`board.owner.*`**, **`native_creator.*`**, **`via_pinner.*`**, **`closeup_attribution.*`**, etc.: User-shaped fields; with **Include only user info**, profile fields such as **`follower_count`** are filled where the API returns them. - **`comments.N.*`**: Present when **Include comments** is on β€” `content`, `name`, profile `url`, `created_at`, counts, optional `avatar`. - **`aggregated_pin_data.*`**: Aggregated pin node (saves, comment\_count at aggregated level, etc.). - **`images.*`**: Multiple image size buckets (`60x60`, `236x`, `orig`, …). - **Ideas / listing-only fields**: Some grids expose extra keys (e.g. **`seo_url`**, **`like_count`**) that may be absent on rows from a bare **pin** URL; presence varies by source and Pinterest’s payload. With **flattened output** off, the same data is stored as **nested** JSON (objects and arrays) instead of dot keys. ### Output fields (flattened pin rows β€” high level) This section applies to both **flattened** samples above (direct pin + ideas hub). Pinterest may add or omit fields over time; treat unknown keys as optional. #### Pin core - **`node_id`**, **`id`**: Internal / numeric identifiers. - **`type`**: `"pin"`. - **`url`**: Full HTTPS URL of the pin. - **`title`**, **`description`**, **`closeup_unified_description`**, **`seo_title`**, **`seo_description`**: Text and SEO-oriented fields (may be empty). - **`created_at`**: Pin creation timestamp string from Pinterest. - **`repin_count`**, **`share_count`**, **`comment_count`**, **`reaction_counts.*`**: Engagement metrics where exposed on the listing. - **`image_medium_url`**, **`image_signature`**, **`dominant_color`**: Visual metadata. - **`images..width`**, **`images..height`**, **`images..url`**: Per-size image assets. #### Aggregated pin data - **`aggregated_pin_data.id`**, **`aggregated_pin_data.node_id`**: Aggregated node identifiers (used for comments API). - **`aggregated_pin_data.aggregated_stats.*`**: e.g. saves / done counts. - **`aggregated_pin_data.comment_count`**: Comment count on the aggregated node (may differ from listing `comment_count`). - **`aggregated_pin_data.did_it_data.*`**: β€œTried it” style engagement breakdown when present. #### Board - **`board.id`**, **`board.name`**, **`board.url`**, **`board.privacy`**: Board identity and visibility. - **`board.pin_thumbnail_urls.N`**: Sample thumbnails from the board. - **`board.owner.*`**: Board owner user fields (enriched when user info is enabled). #### Users (pinner, owner, attribution, etc.) Flattened keys share the same suffixes: **`*.username`**, **`*.full_name`**, **`*.id`**, **`*.image_small_url`**, **`*.follower_count`**, **`*.indexed`**, etc., under prefixes like **`pinner`**, **`owner`**, **`closeup_unified_attribution`**, **`native_creator`**, **`via_pinner`**. #### Comments (when enabled) - **`comments.N.id`**: Comment id. - **`comments.N.content`**: Text body. - **`comments.N.name`**: Commenter display/username-style label. - **`comments.N.url`**: Commenter profile URL on Pinterest. - **`comments.N.created_at`**: Timestamp when provided. - **`comments.N.like_count`**, **`reply_count`**, **`helpful_count`**: Interaction counts. - **`comments.N.avatar`**: Present for some commenters. #### Other - **`pin_join.visual_annotation.N`**: Topic-style labels. - **`pin_join.annotations_with_links.