We extract package manifests, publisher intelligence, release channels, and update frequencies from Snapcraft.io. 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 App Listings objects from snapcraft.io. All fields typed and schema-versioned.
"package_name": "vlc", "title": "VLC", "publisher": "videolan", "license": "GPL-2.0", "category": "Video", "summary": "The ultimate media player", "icon_url": "https://dashboard.snapcraft.io/site_media/appmedia/2018/07/vlc.png", "website_url": "https://www.videolan.org/"
| # | package_name | title | publisher | summary | description | license |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Release Channels objects from snapcraft.io. All fields typed and schema-versioned.
"package_name": "vlc", "track": "latest", "channel": "stable", "version": "3.0.18", "architecture": "amd64", "size_bytes": 341829120, "confinement": "strict"
| # | package_name | track | channel | version | architecture | size_bytes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Publisher Data objects from snapcraft.io. All fields typed and schema-versioned.
"publisher_id": "videolan", "publisher_name": "VideoLAN", "verified_status": true, "developer_website": "https://www.videolan.org", "total_packages": 1, "joined_date": "2018-04-12T00:00:00Z"
| # | publisher_id | publisher_name | verified_status | developer_website | contact_email | total_packages |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Manifest objects from snapcraft.io. All fields typed and schema-versioned.
"package_name": "vlc", "base_snap": "core18", "confinement_strictness": "strict", "architectures_supported": "['amd64', 'arm64', 'armhf']", "plugs": "['home', 'network', 'audio-playback']", "slots": "['mpris']", "last_updated": "2023-11-14T09:12:33Z"
| # | package_name | base_snap | confinement_strictness | plugs | slots | architectures_supported |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from snapcraft.io. All fields typed and schema-versioned.
"keyword": "media player", "position": 1, "package_name": "vlc", "title": "VLC", "publisher": "videolan", "featured_badge": true, "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | position | package_name | title | publisher | featured_badge |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Snapcraft.io scraper navigates complex multi-dimensional track matrices, architecture targets, and publisher profiles, delivering normalised package manifests ready for analysis.
Title, summary, description, license, category, and icon assets scraped across the entire public store catalogue.
Track version updates across stable, candidate, beta, and edge channels for every supported architecture.
Capture specific build sizes, revisions, and publication dates for amd64, arm64, armhf, ppc64el, and s390x targets.
Extract confinement levels (strict, classic, devmode) and declared plugs/slots for security auditing.
Monitor verified publisher status, linked domains, and total package counts per developer account.
Track organic search positions and category rankings to monitor app visibility and ecosystem trends.
Identify core runtime dependencies (core18, core20, core22) to map ecosystem migration patterns.
Hash-based diffing ensures downstream pipelines only receive records that have changed since the last run.
Run extractions daily or weekly to build a historical time-series of software updates and release velocity.
Brief in. Clean data out.
Provide package names, publisher IDs, or category URLs. We design the extraction schema together.
We configure Scrapy crawlers, API interceptors, and proxy rotation for snapcraft.io.
Schema validation, null-rate checks, and architecture matrix verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Parsing the Snap store requires resolving complex multi-dimensional matrices of tracks, channels, and architectures. Here is how we manage it.
A single Snap package can have dozens of distinct builds across tracks (latest, 1.0, 2.0), risk levels (stable, edge), and architectures. We normalise this nested JSON matrix into flat, queryable relational records.
While the web frontend presents a simplified view, we target backend API endpoints to extract complete metadata, including precise byte sizes, exact publication timestamps, and hidden legacy tracks.
Snapcraft's API enforces strict rate limits on bulk queries. We distribute requests across a managed proxy pool, pacing concurrency to ensure complete catalogue extraction without triggering 429 errors.
For full-store tracking, we maintain a hash index of last-seen versions per channel. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Publisher metadata and license strings vary wildly. We apply strict typing and normalisation rules to ensure fields like dates, sizes, and booleans are warehouse-ready.
Linux distributions and enterprise architects monitor package availability and update velocity to assess ecosystem health.
Software vendors track competitor release cycles, beta channel activity, and feature velocity.
Security researchers map classic confinement usage and outdated base snaps to identify potential supply chain risks.
DevRel teams track publisher onboarding rates and package publication trends to measure platform adoption.
Enterprise IT teams audit license compliance and publisher verification status across their approved software stacks.
Engineers map base snap dependencies to forecast migration timelines for deprecated core frameworks.
"Snapcraft.io represents the primary distribution vector for Linux desktop software, but its underlying package matrix is highly fragmented across architectures and risk channels."
Parsing the Snap store requires resolving complex multi-dimensional matrices of tracks, channels, and architectures. DataFlirt abstracts this complexity, handling rate limits and schema normalisation so your engineering teams can query clean package manifests directly from your warehouse.
Everything supported by our snapcraft.io 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, targeting undocumented backend APIs for deep package metadata while falling back to DOM parsing for frontend-only assets.
We maintain distributed proxy pools to circumvent aggressive rate limiting on public API endpoints, ensuring complete catalogue coverage without IP bans.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About snapcraft.io scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available package manifests and publisher metadata is generally permissible. DataFlirt targets only public, non-authenticated data. We do not extract private snaps or circumvent authentication walls.
We use distributed proxy pools and request pacing to stay within acceptable request thresholds, preventing 429 Too Many Requests errors while ensuring complete catalogue extraction.
Yes. We extract the full release matrix, including stable, candidate, beta, and edge channels for every supported architecture.
Pipelines can be configured for daily or weekly runs depending on your requirements. Change detection ensures you receive timely updates when new versions are published.
Yes. We capture exact byte sizes, revisions, and publication timestamps for amd64, arm64, armhf, ppc64el, s390x, and i386 targets.
Our packages start at defined tracking lists (e.g., top 1,000 packages or specific publisher portfolios) with weekly delivery. Contact us for a scoped quote based on volume.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full store export or continuous tracking of specific publisher channels, we build and operate the pipeline. Tell us what you need.
