We extract DIY tutorials, material specifications, before-and-after image sets, and author metadata from Curbly. 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 Tutorials & Articles objects from curbly.com. All fields typed and schema-versioned.
"url": "https://www.curbly.com/mid-century-modern-desk", "title": "How to Build a Mid-Century Modern Desk", "author": "Bruno Bornsztein", "publish_date": "2023-08-14T10:00:00Z", "category": "Furniture", "tags": "['DIY', 'Woodworking', 'Mid-Century']", "step_count": 8, "comment_count": 24
| # | url | title | author | publish_date | category | tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Material Lists objects from curbly.com. All fields typed and schema-versioned.
"article_url": "https://www.curbly.com/mid-century-modern-desk", "material_name": "Birch Plywood", "quantity": 2, "dimensions": "4x8 ft", "total_cost": 120.0, "tool_required": false, "supplier_link": "https://homedepot.com/..."
| # | article_url | material_name | quantity | dimensions | unit_cost | total_cost |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Project Steps objects from curbly.com. All fields typed and schema-versioned.
"article_url": "https://www.curbly.com/mid-century-modern-desk", "step_number": 3, "step_title": "Cut the base panels", "step_instruction": "Using a table saw, cut the birch plywood into two 24x48 inch panels.", "image_url": "https://curbly.com/images/step3.jpg", "time_estimate": "45 minutes"
| # | article_url | step_number | step_title | step_instruction | image_url | video_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Image Assets objects from curbly.com. All fields typed and schema-versioned.
"article_url": "https://www.curbly.com/mid-century-modern-desk", "image_url": "https://curbly.com/images/hero-final.jpg", "alt_text": "Finished mid-century modern desk in home office", "image_type": "after_shot", "width": 1200, "height": 800, "pin_count": 1402
| # | article_url | image_url | alt_text | caption | image_type | width |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Author Data objects from curbly.com. All fields typed and schema-versioned.
"author_id": "bbornsztein", "name": "Bruno Bornsztein", "bio": "Founder of Curbly. Maker of things.", "profile_url": "https://www.curbly.com/users/bruno", "article_count": 482, "location": "St. Paul, MN", "joined_date": "2006-10-12"
| # | author_id | name | bio | profile_url | article_count | social_links |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Curbly scraper parses unstructured blog content into strict schemas: extracting material lists, step-by-step instructions, and high-resolution project imagery without manual intervention.
Title, publish date, category, tags, and full HTML body content extracted and cleaned into Markdown or plain text.
Identify and extract bulleted material lists, tool requirements, and cost estimates using heuristic parsing.
Extract source URLs for all in-line images, bypassing lazy-loading scripts to retrieve the highest available resolution.
Capture author profiles, bio text, publication dates, and category taxonomies to map content ownership.
Extract user comments, timestamps, and author replies to gauge project popularity and user friction points.
Crawl specific site sections like 'Before & After', 'Furniture', or 'Organization' to build targeted datasets.
Normalise numbered lists and sequential headers into structured JSON arrays representing distinct project steps.
Extract native Pinterest embed links and metadata directly from the DOM for cross-platform trend analysis.
Monitor RSS feeds and category pages to extract only newly published tutorials or updated articles.
Brief in. Clean data out.
Provide categories, author URLs, or keyword sets. We design the extraction schema together.
We configure Scrapy crawlers, DOM parsing rules, and image resolution extraction logic for curbly.com.
Schema validation, null-rate checks, and material list normalisation testing before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Interior design blogs use highly variable layouts. We standardise unstructured HTML into reliable project data.
Blog posts written over a decade feature inconsistent formatting. We use heuristic parsing and fallback XPath selectors to identify material lists, whether they are formatted as HTML lists, bold text, or table rows.
Curbly uses responsive images and lazy-loading for performance. Our pipeline executes JavaScript or parses the srcset attributes to extract the original, high-resolution image URLs required for AI training.
We iterate through category pagination and infinite-scroll implementations to ensure complete historical extraction, capturing tutorials dating back to the site's inception.
We extract numbered steps and sequential headers from the article body, mapping corresponding images to each step to create a structured, step-by-step JSON object.
We implement strict concurrency limits and request delays to extract historical archives without impacting the target site's performance, ensuring stable, long-running pipelines.
Interior design brands analyse tag frequency and material usage to predict upcoming DIY and home decor trends.
Home improvement portals aggregate structured tutorials and material lists to build comprehensive DIY databases.
Hardware retailers map frequently used materials in popular tutorials to optimise local inventory and supply chain models.
Computer vision teams use paired before-and-after room imagery to train generative interior design models.
Marketers extract outbound product links to understand which tools and brands are most frequently recommended by DIY creators.
Publishers analyse category velocity and comment engagement to guide their own editorial calendars.
"Curbly contains over a decade of structured DIY knowledge, but extracting material lists and steps from variable blog layouts requires precision parsing."
Most teams fail at scraping editorial content because DOM structures change across authors and years. DataFlirt uses heuristic parsing and fallback selectors to normalise materials, costs, and steps into strict warehouse schemas, saving you months of regex maintenance.
Everything supported by our curbly.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 high-speed crawl orchestration, while custom Python heuristic modules standardise variable HTML structures into clean JSON.
We utilise fast datacenter proxies with automatic rotation to maintain high throughput while respecting target server rate limits.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About curbly.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We parse the DOM to locate the original image source URLs, bypassing thumbnail versions and lazy-loading placeholders, ensuring you receive the highest resolution available.
Editorial content formatting varies. We deploy custom heuristic parsing that evaluates bullet points, bold text, and table structures to normalise material names, quantities, and dimensions into a strict schema.
Yes. We extract the full comment thread for each article, including user names, timestamps, comment text, and nested author replies.
Yes. We can scope the pipeline to target specific category URLs, tags, or author profiles rather than crawling the entire site archive.
For historical archives, a one-off extraction takes 24-48 hours. For ongoing monitoring, we can configure daily or weekly incremental syncs to capture new publications.
Scraping publicly available factual data, such as material lists and tutorial steps, is generally permissible. However, copyright applies to prose and images. Clients must ensure their use case (e.g., internal analysis, AI training) complies with relevant copyright laws and fair use doctrines.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full historical archive of DIY tutorials or a continuous feed of new interior design projects — we scope, build, and operate the pipeline. Tell us what you need.
