We extract Little Black Book vendor profiles, Real Wedding galleries, style metadata, and visual assets from Style Me Pretty. 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 Vendor Profiles objects from stylemepretty.com. All fields typed and schema-versioned.
"vendor_id": "v_849201", "name": "Jose Villa Photography", "category": "Photography", "location": "Santa Barbara, CA", "website_url": "http://josevilla.com", "instagram_handle": "@josevilla", "featured_weddings_count": 42, "rating": 5.0
| # | vendor_id | name | category | sub_category | location | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Real Weddings objects from stylemepretty.com. All fields typed and schema-versioned.
"wedding_id": "rw_99382", "title": "Classic White & Greenery Estate Wedding", "style_tags": "['Classic', 'Estate', 'Elegant']", "colour_palette": "['White', 'Green', 'Gold']", "season": "Spring", "location": "Santa Barbara, CA", "gallery_image_count": 145, "venue_name": "Sunstone Winery"
| # | wedding_id | title | url | location | date | style_tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Image Galleries objects from stylemepretty.com. All fields typed and schema-versioned.
"image_id": "img_4829103", "wedding_id": "rw_99382", "image_url": "https://stylemepretty.com/media/img_4829103.jpg", "category": "Ceremony", "dominant_colours": "['#FFFFFF', '#008000']", "style_tags": "['Outdoor', 'Floral Arch']", "orientation": "Portrait", "pinned_count": 1240
| # | image_id | wedding_id | vendor_id | image_url | alt_text | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Editorial Articles objects from stylemepretty.com. All fields typed and schema-versioned.
"article_id": "ed_39201", "title": "Top 10 Spring Wedding Colour Palettes", "author": "SMP Editors", "publish_date": "2023-04-12", "category": "Inspiration", "tags": "['Spring', 'Colour Palette']", "comment_count": 14, "share_count": 342
| # | article_id | title | author | publish_date | category | tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Vendor Reviews objects from stylemepretty.com. All fields typed and schema-versioned.
"review_id": "rev_8492", "vendor_id": "v_849201", "reviewer_name": "Sarah Jenkins", "rating": 5.0, "review_text": "Absolutely stunning photos.", "verified_client": true, "post_date": "2023-09-15", "helpful_votes": 3
| # | review_id | vendor_id | reviewer_name | wedding_date | rating | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipeline navigates Style Me Pretty's visual-heavy DOM, infinite-scroll galleries, and complex vendor relationship graphs to deliver structured JSON records.
Extract comprehensive vendor profiles including contact details, social handles, external websites, and geographic service areas.
Capture granular details from featured weddings: style tags, colour palettes, seasonal data, and the complete list of credited vendors.
Extract clean CDN URLs for gallery images, stripping query parameters to provide direct access to high-resolution visual assets.
Map relationships between vendors based on co-credits in Real Weddings, identifying frequent collaborators and regional networks.
Target extraction by specific states, cities, or destination wedding regions to build localised vendor directories.
Parse blog posts, trend reports, and inspiration articles, including embedded vendor links and inline imagery.
Isolate and normalise Instagram, Pinterest, and Facebook URLs from vendor profiles for downstream marketing campaigns.
Execute client-side JavaScript to trigger infinite scroll events, ensuring complete capture of deep image galleries.
Run continuous pipelines that only extract newly published weddings and recently added vendors to minimise processing overhead.
Brief in. Clean data out.
Specify target regions, vendor categories, or specific editorial sections. We map the extraction schema.
We configure Playwright crawlers to handle infinite scroll, image lazy-loading, and site navigation.
Schema validation ensures complete vendor attribution and accurate image URL normalisation.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Style Me Pretty relies heavily on client-side rendering and lazy-loaded assets. Here is how we ensure complete data capture without missing hidden elements.
Wedding galleries on Style Me Pretty use infinite scroll and lazy loading to manage heavy image payloads. We run full Playwright browser sessions to trigger scroll events and hydrate the DOM, capturing every image URL.
Image URLs often contain dynamic query parameters for sizing and caching. Our pipeline strips these parameters to deliver canonical, high-resolution asset links suitable for your own processing.
A single wedding features dozens of vendors. We extract the exact HTML structure linking vendor profiles to specific real weddings, maintaining the relational graph in the delivered JSON.
Editorial pages frequently change layout structures. We use fallback selector chains targeting semantic HTML and embedded JSON-LD to ensure consistent extraction despite CSS class changes.
To prevent IP bans and maintain pipeline stability, we route requests through residential proxies and enforce strict concurrency limits, mimicking organic browsing patterns.
SaaS companies serving the wedding industry extract vendor contact details and website URLs to build targeted outbound sales lists.
Analysts track the frequency of specific colour palettes, styles, and seasonal preferences to forecast upcoming bridal trends.
Regional wedding directories populate their initial databases by extracting publicly listed vendors and their service areas.
Bridal fashion brands monitor Real Weddings to see which dress designers and accessory brands are frequently featured together.
Event spaces track competitor venues to understand their feature rates, typical wedding styles, and preferred vendor networks.
Machine learning teams use structured gallery metadata (images paired with style and colour tags) to train computer vision models for the wedding sector.
"Style Me Pretty holds the industry's most structured metadata on vendor relationships and visual trends, but extracting it requires navigating heavy client-side rendering."
Most teams underestimate the investment required: reliable Style Me Pretty scraping requires full JavaScript rendering for infinite-scroll galleries, complex asset URL normalisation, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our stylemepretty.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.
Scrapy handles crawl orchestration and deduplication, while Playwright manages client-side rendering for image galleries and infinite scroll interfaces.
We route requests through ISP-grade residential proxies to bypass rate limits and ensure consistent access to vendor directory pages.
Pipelines run on Kubernetes with Airflow handling scheduling and dependency management. All state is stored in managed PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About stylemepretty.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available data, such as public vendor directories and published real weddings, is generally permissible. DataFlirt extracts only public, non-authenticated information. We do not bypass login walls or extract private user inspiration boards. Clients must ensure their downstream use of contact information complies with relevant spam and data privacy regulations.
We use Playwright to execute client-side JavaScript, programmatically scrolling the viewport and waiting for network idle states to ensure all lazy-loaded images are injected into the DOM before extraction.
Our standard pipelines extract the normalised CDN URLs of the images, along with associated metadata (alt text, dominant colours). If you require the physical image files downloaded and transferred to your S3 bucket, we can configure a custom pipeline for asset ingestion.
Yes. Our schema captures the relational graph. Every Real Wedding record includes an array of credited vendors, and we attempt to map these back to their Little Black Book profile IDs where exact matches exist.
For vendor directories and editorial content, we typically recommend weekly or monthly delta runs, as the underlying data does not change rapidly enough to justify real-time polling.
We extract contact information only when it is explicitly published on the vendor's public Little Black Book profile page.
Yes. We can scope the pipeline to target specific geographic regions (e.g., California, New York) or specific vendor categories (e.g., Photography, Floral Design) to reduce unnecessary data volume.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full export of the Little Black Book or continuous monitoring of Real Wedding trends — we scope, build, and operate the pipeline. Tell us what you need.
