# OpenVerse Image Scraper (`shahidirfan/openverse-image-scraper`) Actor Bulk-download Creative Commons images from OpenVerse instantly. Extract photo URLs, metadata, licenses & attribution automatically. Ideal for content creation, web design, research projects & AI training datasets. Fully structured, legally compliant sourcing. - **URL**: https://apify.com/shahidirfan/openverse-image-scraper.md - **Developed by:** [Shahid Irfan](https://apify.com/shahidirfan) (community) - **Categories:** Automation, Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## OpenVerse Image Scraper Extract comprehensive data from the OpenVerse database with ease. Collect openly licensed and public domain images at scale, perfectly suited for building AI training datasets, sourcing stock photos, and comprehensive research. ### Features - **Keyword Search** — Find specific images matching your query. - **License Filtering** — Narrow down results to specific Creative Commons licenses or public domain status. - **Source Selection** — Target specific providers like Flickr, Wikimedia, Rawpixel, and more. - **High Performance** — Extract data swiftly without limitations using direct API access. - **Clean Data** — Automatically removes empty or null values from the extracted datasets to keep your data structured and pristine. ### Use Cases #### Machine Learning and AI Training Build comprehensive datasets of openly licensed images for training computer vision models without worrying about copyright infringement. #### Content Creation & Curation Source public domain and CC-licensed stock photos for websites, blogs, and marketing materials directly from an enormous catalog. #### Academic Research Gather metadata about image attribution, creator statistics, and license distribution across various providers for large-scale analysis. --- ### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `keyword` | String | Yes | — | Image search keyword(s) | | `license_type` | String | No | — | Comma-separated list of licenses (e.g., `by, cc0`) | | `source` | String | No | — | Comma-separated list of sources (e.g., `flickr`) | | `sort` | String | No | — | Sort order (e.g., `relevance` or `newest`) | | `results_wanted` | Integer | No | `20` | Maximum results to collect | --- ### Output Data Each extracted item in the dataset contains comprehensive image metadata: | Field | Type | Description | |-------|------|-------------| | `id` | String | Unique OpenVerse identifier | | `title` | String | Image title | | `url` | String | Direct URL to the high-resolution image | | `foreign_landing_url` | String | URL to the image on the original provider's website | | `creator` | String | Name of the image creator | | `license` | String | Creative Commons license type | | `provider` | String | Name of the provider (e.g., flickr) | | `attribution` | String | Complete attribution string for easy use | --- ### Usage Examples #### Basic Image Search Extract 50 nature images: ```json { "keyword": "nature", "results_wanted": 50 } ```` #### Specific License Extraction Extract public domain (CC0) technology images from Flickr: ```json { "keyword": "technology", "license_type": "cc0", "source": "flickr", "results_wanted": 100 } ``` *** ### Sample Output ```json { "id": "260c0ca9-35a4-41a4-b1e0-e13339a2b31d", "title": "Computer Test", "foreign_landing_url": "https://www.flickr.com/photos/74362028@N00/2099250160", "url": "https://live.staticflickr.com/2287/2099250160_e1ceb65c97_b.jpg", "creator": "flatiron32", "creator_url": "https://www.flickr.com/photos/74362028@N00", "license": "by-nc", "license_version": "2.0", "provider": "flickr", "source": "flickr", "attribution": "\"Computer Test\" by flatiron32 is licensed under CC BY-NC 2.0. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc/2.0/.", "mature": false, "height": 768, "width": 1024 } ``` *** ### Tips for Best Results #### Optimize Collection Size - Start with a small `results_wanted` (like 20) to preview the output data structure. - Increase the limit once you confirm the parameters accurately target your needs. #### Precise Filtering - Use specific license codes like `pdm` (Public Domain Mark), `cc0`, `by`, `by-sa`. - Providing a specific `source` (like `wikimedia` or `rawpixel`) yields more homogeneous data. *** ### Integrations Connect your extracted image data with: - **Google Sheets** — Export metadata for quick review - **Airtable** — Build searchable image databases - **Make** — Create automated data enrichment workflows #### Export Formats Download your extracted data in multiple formats: - **JSON** — For developers and APIs - **CSV** — For spreadsheet analysis *** ### Frequently Asked Questions #### Can I scrape multiple pages? Yes, the actor automatically handles pagination to reach your desired result count. #### Are these images free to use? OpenVerse aggregates openly licensed and public domain works, but you must respect the provided `license` and `attribution` requirements for each image. #### What if data is missing? Some fields (like `category` or `filesize`) might be missing if the original provider doesn't supply them. The actor automatically removes null fields to keep your dataset clean. *** ### Support For issues or feature requests, contact support through the Apify Console. #### Resources - [Apify Documentation](https://docs.apify.com/) - [API Reference](https://docs.apify.com/api/v2) *** ### Legal Notice This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with website terms of service, honoring the specified image licenses, and adhering to applicable laws. Use data responsibly. # Actor input Schema ## `keyword` (type: `string`): Image search keyword(s), e.g., 'nature', 'technology'. ## `license_type` (type: `string`): Select the license type. ## `source` (type: `string`): Select the image source provider. ## `sort` (type: `string`): Sort the results. ## `results_wanted` (type: `integer`): The maximum number of images to collect. ## `proxyConfiguration` (type: `object`): Use Apify Proxy. ## Actor input object example ```json { "keyword": "nature", "license_type": "", "source": "", "sort": "relevance", "results_wanted": 20, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keyword": "nature", "results_wanted": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("shahidirfan/openverse-image-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keyword": "nature", "results_wanted": 20, } # Run the Actor and wait for it to finish run = client.actor("shahidirfan/openverse-image-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keyword": "nature", "results_wanted": 20 }' | apify call shahidirfan/openverse-image-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=shahidirfan/openverse-image-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "OpenVerse Image Scraper", "description": "Bulk-download Creative Commons images from OpenVerse instantly. Extract photo URLs, metadata, licenses & attribution automatically. Ideal for content creation, web design, research projects & AI training datasets. Fully structured, legally compliant sourcing.", "version": "0.0", "x-build-id": "TMHAsZm8DPzgs4X4l" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/shahidirfan~openverse-image-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-shahidirfan-openverse-image-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/shahidirfan~openverse-image-scraper/runs": { "post": { "operationId": "runs-sync-shahidirfan-openverse-image-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/shahidirfan~openverse-image-scraper/run-sync": { "post": { "operationId": "run-sync-shahidirfan-openverse-image-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "keyword" ], "properties": { "keyword": { "title": "Keyword", "type": "string", "description": "Image search keyword(s), e.g., 'nature', 'technology'." }, "license_type": { "title": "License Type", "enum": [ "", "by", "by-sa", "by-nd", "by-nc", "by-nc-sa", "by-nc-nd", "pdm", "cc0" ], "type": "string", "description": "Select the license type.", "default": "" }, "source": { "title": "Source", "enum": [ "", "flickr", "wikimedia", "rawpixel", "met" ], "type": "string", "description": "Select the image source provider.", "default": "" }, "sort": { "title": "Sort order", "enum": [ "relevance", "newest", "trending" ], "type": "string", "description": "Sort the results.", "default": "relevance" }, "results_wanted": { "title": "Maximum number of results", "minimum": 1, "type": "integer", "description": "The maximum number of images to collect.", "default": 20 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Use Apify Proxy.", "default": { "useApifyProxy": false } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```