A powerful Pinterest data extraction tool that captures pins, comments, user profiles, collections, media, and more. Designed for analysts, marketers, and developers who need fast, structured Pinterest data for insights and automation. This Pinterest scraper delivers accurate, flexible outputs for any workflow.
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This project provides a full-featured Pinterest data extractor capable of collecting detailed metadata from pins, users, comments, boards, idea pages, and search results. It solves the challenge of gathering Pinterest data at scale by offering structured fields, automatic pagination, proxy support, and export-ready formats. It’s ideal for analysts, content researchers, e-commerce teams, marketers, and engineers building data-driven Pinterest applications.
- Capture complete data from Pinterest pins, including images and metadata.
- Retrieve unlimited comments and user information with flexible toggles.
- Scrape user profiles and their pin collections effortlessly.
- Search Pinterest programmatically and fetch keyword-based results.
- Supports detailed extension functions for custom parsing.
| Feature | Description |
|---|---|
| Pin Data Extraction | Retrieves all information from Pinterest pins, including images, owner info, metadata, and engagement metrics. |
| Comment Scraping | Optionally gathers all available comments for each pin without limits. |
| User & Profile Scraping | Extracts user details, follower counts, profile metadata, and user pins. |
| Ideas & Collections | Fetches pins within idea pages and board collections with automated pagination. |
| Keyword Search | Performs Pinterest searches and returns all pin results for a given query. |
| Custom Extend Functions | Supports custom mapping and output extension via user-provided functions. |
| Proxy Support | Ensures stable and anonymous scraping with full proxy configuration. |
| Export Formats | Data can be transformed into XML, JSON, CSV, Excel, or HTML for analysis. |
| Field Name | Field Description |
|---|---|
| type | The object type (e.g., pin). |
| url | Direct URL of the Pinterest pin. |
| aggregated_pin_data | Engagement metrics such as comment count. |
| board | The board where the pin is saved, including board owner. |
| owner | Full metadata of the pin owner. |
| pinner | User who pinned the item. |
| description | Raw text description of the pin. |
| images | URLs and sizes of all available image resolutions. |
| videos | Video metadata if present. |
| repin_count | Number of times the pin was repinned. |
| like_count | Number of likes on the pin. |
| share_count | Shares recorded for the pin. |
| comment_count | Total number of comments. |
| created_at | Timestamp of pin creation. |
| domain | Source website of the content. |
| dominant_color | Main image color detected. |
| pinner_follower_count | How many followers the pinner has. |
{
"type": "pin",
"url": "https://www.pinterest.com/pin/1096556209247124248",
"aggregated_pin_data": {
"id": "5252180141467027218",
"comment_count": 4
},
"alt_text": null,
"board": {
"name": "Quick Saves",
"url": "/podailsaves2/_quick_saves/"
},
"closeup_description": "Whimsical Middle School Altered Photograph Art Project",
"comment_count": 4,
"created_at": "Sat, 15 Oct 2022 14:56:20 +0000",
"domain": "smallhandsbigart.com",
"images": {
"236x": { "url": "https://i.pinimg.com/236x/8a/83/64/sample.jpg" }
},
"owner": {
"full_name": "Podail Saves",
"username": "podailsaves2"
},
"repin_count": 2289,
"like_count": 41
}
Pinterest Data Extractor/
├── src/
│ ├── runner.js
│ ├── extractors/
│ │ ├── pinterest_parser.js
│ │ └── utils_format.js
│ ├── outputs/
│ │ └── exporters.js
│ └── config/
│ └── settings.example.json
├── data/
│ ├── input.sample.json
│ └── sample_output.json
├── package.json
└── README.md
- Research teams use it to collect visual inspiration data, enabling trend analysis and content planning.
- E-commerce sellers gather product-related pins to understand customer interest and competitive landscapes.
- Marketing agencies monitor Pinterest engagement to optimize campaign strategy and creative direction.
- Academic analysts extract structured datasets for studying visual culture, design trends, and social behavior.
- Developers integrate Pinterest data into dashboards, automation pipelines, or search tools.
Q: Can I extract only user information without pins?
Yes. Enable includeUserInfoOnly to retrieve user data while skipping pin-level detail.
Q: How can I limit the number of items scraped?
Use the maxItems field to enforce an upper limit, especially useful on large search results.
Q: Does this support multi-page scraping?
Yes. You can set endPage to define how many pages to crawl for each URL or search query.
Q: Can I provide custom extraction logic?
Both extendOutputFunction and customMapFunction allow injecting custom JavaScript functions for specialized data handling.
Primary Metric: The extractor processes roughly 100 pins per minute under typical conditions, maintaining stable throughput even with mixed content types.
Reliability Metric: Sustains a 95–98% success rate across diverse Pinterest URLs, including pins, users, collections, and search pages.
Efficiency Metric: Optimized request batching and selective loading reduce bandwidth usage, with average runs consuming minimal compute resources.
Quality Metric: Produces near-complete data coverage, capturing over 99% of available pin metadata, including multi-resolution images and user details.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Bitbash nailed it." Syed
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