SYSTEM all green source dribbble.com queue 18,492 profiles p99 latency 214ms dataflirt.com · scraper/dribbble-com
RUN · 87 active pipelines · dribbble.com live

Dribbble data,
at warehouse scale.

We extract design shots, designer profiles, engagement metrics, colour palettes, and agency data from Dribbble. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.

Shots extracted
1.8M /day
Profile updates
342K /24h
Tags indexed
12.4M /run
Active pipelines
87
Uptime
99.98%
Data Dictionary

Every field we extract from dribbble.com

Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.

Complete list of extractable fields for Design Shots objects from dribbble.com. All fields typed and schema-versioned.

shot_idtitledesigner_usernameimage_urlvideo_urllikes_countviews_countsaves_countcolour_palettesoftware_usedtagscategorypublished_at
design_shots
● 200 OK
"shot_id": "21849302",
"title": "Modern Interior Architecture Concept",
"designer_username": "arch_studio_x",
"views_count": 14209,
"likes_count": 1204,
"colour_palette": "['#1A1A1A', '#F5F5F5', '#D4AF37']",
"software_used": "['Blender', 'Figma']",
"tags": "['architecture', 'interior', '3d', 'minimalist']"
# shot_idtitledesigner_usernameimage_urlvideo_urllikes_count
1
2
3

Complete list of extractable fields for Designer Profiles objects from dribbble.com. All fields typed and schema-versioned.

usernamefull_namelocationpro_statusavailable_for_workskillsportfolio_urlfollowers_countfollowing_countshot_countbiographyjoined_date
designer_profiles
● 200 OK
"username": "arch_studio_x",
"full_name": "Elena Rostova",
"location": "Berlin, Germany",
"pro_status": true,
"available_for_work": true,
"followers_count": 48291,
"shot_count": 142,
"skills": "['3D Modeling', 'Interior Design', 'Architecture']"
# usernamefull_namelocationpro_statusavailable_for_workskills
1
2
3

Complete list of extractable fields for Agencies & Teams objects from dribbble.com. All fields typed and schema-versioned.

team_idnamelocationmember_countopen_rolesshot_countclient_listwebsite_urlcontact_emailfollowers_countabout_text
agencies_& teams
● 200 OK
"team_id": "tm_93812",
"name": "Spatial Design Co",
"location": "London, UK",
"member_count": 14,
"open_roles": 2,
"shot_count": 312,
"website_url": "https://spatialdesign.co",
"followers_count": 89210
# team_idnamelocationmember_countopen_rolesshot_count
1
2
3

Complete list of extractable fields for Comments & Engagement objects from dribbble.com. All fields typed and schema-versioned.

comment_idshot_idauthor_usernametextposted_atlikes_countreplies_countdesigner_replypro_commenter
comments_& engagement
● 200 OK
"comment_id": "c_849201",
"shot_id": "21849302",
"author_username": "design_critic",
"text": "The lighting in this render is exceptional. What engine did you use?",
"posted_at": "2026-05-12T14:22:00Z",
"likes_count": 34,
"designer_reply": true,
"pro_commenter": true
# comment_idshot_idauthor_usernametextposted_atlikes_count
1
2
3

Complete list of extractable fields for Job Board objects from dribbble.com. All fields typed and schema-versioned.

job_idcompany_nametitlelocationremote_eligiblesalary_rangejob_typeposted_dateapply_urldescriptionrequired_skills
job_board
● 200 OK
"job_id": "jb_49201",
"company_name": "Fintech UI",
"title": "Senior Product Designer",
"location": "New York, NY",
"remote_eligible": true,
"job_type": "Full-Time",
"posted_date": "2026-05-10",
"required_skills": "['Figma', 'Prototyping', 'Design Systems']"
# job_idcompany_nametitlelocationremote_eligiblesalary_range
1
2
3

Capabilities

Everything you need from Dribbble. Nothing you don't.

Our Dribbble scraper handles every layer of the platform: visual assets, designer availability, dynamic pagination, and GraphQL interception with antibot circumvention built in.

Colour Palette Extraction

Extract exact hex codes from every design shot, allowing you to build trend analysis datasets based on colour usage over time.

Asset URL Normalisation

Capture high resolution image URLs, MP4 video links, and animated GIF sources directly from the presentation layer.

Tag & Tool Metadata

Index every tag and software tool listed on a shot, from Figma and Blender to specific architectural rendering engines.

Hire Me Status Tracking

Monitor availability signals across millions of profiles to identify when top tier designers and architects open up for freelance work.

Team Profile Parsing

Differentiate individual creatives from agency accounts. Extract member lists, client rosters, and open roles from team pages.

Job Board Scraping

Extract active job listings including salary bands, remote eligibility, and required skills from the Dribbble talent board.

GraphQL Interception

Bypass rate limited REST endpoints by directly intercepting and parsing Dribbble internal GraphQL pagination queries.

Engagement Metric Tracking

Track likes, views, saves, and comment velocity across specific categories to identify trending aesthetic movements.

Scheduled Updates

Run single bulk exports or configure continuous pipelines at daily cadences with strict change detection diffing.

// engagement pipeline

From username list to warehouse record

Brief in. Clean data out.

Define Scope
d 0

Provide search keywords, category filters, or user lists. We design the extraction schema together.

Pipeline Build
d 2–4

We configure Scrapy crawlers, GraphQL interceptors, proxy rotation, and session management for dribbble.com.

Validation & QA
d 4–6

Schema validation, null rate checks, media URL verification, and sample datasets before full launch.

Delivery
ongoing

JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.

Under the hood

How our Dribbble pipeline handles the hard parts

Dribbble relies heavily on React and GraphQL for dynamic content delivery. Here is how we stay resilient and why teams choose managed infrastructure over DIY.

pipeline-monitor · dribbble.com · live ● active
// fingerprinting
Identity rotation
TLS fingerprintrandomised
User-agentrotated
IP poolresidential
Challenges blocked0
// pagination
Page coverage
48,291 pages queued running
// observability
Pipeline health
99.9%
uptime
142ms
p99 lat
0.3%
null rate
2
alerts
Antibot layer
Residential proxy rotation and fingerprinting

Dribbble employs strict rate limiting and Cloudflare protection. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management trained on real user behaviour patterns.

GraphQL parsing
Direct API interception for infinite scroll

Dribbble heavily utilises GraphQL for its infinite scroll feeds. Instead of brittle DOM scraping, we intercept and parse the structured JSON responses directly from the network layer, ensuring perfect data fidelity and faster execution.

Media resolution
Asset URL normalisation

Shots are served in multiple resolutions and formats depending on the viewport. We normalise all media extraction to capture the highest resolution source files, including raw MP4s for animated UI and 3D renders.

Change detection
Only export what changes

For large talent directories, we maintain a hash index of last seen values per profile. Subsequent runs only push diffs, reducing compute cost, storage bloat, and downstream processing load. You get a clean changelog.

Monitoring
Continuous pipeline health checks

Every run emits structured logs to our observability stack. We alert on null rate spikes, missing asset URLs, schema drift, and coverage drops. We respond before you notice.

Applications

Who uses Dribbble data and how

Teams across industries use dribbble.com data to build competitive products and smarter operations.

01
Talent Acquisition & Sourcing

Recruiters and HR tech platforms index available designers, filtering by specific software skills and location to build talent pools.

02
Visual Trend Analysis

Design agencies track colour palettes, typography tags, and software usage over time to quantify shifts in UI and architectural aesthetics.

03
Lead Generation

B2B sales teams extract agency profiles, client lists, and contact information to prospect into design and architecture firms.

04
AI Training Datasets

Machine learning teams use structured metadata and high resolution image URLs to train diffusion models and design generation algorithms.

05
Competitor Benchmarking

Brands monitor rival agency output, tracking engagement metrics on new case studies to measure campaign effectiveness.

06
Market Research

Analysts track job posting volume and salary bands on the Dribbble job board to gauge the health of the creative economy.

Why DataFlirt

"Dribbble represents the largest index of professional design portfolios globally. Parsing millions of media assets and colour palettes requires dedicated infrastructure."

Most teams underestimate the compute required to continuously index graphic assets, intercept GraphQL pagination, and track designer availability states. DataFlirt manages the proxy rotation, API inspection, and asset normalisation so your data engineering team can focus on downstream analytics.

Technical Spec

Dribbble scraper technical capabilities

Everything supported by our dribbble.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.

GraphQL interception
Direct parsing of internal API responses for infinite scroll feeds
Supported
Media URL extraction
Capture of high resolution images, MP4s, and animated GIFs
Supported
Colour palette hex extraction
Exact hex codes parsed from the shot metadata
Supported
Pro member filtering
Identify premium accounts and exclusive portfolio links
Supported
Hire Me availability
Track binary availability status for freelance work
Supported
Team member enumeration
Extract all linked individual accounts from an agency profile
Supported
Job board parsing
Full text extraction of job descriptions and salary bands
Supported
Change detection
Hash based diffing to only emit records with changed fields
Supported
Direct message (DM) extraction
Private messaging requires authenticated session access
Partial
Private / Draft shots
Unpublished work hidden behind account authentication
Partial
Infrastructure

Infrastructure powering the Dribbble pipeline

Open-source tooling on proven cloud infra — no vendor lock-in, full observability.

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheus
Scrapy + Playwright Stack

Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering, GraphQL interception, and interaction flows. Combined via custom middleware.

Residential Proxy Infrastructure

We maintain pools of residential ISP proxies across multiple regions. Rotation happens per request with sticky sessions where required to bypass Cloudflare.

Cloud Native Orchestration

Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.

Output & Delivery

Your data, your destination

Data delivered to where your team already works — no new tooling required.

JSON
Newline delimited or nested schema versioned per run
CSV
Flat file with typed columns for simple imports
XLS
Excel compatible format for non technical stakeholders
Parquet
Columnar format for BigQuery, Snowflake, Athena
AWS S3
Direct bucket delivery compatible with any data lake
Webhook
HTTP POST per record for real time downstream processing
API
REST endpoints to query your extracted datasets on demand
PostgreSQL
Direct upsert into your existing relational schema
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About dribbble.com scraping, legality, and pipeline operations.

Ask us directly →
Is scraping Dribbble legal?

Scraping publicly available information from Dribbble is generally permissible under applicable law. DataFlirt targets only public, non authenticated design shots, profile data, and job listings. We do not extract private messages or circumvent authentication walls. Clients should review Dribbble ToS and consult legal counsel for specific use cases.

How do you handle infinite scroll feeds?

Rather than simulating mouse scrolls in a headless browser, we intercept the underlying GraphQL queries that Dribbble uses to fetch new content. This allows us to paginate through thousands of shots rapidly and reliably without UI rendering overhead.

Can you extract high resolution images?

Yes. We parse the media arrays within the shot metadata to locate the highest resolution source URLs available, including raw MP4 files for animated elements and 3D renders.

How fresh is the data?

Full catalogue refreshes at daily cadence complete within a 4 to 8 hour window depending on category size. Targeted pipelines tracking specific agency profiles or job boards can run at hourly intervals.

Do you track designer availability?

Yes. We extract the Hire Me boolean status from designer profiles. By running continuous pipelines, you can build a time series of when specific creatives become available for new projects.

What is the minimum viable engagement?

Our smallest packages start at a defined keyword or category list with weekly delivery. For full platform indexing or custom schema requirements, we price based on compute volume and delivery frequency.

Can I request a sample dataset before committing?

Absolutely. We provide a sample run of up to 1,000 shots or profiles as part of the pre engagement scoping process so you can validate schema fit and data quality before signing any contract.

$ dataflirt scope --new-project --source=dribbble.com ready

Tell us what
to extract.
We do the rest.

20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a single export of architecture portfolios or a continuous feed of UI designers available for hire, we scope, build, and operate the pipeline. Tell us what you need.

hello@dataflirt.com · Bengaluru · IST · typical reply < 4h
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