# Image Metadata Extractor - EXIF, GPS, Camera Data (`santamaria-automations/image-metadata-extractor`) Actor Extract EXIF, XMP, IPTC metadata from any image URL including camera make/model, GPS coordinates, date taken, ISO, aperture, shutter speed, copyright, and keywords. Export data, run via API, schedule and monitor runs, or integrate with other tools. - **URL**: https://apify.com/santamaria-automations/image-metadata-extractor.md - **Developed by:** [Alessandro Santamaria](https://apify.com/santamaria-automations) (community) - **Categories:** Developer tools, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 image analyzeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 ## Image Metadata Extractor - EXIF, GPS, Camera Data Extract every hidden detail from any image — camera, GPS, timestamps, copyright — in seconds. Point this actor at any image URL and get back a structured record of everything embedded in the file: the exact camera and lens, when and where the photo was taken, every exposure setting, copyright and author tags, orientation, and color space. Works in bulk across hundreds of URLs in a single run. ### What you get - **Camera & lens** — make, model, firmware, lens model - **GPS coordinates** — latitude, longitude, altitude, timestamp - **Date taken** — original, digitized and last-modified timestamps - **Exposure settings** — ISO, aperture, shutter speed, focal length, flash, metering - **Copyright & authorship** — artist, copyright, description, IPTC rights - **Orientation & color** — EXIF orientation tag, color space - **Bulk processing** — hundreds of images per run, parallel and safe - **All major formats** — JPEG, HEIF/HEIC, TIFF, PNG, BMP, WEBP, AVIF, RAW (CR2, CR3, NEF, ARW, DNG) ### Example output Input: ```` https://raw.githubusercontent.com/ianare/exif-samples/master/jpg/gps/DSCN0010.jpg ```` Output: ```json { "url": "https://raw.githubusercontent.com/ianare/exif-samples/master/jpg/gps/DSCN0010.jpg", "success": true, "file_size_bytes": 161713, "mime_type": "image/jpeg", "format": "JPEG", "width_px": 640, "height_px": 480, "camera_make": "NIKON", "camera_model": "COOLPIX P6000", "software": "Nikon Transfer 1.1 W", "datetime_original": "2008-10-22T16:28:39Z", "datetime_digitized": "2008-10-22T16:28:39Z", "datetime_modified": "2008-11-01T21:15:07Z", "iso": 64, "aperture": 5.9, "shutter_speed": "1/75", "focal_length_mm": 24, "focal_length_35mm": 112, "flash": "Off, Did not fire", "exposure_program": "Program AE", "metering_mode": "Multi-segment", "gps_latitude": 43.4674483, "gps_longitude": 11.8851267, "gps_datetime": "2008-10-23T14:27:07Z", "gps_has_coordinates": true, "orientation": 1, "scraped_at": "2026-04-11T17:21:05Z" } ```` The GPS coordinates resolve to a location in Tuscany, Italy — instantly geolocating the photo without a single manual lookup. ### Use cases - **Forensics & evidence analysis** — verify exactly when and where a photo was captured, which camera produced it, and whether timestamps have been modified - **Content moderation** — flag user-uploaded images carrying embedded metadata that should be stripped before publication - **Copyright verification** — pull IPTC rights, artist and copyright tags to confirm the creator of an image - **Photo cataloging** — bulk-extract metadata for large photo libraries, DAM systems and archives - **OSINT research** — geolocate images from GPS tags and cross-reference with camera and timestamp data - **Privacy auditing** — detect whether images uploaded by your users are leaking their home location through GPS tags - **Real estate & listings** — verify photo timestamps and camera models on property or product listings to catch reused or stale images ### Pricing | Event | Price | |-------|-------| | Actor start | $0.001 | | Image processed | $0.002 | **Example**: Process 1,000 images ≈ **$2.00** No monthly fees. Pay only for what you extract. ### Issues & Feedback Found a bug or have a feature request? [Open an issue on the Issues tab](https://console.apify.com/actors/ACTOR_ID_PLACEHOLDER/issues) — we respond within 24 hours. ### Related Actors - [PDF Text Extractor](https://apify.com/santamaria-automations/pdf-extractor) — extract PDF metadata and full text content - [Website Contact Extractor](https://apify.com/santamaria-automations/website-contact-extractor) — pull emails, phones and social links from any site - [SEO Metadata Extractor](https://apify.com/santamaria-automations/seo-metadata-extractor) — grab title, meta description, Open Graph tags at scale - [Domain WHOIS & DNS](https://apify.com/santamaria-automations/domain-whois-dns) — domain ownership, registrar and DNS records # Actor input Schema ## `imageUrls` (type: `array`): List of direct image URLs to download and analyze. Supports JPEG, HEIF/HEIC, TIFF, PNG, RAW (CR2/CR3/NEF/ARW/DNG) and more. ## `maxFileSizeMB` (type: `integer`): Images larger than this limit will be skipped. Protects against runaway downloads on huge RAW files. ## `extractEXIF` (type: `boolean`): Pull camera, lens, timestamps, ISO, aperture, shutter speed, flash, orientation, color space. ## `extractXMP` (type: `boolean`): Pull XMP/IPTC copyright, artist, description, keywords when available. ## `extractGPS` (type: `boolean`): Pull GPS latitude, longitude, altitude, and GPS timestamp when embedded in the image. ## `timeoutSeconds` (type: `integer`): Per-image download and parsing timeout. Increase for very large RAW files on slow connections. ## `proxyConfiguration` (type: `object`): Optional proxy for downloading images from restricted sources. ## Actor input object example ```json { "imageUrls": [ "https://raw.githubusercontent.com/ianare/exif-samples/master/jpg/gps/DSCN0010.jpg", "https://raw.githubusercontent.com/ianare/exif-samples/master/jpg/Canon_40D.jpg" ], "maxFileSizeMB": 50, "extractEXIF": true, "extractXMP": true, "extractGPS": true, "timeoutSeconds": 30, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `extractions` (type: `string`): Dataset containing one extraction record per input image URL # 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 = { "imageUrls": [ "https://raw.githubusercontent.com/ianare/exif-samples/master/jpg/gps/DSCN0010.jpg", "https://raw.githubusercontent.com/ianare/exif-samples/master/jpg/Canon_40D.jpg" ] }; // Run the Actor and wait for it to finish const run = await client.actor("santamaria-automations/image-metadata-extractor").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 = { "imageUrls": [ "https://raw.githubusercontent.com/ianare/exif-samples/master/jpg/gps/DSCN0010.jpg", "https://raw.githubusercontent.com/ianare/exif-samples/master/jpg/Canon_40D.jpg", ] } # Run the Actor and wait for it to finish run = client.actor("santamaria-automations/image-metadata-extractor").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 '{ "imageUrls": [ "https://raw.githubusercontent.com/ianare/exif-samples/master/jpg/gps/DSCN0010.jpg", "https://raw.githubusercontent.com/ianare/exif-samples/master/jpg/Canon_40D.jpg" ] }' | apify call santamaria-automations/image-metadata-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=santamaria-automations/image-metadata-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Image Metadata Extractor - EXIF, GPS, Camera Data", "description": "Extract EXIF, XMP, IPTC metadata from any image URL including camera make/model, GPS coordinates, date taken, ISO, aperture, shutter speed, copyright, and keywords. Export data, run via API, schedule and monitor runs, or integrate with other tools.", "version": "1.0", "x-build-id": "eR5k5IIubwD6tlNOi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/santamaria-automations~image-metadata-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-santamaria-automations-image-metadata-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/santamaria-automations~image-metadata-extractor/runs": { "post": { "operationId": "runs-sync-santamaria-automations-image-metadata-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/santamaria-automations~image-metadata-extractor/run-sync": { "post": { "operationId": "run-sync-santamaria-automations-image-metadata-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "imageUrls" ], "properties": { "imageUrls": { "title": "Image URLs", "type": "array", "description": "List of direct image URLs to download and analyze. Supports JPEG, HEIF/HEIC, TIFF, PNG, RAW (CR2/CR3/NEF/ARW/DNG) and more.", "items": { "type": "string" } }, "maxFileSizeMB": { "title": "Max File Size (MB)", "minimum": 1, "maximum": 500, "type": "integer", "description": "Images larger than this limit will be skipped. Protects against runaway downloads on huge RAW files.", "default": 50 }, "extractEXIF": { "title": "Extract EXIF", "type": "boolean", "description": "Pull camera, lens, timestamps, ISO, aperture, shutter speed, flash, orientation, color space.", "default": true }, "extractXMP": { "title": "Extract XMP / IPTC", "type": "boolean", "description": "Pull XMP/IPTC copyright, artist, description, keywords when available.", "default": true }, "extractGPS": { "title": "Extract GPS", "type": "boolean", "description": "Pull GPS latitude, longitude, altitude, and GPS timestamp when embedded in the image.", "default": true }, "timeoutSeconds": { "title": "Timeout (seconds)", "minimum": 5, "maximum": 600, "type": "integer", "description": "Per-image download and parsing timeout. Increase for very large RAW files on slow connections.", "default": 30 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional proxy for downloading images from restricted sources.", "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 } } } } } } } } } } ```