We extract Pins, Boards, visual search metadata, creator profiles, and outbound link structures from Pinterest. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Pins objects from pinterest.com. All fields typed and schema-versioned.
"pin_id": "842102793019283741", "title": "Minimalist Concrete Interior", "description": "Brutalist architecture meets modern interior design in this Tokyo apartment.", "outbound_link": "https://example-architecture.com/tokyo-project", "saved_count": 1402, "comment_count": 34, "created_at": "2024-02-14T08:30:00Z"
| # | pin_id | image_url | title | description | outbound_link | board_id |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Boards objects from pinterest.com. All fields typed and schema-versioned.
"board_id": "193847291038472", "name": "Mid-Century Modern Living", "category": "home_decor", "pin_count": 482, "follower_count": 12405, "creator_id": "arch_digest_official", "created_at": "2021-11-05T14:20:00Z"
| # | board_id | name | description | category | pin_count | follower_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Creators objects from pinterest.com. All fields typed and schema-versioned.
"username": "design_studio_x", "display_name": "Studio X Architecture", "bio": "Award-winning interior design firm based in London.", "follower_count": 89302, "monthly_views": 4500000, "website_url": "https://studiox.co.uk", "verified_merchant": false
| # | creator_id | username | display_name | bio | follower_count | following_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Rich Pins objects from pinterest.com. All fields typed and schema-versioned.
"pin_id": "842102793019283741", "rich_pin_type": "product", "product_price": 1299.0, "product_currency": "USD", "product_availability": "in_stock", "domain": "hermanmiller.com", "article_title": "None"
| # | pin_id | rich_pin_type | article_title | article_author | product_price | product_currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Visual Search objects from pinterest.com. All fields typed and schema-versioned.
"source_pin_id": "842102793019283741", "related_pin_id": "938271635241092", "visual_similarity_score": 0.94, "category": "architecture", "title": "Exposed Concrete Walls", "creator_id": "minimal_daily", "link": "https://minimal-daily.com/post/12"
| # | source_pin_id | related_pin_id | visual_similarity_score | category | image_url | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Pinterest scraper targets underlying GraphQL APIs rather than fragile React DOMs. We map Boards, extract Idea Pins, and trace outbound links at scale, bypassing dynamic class obfuscation entirely.
Capture high-resolution image URLs, titles, descriptions, save counts, and comment metrics across millions of Pins.
Extract complete Board hierarchies, including section divisions, pin counts, and follower metrics for specific categories.
Track monthly views, follower growth, verified merchant status, and outbound website links for any Pinterest creator.
Parse structured data embedded in Rich Pins, including product pricing, availability, article authors, and recipe ingredients.
Map Pinterest's visual similarity graph by extracting related Pins and recommendation feeds for any source image.
Identify exactly where Pinterest traffic is flowing by extracting the destination URLs attached to high-performing Pins.
Extract multi-page Idea Pin stories, including video source URLs, overlay text, and creator tags.
Scrape user comments on popular interior design Pins to analyse sentiment and extract product questions.
Our pipeline handles Pinterest's cursor-based pagination natively, ensuring complete extraction of massive Boards without memory leaks.
Brief in. Clean data out.
Provide creator usernames, Board URLs, search keywords, or specific categories. We configure the extraction schema.
We deploy GraphQL interceptors, configure residential proxy rotation, and manage cursor pagination logic.
We verify image URL accessibility, validate outbound link resolution, and check null rates on metadata fields.
Clean JSON, CSV, or Parquet delivered to your S3 bucket or Snowflake environment on a scheduled cadence.
Pinterest employs dynamic React rendering and aggressive rate limiting. Here is how our infrastructure maintains stable extraction.
Scraping Pinterest via CSS selectors is futile due to dynamic class names and virtualized lists that unload DOM nodes. We intercept the underlying GraphQL requests directly, yielding structured JSON responses that are faster and perfectly reliable.
Pinterest enforces strict request limits per IP. We distribute extraction across a global pool of residential proxies, maintaining session cookies only when necessary and rotating IPs to prevent blockages.
Extracting Boards with 10,000+ Pins requires precise cursor management. Our pipeline natively handles Pinterest's pagination tokens, ensuring zero duplicate records and complete board coverage.
We extract the direct CDN links for original, uncompressed images and MP4 video files, allowing your computer vision models to ingest high-quality visual data without hitting bandwidth bottlenecks.
Pinterest often wraps outbound links in internal redirects. We resolve these redirect chains automatically, delivering the final destination URL so you can accurately track traffic attribution.
Design firms and retailers track save counts on specific aesthetic categories to forecast upcoming interior design trends.
Publishers and e-commerce brands monitor outbound links to identify which competitor content is driving the most referral traffic.
Marketing agencies filter creators by monthly views and specific design niches to identify partners for influencer campaigns.
Machine learning teams use high-resolution Pin images and their associated descriptions to train computer vision and text-to-image models.
Retailers analyse product Rich Pins to track competitor pricing and correlate visual features with high save counts.
Media companies analyse high-performing Idea Pins to understand optimal video length, overlay text usage, and narrative structure.
"Pinterest is the internet's visual intent engine - but extracting its unstructured image graph requires specialized pipeline architecture."
Most teams fail at Pinterest scraping because they attempt to parse obfuscated React DOMs. We bypass the visual layer, intercepting the underlying GraphQL responses and managing continuous proxy rotation to prevent rate limits. DataFlirt delivers clean visual metadata so your engineers can focus on model training.
Everything supported by our pinterest.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
We discard traditional DOM parsing in favour of intercepting Pinterest's internal XHR requests. This yields structured data directly from the source, eliminating breakages caused by UI updates.
Visual data extraction requires significant bandwidth. We route GraphQL requests through residential IPs to avoid bans, while downloading media assets via high-throughput datacentre proxies.
Pipelines run on AWS Lambda for burst extraction and ECS for sustained Board mapping. Airflow manages dependencies and retries. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About pinterest.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available data from Pinterest is generally permissible under applicable laws. DataFlirt extracts only public Pins, public Boards, and public Creator profiles. We do not extract private boards, circumvent authentication, or collect personal identifying information beyond public business profiles.
By default, we deliver the direct CDN URLs for high-resolution images and videos. If required, we can configure the pipeline to download these media assets and push them directly to your S3 bucket alongside the metadata.
We utilise residential proxy networks to distribute request volume across thousands of IPs. We also tune request concurrency and mimic human pagination delays to stay well below Pinterest's 429 threshold.
No. DataFlirt only extracts data that is publicly accessible on the web without requiring a user login.
Pinterest calculates monthly views on a rolling 30-day basis. We can schedule pipelines to capture this metric daily or weekly to help you build your own historical time series.
Yes. Our pipeline resolves Pinterest's internal redirect URLs to capture the final destination URL, which is critical for tracking e-commerce traffic and affiliate links.
Our minimum engagement typically involves tracking a defined set of creators, specific Boards, or high-volume keywords on a weekly cadence. Contact us with your target volume for precise scoping.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you are tracking architecture trends or compiling a massive computer vision dataset, we build and operate the extraction infrastructure. Tell us your requirements.
