# DxOMark Camera, Lens & Sensor Score Scraper (`jungle_synthesizer/dxomark-camera-lens-sensor-scores-scraper`) Actor Scrapes DxOMark lab-bench scores for cameras, lenses, and sensors. Extracts overall scores, sub-scores (Portrait/Landscape/Sports for sensors; Sharpness/Transmission/Distortion/Vignetting/CA for lenses), review dates, and product metadata. Walks the DxOMark sitemap to discover all products. - **URL**: https://apify.com/jungle\_synthesizer/dxomark-camera-lens-sensor-scores-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## DxOMark Camera, Lens & Sensor Score Scraper Extract objective lab-bench scores for cameras, lenses, and sensors from DxOMark — the world's leading independent image quality measurement authority since 2008. ### What this actor does This actor scrapes scored products from [DxOMark](https://www.dxomark.com/), discovering them via the site's sitemap (3,500+ products). For each product it fetches: - The test/review page to get the overall DxOMark score, protocol type, and review date - The product page to get the brand and full set of sub-scores **Camera sensors** — sub-scores extracted: - Portrait (Color Depth, in bits) - Landscape (Dynamic Range, in EV) - Sports (Low-Light ISO) **Lenses** — sub-scores extracted: - Sharpness (P-Mpix) - Transmission (TStop) - Distortion (%) - Vignetting (EV) - Chromatic Aberration (µm) - Tested-on camera body ### Output data Each record contains: | Field | Type | Description | |-------|------|-------------| | `product_name` | string | Full product name (e.g. "Sony A9 III", "Sigma 90mm F2.8 DG DN") | | `brand` | string | Brand/manufacturer | | `product_type` | string | `camera-sensor` or `lens` | | `mount` | string | Lens mount (where available) | | `dxomark_overall_score` | integer | Overall DxOMark score | | `sub_scores` | string (JSON) | Sub-score key/value pairs as a JSON string | | `sensor_specs` | string | Sensor specifications (reserved for future use) | | `tested_on_body` | string | Camera body used to test the lens (lenses only) | | `launch_price_usd` | number | Launch price in USD (not available in static HTML) | | `rank_in_category` | integer | Rank in category (not available in static HTML) | | `review_url` | string | URL of the DxOMark test/review page | | `review_date` | string | Review publication date | #### Sample output (camera sensor) ```json { "product_name": "Sony a9 III", "brand": "Sony", "product_type": "camera-sensor", "dxomark_overall_score": 87, "sub_scores": "{\"Overall Sensor Score\":87,\"Portrait (Color Depth)\":24.1,\"Landscape (Dynamic Range)\":13,\"Sports (Low-Light ISO)\":3224}", "review_url": "https://www.dxomark.com/sony-a9-iii-sensor-test/", "review_date": "November 14, 2024" } ```` #### Sample output (lens) ```json { "product_name": "Sigma 90 mm F2.8 DG DN (for Sony)", "brand": "Sigma", "product_type": "lens", "dxomark_overall_score": 39, "sub_scores": "{\"Sharpness\":\"35 P-Mpix\",\"Transmission\":\"2.9 TStop\",\"Distortion\":\"1.2 %\",\"Vignetting\":\"-2.1 EV\",\"Chr. aberration\":\"17 µm\"}", "tested_on_body": "Sony A7R IV", "review_url": "https://www.dxomark.com/sigma-90mm-f2-8-dg-dn-for-sony-lens-test/", "review_date": "June 30, 2022" } ``` ### Input configuration | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `maxItems` | integer | Yes | Maximum number of products to scrape | | `startUrls` | array | No | Specific DxOMark test/review page URLs to scrape. Leave empty to discover all products via sitemap. | #### Scrape specific products To scrape specific products, provide their DxOMark test/review page URLs: ```json { "maxItems": 10, "startUrls": [ { "url": "https://www.dxomark.com/sony-a9-iii-sensor-test/" }, { "url": "https://www.dxomark.com/sigma-90mm-f2-8-dg-dn-for-sony-lens-test/" } ] } ``` #### Discover and scrape all products (sitemap crawl) Leave `startUrls` empty to walk the DxOMark sitemap and discover all scored products: ```json { "maxItems": 500 } ``` ### Use cases - **Gear recommendation tools** — build recommendation engines using objective sensor scores - **Affiliate content sites** — programmatically enrich product pages with lab-measured scores - **Price-intelligence platforms** — correlate DxOMark scores with market pricing - **ML training datasets** — build computer vision and image quality models with ground-truth measurements - **Camera comparison apps** — power comparison tools with the same data DxOMark uses ### Notes - No proxy required — DxOMark serves plain HTML with no anti-bot challenges - `launch_price_usd` and `rank_in_category` are loaded via JavaScript on the product page and are not available in the static HTML; both fields output `null` - Smartphone camera tests are filtered out; only camera sensors (`-sensor-test/`) and lenses (`-lens-test/`, `-lens-review/`) are included - The `sub_scores` field is a JSON-encoded string; parse it with `JSON.parse()` in your downstream code # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of scored products to scrape (cameras + lenses combined) ## `startUrls` (type: `array`): Optional list of specific DxOMark test/review page URLs to scrape (e.g. https://www.dxomark.com/sony-a9-iii-sensor-test/). Leave empty to crawl the full DxOMark database via sitemap. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 5, "startUrls": [ { "url": "https://www.dxomark.com/sony-a9-iii-sensor-test/" } ] } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 5, "startUrls": [ { "url": "https://www.dxomark.com/sony-a9-iii-sensor-test/" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/dxomark-camera-lens-sensor-scores-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 5, "startUrls": [{ "url": "https://www.dxomark.com/sony-a9-iii-sensor-test/" }], } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/dxomark-camera-lens-sensor-scores-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 5, "startUrls": [ { "url": "https://www.dxomark.com/sony-a9-iii-sensor-test/" } ] }' | apify call jungle_synthesizer/dxomark-camera-lens-sensor-scores-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/dxomark-camera-lens-sensor-scores-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DxOMark Camera, Lens & Sensor Score Scraper", "description": "Scrapes DxOMark lab-bench scores for cameras, lenses, and sensors. Extracts overall scores, sub-scores (Portrait/Landscape/Sports for sensors; Sharpness/Transmission/Distortion/Vignetting/CA for lenses), review dates, and product metadata. Walks the DxOMark sitemap to discover all products.", "version": "0.1", "x-build-id": "vQAKo2B2Rl9fOzSpZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~dxomark-camera-lens-sensor-scores-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-dxomark-camera-lens-sensor-scores-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/jungle_synthesizer~dxomark-camera-lens-sensor-scores-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-dxomark-camera-lens-sensor-scores-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/jungle_synthesizer~dxomark-camera-lens-sensor-scores-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-dxomark-camera-lens-sensor-scores-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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of scored products to scrape (cameras + lenses combined)", "default": 15 }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Optional list of specific DxOMark test/review page URLs to scrape (e.g. https://www.dxomark.com/sony-a9-iii-sensor-test/). Leave empty to crawl the full DxOMark database via sitemap.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```