🎨 Civitai Public Models API Scraper

🚀 Export Civitai public model metadata in seconds. ID, name, type, creator, downloads, favorites, rating, tags, NSFW flag, base model, versions, and file size, straight from the public civitai.com API.

🕒 Last updated: 2026-06-05 · 📊 15 fields per record · Full Civitai catalogue · Checkpoints, LoRAs, ControlNets, VAEs, and more

The Civitai Public Models API Scraper turns the civitai.com/api/v1/models public REST endpoint into a clean dataset. It paginates through the catalogue with whatever sort, type, base model, and NSFW filters you supply, then flattens each model into one row.

Coverage spans the full Civitai catalogue, the largest open community for Stable Diffusion checkpoints, LoRAs, ControlNets, textual inversions, VAEs, and motion modules. Each row carries id, name, type, creator, download and favorite counts, rating, tags, NSFW flag, base model name, version count, and first file size in KB.

🎯 Target Audience	💡 Primary Use Cases
🎨 AI artists	Discover top LoRAs and checkpoints
📊 ML researchers	Track open generative model ecosystem
🏢 Platform teams	Mirror Civitai into internal galleries
🧑‍🎓 Educators	Curate generative art teaching sets
📰 AI journalists	Source community gen-AI stories
👩‍💻 Developers	Power discovery features with Civitai data

📋 What the Civitai Public Models API Scraper does

• Calls /api/v1/models with your chosen sort, query, type, and base model filters.
• Paginates via the Civitai cursor field.
• Flattens nested stats, creator, and first-version data into top-level fields.
• Surfaces upstream errors as a clean error record.
• Exports as CSV, Excel, JSON, JSONL, XML, RSS, or HTML.

💡 Why it matters: Civitai is the open hub for Stable Diffusion and related generative models. This actor turns its catalogue into a structured dataset for trend tracking and discovery.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

Field	Type	Required	Description
query	string	No	Free-text search across model names.
maxItems	integer	No	Free users 10, paid up to 1,000,000. Prefill is 10.
sort	enum	No	Highest Rated, Most Downloaded, or Newest.
type	enum	No	Checkpoint, LoRA, ControlNet, etc.
baseModel	string	No	SD 1.5, SDXL 1.0, Pony, Flux.1 D.
nsfw	boolean	No	Allow NSFW models. Default false.

Example 1, top rated checkpoints:

{ "sort": "Highest Rated", "type": "Checkpoint", "maxItems": 50 }

Example 2, SDXL LoRAs:

{ "type": "LORA", "baseModel": "SDXL 1.0", "maxItems": 100 }

⚠️ Good to Know: The Civitai API is public. Optionally set a CIVITAI_API_KEY environment variable for higher rate limits. The key is read server-side and never exposed in the input.

📊 Output

Field	Type	Description
🆔 id	number	Civitai model id.
🎨 name	string	Model name.
🏷️ type	string	Model type.
👤 creator	string	Creator username.
⬇️ downloadCount	number	Download count.
❤️ favoriteCount	number	Favorite count.
⭐ rating	number	Average rating.
🏷️ tags	array	Tag array.
🔞 nsfw	boolean	NSFW flag.
🧠 baseModel	string	Base model for the first version.
🔖 versions	number	Total version count.
💾 fileSize	number	First-file size in KB.
🔗 url	string	Direct link.
🕒 scrapedAt	string	When fetched.
❌ error	string	Set if the upstream response was an error.

Sample record:

{
  "id": 12345,
  "name": "Vintage Film LoRA",
  "type": "LORA",
  "creator": "artistx",
  "downloadCount": 84231,
  "favoriteCount": 4231,
  "rating": 4.92,
  "tags": ["style","film","retro"],
  "nsfw": false,
  "baseModel": "SDXL 1.0",
  "versions": 3,
  "fileSize": 152300,
  "url": "https://civitai.com/models/12345",
  "scrapedAt": "2026-06-05T12:00:00.000Z",
  "error": null
}

✨ Why choose this Actor

| 🆓 | Public Civitai API, no key required (optional for higher rate limits). | | 🎨 | Built for the Stable Diffusion ecosystem. | | 🔢 | Casts download, favorite, and rating counts for clean spreadsheet imports. | | 🛟 | Surfaces upstream errors as clean rows. | | 🔌 | Sort, query, type, base model, and NSFW filters exposed. | | 💾 | Push to dataset for CSV, Excel, JSON, XML, or RSS export. |

📈 How it compares to alternatives

Approach	Setup	Pagination	Flattening	Export formats
Raw curl	5 min	manual	none	manual
DIY Python script	30 min	yes	partial	code
This Actor	5 seconds	yes	yes	7 formats

🚀 How to use

1. Click Try for free.
2. Pick a sort and optional filters.
3. Click Start. Your dataset is ready in seconds.

💼 Business use cases

🎨 Asset discovery. Find top LoRAs and checkpoints for your art pipeline.

📊 Trend tracking. Monitor how SDXL adoption compares to SD 1.5 by downloads.

🏢 Internal galleries. Mirror Civitai assets into a private discovery UI.

📰 Gen-AI journalism. Build datasets on community taste shifts.

🔌 Automating Civitai Public Models API Scraper

• Make / Zapier: schedule a daily run.
• Cron schedule: native Apify scheduler.
• Webhooks: POST on completion.
• Warehouse pipe: native integrations move datasets straight into BigQuery, Snowflake, or Postgres.

🌟 Beyond business use cases

🎓 Education. Curate generative art teaching sets.

🧪 Personal research. Track what styles the community is producing.

🤝 Non-profit and open data. Open generative-AI ecosystem maps.

🧰 Tinkering and prototyping. Power a Civitai discovery side project.

🤖 Ask an AI assistant about this scraper

Drop this README into ChatGPT, Claude, or any AI assistant and ask it to design a Civitai analytics pipeline. The input fields, schema, and examples above contain everything an LLM needs.

❓ Frequently Asked Questions

❓ API key needed? No. Set CIVITAI_API_KEY env var for higher rate limits.

❓ Filter by type? Yes, Checkpoint, LoRA, ControlNet, and more.

❓ Filter by base model? Yes.

❓ NSFW handling? Off by default. Set nsfw to true to include.

❓ Pagination? Yes, automatic cursor pagination.

❓ Rate limits? Generous public limits.

❓ Excel export? Yes, via the Apify dataset UI.

❓ Schema stability? Core fields are stable.

❓ Scheduling? Yes, via Apify scheduler.

❓ Public data only? Yes.

🔌 Integrate with any app

Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint. Trigger runs from a calendar event, a form submission, a cron job, or pipe results straight into BigQuery, Snowflake, or a Postgres warehouse.

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💡 Pro Tip: browse the complete ParseForge collection for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records.

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