# iNaturalist Scraper — Observations, Taxa & Species (`logiover/inaturalist-scraper`) Actor Scrape iNaturalist by taxon name, place, or keyword. Extract species, location, photo, observer, quality grade, and taxonomy for biodiversity research, conservation, and wildlife monitoring. No API key, no login. - **URL**: https://apify.com/logiover/inaturalist-scraper.md - **Developed by:** [Logiover](https://apify.com/logiover) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## iNaturalist Scraper — Observations, Taxa & Species Data Scrape millions of biodiversity observations from iNaturalist by species, location, or keyword — no API key, no login, fully automated. ### What does iNaturalist Scraper do? iNaturalist Scraper connects to the official iNaturalist open API (`https://api.inaturalist.org/v1/`) to extract wildlife observation data at scale. The actor operates in three modes: **observations** (paginate through thousands of citizen science records filtered by taxon name, place ID, or free-text query), **taxa** (search the iNaturalist species catalog), and **observationDetail** (fetch a single observation by ID with full metadata). The engine uses keyless HTTP GET requests against the `/observations`, `/taxa`, and `/observations/{id}` endpoints, paginating with `page` and `per_page=200` parameters until your `maxResults` cap is reached. Each observation includes the species identification, GPS coordinates, observer username, photo URL, quality grade, and CC license — structured and ready to export to CSV, JSON, or Excel. A single run can pull thousands of research-grade wildlife records across any taxonomic group: birds, mammals, insects, plants, fungi, and more. ### Who is it for? - **Ecologists and conservation researchers** needing bulk georeferenced species occurrence data for distribution modeling or habitat analysis. - **Wildlife NGOs and park managers** tracking species presence in specific regions without manual portal downloads. - **Academic institutions** building datasets for biodiversity informatics, machine learning, or phylogenetics research. - **Data journalists and science communicators** exploring species invasion fronts, climate-linked range shifts, or endangered species trends. - **Developers and data engineers** integrating citizen science biodiversity data into dashboards, apps, or GIS pipelines. ### Use cases - Download all research-grade lion (*Panthera leo*) observations in Africa to map current range and density hotspots. - Extract bird observations by place ID for a national park to power a visitor species checklist app. - Search the taxa endpoint for all Panthera species to get taxonomy, photos, and observation counts. - Pull recent insect observations tagged with a specific keyword to monitor pollinator activity across a region. - Fetch individual observation details including photos and identifications for a curated species gallery or species alert system. ### Why use iNaturalist Scraper? - **Completely keyless** — the iNaturalist API is public and open; no registration or API key required. - **14 structured fields** per observation: ID, species guess, taxon name, rank, iconic taxon, date, place, GPS coordinates, observer, quality grade, photo, URL, and license. - **Bulk pagination** — fetches up to 10,000 records per run with automatic page cycling. - **Three modes** — observations search, taxa/species catalog lookup, and single observation detail. - **Flexible filters** — filter by taxon name, place ID, quality grade (`research`, `needs_id`, `casual`), or free-text query. - **Export to CSV, JSON, Excel, or XML** via Apify platform; integrate with Google Sheets, Zapier, or Make in one click. ### What data can you extract? The actor extracts the following fields per observation or taxon record: | Field | Type | Description | |---|---|---| | `id` | string | Unique iNaturalist observation ID | | `speciesGuess` | string | Common name or species guess by the observer | | `taxonName` | string | Scientific name of the identified taxon | | `taxonRank` | string | Taxonomic rank (species, genus, family, etc.) | | `iconicTaxon` | string | High-level group (Mammalia, Aves, Insecta, Plantae, etc.) | | `observedOn` | string | Date the observation was recorded (YYYY-MM-DD) | | `placeGuess` | string | Human-readable location text provided by the observer | | `latitude` | string | GPS latitude of the observation | | `longitude` | string | GPS longitude of the observation | | `user` | string | iNaturalist username of the observer | | `qualityGrade` | string | Quality grade: `research`, `needs_id`, or `casual` | | `photoUrl` | string | Direct URL to the observation photo (medium size) | | `uri` | string | Canonical URL of the observation on iNaturalist.org | | `license` | string | Creative Commons license code (e.g., `cc-by-nc`) | **Example JSON output:** ```json { "id": "123456789", "speciesGuess": "African Lion", "taxonName": "Panthera leo", "taxonRank": "species", "iconicTaxon": "Mammalia", "observedOn": "2024-03-15", "placeGuess": "Maasai Mara, Kenya", "latitude": "-1.5033", "longitude": "35.1433", "user": "wildlife_observer", "qualityGrade": "research", "photoUrl": "https://inaturalist-open-data.s3.amazonaws.com/photos/12345/medium.jpg", "uri": "https://www.inaturalist.org/observations/123456789", "license": "cc-by-nc" } ```` ### How to use #### Option A — Search observations by taxon name or keyword Set `mode` to `observations` and provide a `taxonName` (scientific or common name) or `query` (free text). Optionally filter by `placeId` and `qualityGrade`. ```json { "mode": "observations", "taxonName": "Panthera leo", "qualityGrade": "research", "maxResults": 500 } ``` #### Option B — Search species catalog (taxa) Set `mode` to `taxa` to search the iNaturalist species catalog. Returns taxonomy, photos, and observation counts for matching species. ```json { "mode": "taxa", "query": "Panthera", "maxResults": 50 } ``` #### Option C — Fetch a single observation by ID Set `mode` to `observationDetail` and provide the `observationId` for a specific iNaturalist observation. ```json { "mode": "observationDetail", "observationId": 12345678 } ``` ### Input parameters | Parameter | Type | Default | Description | |---|---|---|---| | `mode` | string | `observations` | Scraping mode: `observations`, `taxa`, or `observationDetail` | | `query` | string | — | Free-text search query (works in `observations` and `taxa` modes) | | `taxonName` | string | — | Scientific or common taxon name filter (e.g., `Panthera leo`) | | `placeId` | integer | — | iNaturalist place ID to filter geographically (e.g., `1` for USA) | | `qualityGrade` | string | `research` | Quality filter: `research`, `needs_id`, `casual`, or empty for all | | `observationId` | integer | — | Specific observation ID for `observationDetail` mode | | `maxResults` | integer | `200` | Maximum number of records to extract (max 10,000) | | `proxyConfig` | object | Apify Datacenter | Proxy configuration — datacenter proxies work fine | **Full input example:** ```json { "mode": "observations", "taxonName": "Aquila chrysaetos", "placeId": 1, "qualityGrade": "research", "maxResults": 1000, "proxyConfig": { "useApifyProxy": true } } ``` ### Output example ```json { "id": "987654321", "speciesGuess": "Golden Eagle", "taxonName": "Aquila chrysaetos", "taxonRank": "species", "iconicTaxon": "Aves", "observedOn": "2024-06-01", "placeGuess": "Rocky Mountain National Park, Colorado, USA", "latitude": "40.3428", "longitude": "-105.6836", "user": "raptor_watcher", "qualityGrade": "research", "photoUrl": "https://inaturalist-open-data.s3.amazonaws.com/photos/99887/medium.jpg", "uri": "https://www.inaturalist.org/observations/987654321", "license": "cc-by-nc" } ``` ### Tips for best results - **Use scientific names in `taxonName`** for precise filtering — `Panthera leo` returns only lion records, while `query=lion` may match unrelated results. - **Set `qualityGrade=research`** to get verified, community-validated observations with two or more matching identifications. - **Find place IDs** by browsing iNaturalist.org — navigate to a region's page and extract the numeric ID from the URL (e.g., `inaturalist.org/places/6986` → place ID 6986 for Kenya). - **Combine taxonName + placeId** to map species distribution within a specific country or protected area. - **Use `taxa` mode first** to discover the correct scientific name before running a large `observations` scrape. - **Set `maxResults` conservatively** for testing — start with 200, then scale up to 5,000–10,000 for full datasets. - **iNaturalist's API is rate-limited** to ~60 requests/minute per IP — the actor includes automatic retries for 429 responses. - **null fields are expected** — some observations lack GPS coordinates (geoprivacy=obscured) or photos; these fields will be `null`. - **Use `observationDetail` mode** to enrich a list of known observation IDs with complete metadata, including identification history. - **Schedule runs** on Apify to capture new research-grade observations weekly for ongoing species monitoring projects. ### Integrations - **Google Sheets** — export datasets directly to Google Sheets via Apify's built-in integration; update your biodiversity tracking spreadsheet automatically. - **Slack** — configure Apify webhooks to post new observation counts to a Slack channel when a scheduled run completes. - **Zapier / Make** — trigger downstream workflows (email alerts, database inserts, GIS updates) when the actor finishes. - **Webhooks** — call any HTTP endpoint with run metadata and dataset URL on completion. - **Apify Scheduler** — run daily or weekly to capture newly submitted research-grade observations. ### API usage **cURL:** ```bash curl -X POST "https://api.apify.com/v2/acts/logiover~inaturalist-scraper/runs?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"mode":"observations","taxonName":"Panthera leo","qualityGrade":"research","maxResults":500}' ``` **Node.js:** ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_TOKEN' }); const run = await client.actor('logiover/inaturalist-scraper').call({ mode: 'observations', taxonName: 'Panthera leo', qualityGrade: 'research', maxResults: 500, }); const items = await client.dataset(run.defaultDatasetId).listItems(); console.log(items.items); ``` **Python:** ```python from apify_client import ApifyClient client = ApifyClient('YOUR_TOKEN') run = client.actor('logiover/inaturalist-scraper').call(run_input={ 'mode': 'observations', 'taxonName': 'Panthera leo', 'qualityGrade': 'research', 'maxResults': 500, }) for item in client.dataset(run['defaultDatasetId']).iterate_items(): print(item) ``` ### Use with AI agents (MCP) This actor is available as an MCP tool for AI agents. When connected to Claude or another MCP-compatible agent, you can instruct it: *"Use the iNaturalist scraper to pull 1,000 research-grade owl observations in Europe and summarize the species distribution by country."* The agent calls the actor, retrieves the dataset, and processes the results autonomously — no manual data download required. ### FAQ #### Does this actor require an API key or iNaturalist account? No. The iNaturalist API is publicly accessible without any authentication. The actor makes standard GET requests to `api.inaturalist.org/v1/` — no API key, no account, no login needed. #### How many observations can I extract? The iNaturalist database contains over 200 million observations. Each actor run can pull up to 10,000 records (set via `maxResults`). For larger datasets, schedule multiple runs with different place IDs or taxon filters. #### What is a "research grade" observation? Research grade is iNaturalist's highest quality tier — the observation has a photo, a date, coordinates, and at least two community identifications agreeing on the species. These observations are used in scientific publications and GBIF data exports. #### Why are some coordinates null? iNaturalist allows observers to obscure their GPS location for sensitive or endangered species. When geoprivacy is set to `obscured`, the API returns null coordinates. The `placeGuess` field (human-written location text) may still be populated. #### Can I filter by country or region? Yes — use the `placeId` parameter. Find the numeric ID by visiting the country or region page on iNaturalist.org and extracting the ID from the URL. For example, Kenya = `6986`, USA = `1`, Germany = `7082`. #### What taxon groups are covered? All of iNaturalist's iconic groups: Mammalia (mammals), Aves (birds), Reptilia, Amphibia, Insecta, Actinopterygii (fish), Arachnida, Mollusca, Plantae, Fungi, and more — any life form recorded on the platform. #### How often is iNaturalist data updated? Observations are submitted in near-real-time by millions of citizen scientists worldwide. Running the actor daily captures new research-grade submissions as they are community-validated. #### Can I get all species in a genus? Use `taxa` mode with `query` set to the genus name (e.g., `Panthera`). This returns all species, subspecies, and higher ranks matching that name from the iNaturalist taxonomy. #### How do I export to CSV or Excel? In Apify, every dataset can be downloaded as CSV, JSON, XML, or Excel from the dataset view or via API with `?format=csv`. Google Sheets integration is also available in one click. #### Is the photo URL always available? Most research-grade observations include at least one photo. The actor returns the medium-size URL. Some observations may have no photo (sound-only or text-only records), in which case `photoUrl` is null. #### What happens if I get zero results? Check that your `taxonName` is spelled correctly and matches iNaturalist's taxonomy (use `taxa` mode first to verify). Also confirm your `placeId` is valid. Some rare species may have very few or no research-grade observations. #### Is there a rate limit? The iNaturalist public API allows approximately 60 requests per minute per IP. The actor handles 429 responses automatically with exponential back-off and retries. ### Is it legal? iNaturalist observations are published under Creative Commons licenses (primarily CC BY-NC) by the contributors who upload them. The iNaturalist API is publicly documented and designed for programmatic access. This actor retrieves only publicly available observation data. Always respect the `license` field in each record when republishing or using the data commercially — some records are CC BY-NC (non-commercial use only). Review iNaturalist's [Terms of Service](https://www.inaturalist.org/pages/terms) and the applicable Creative Commons license for each observation before use in commercial products. ### Related scrapers - **[GBIF Species Occurrence Scraper](https://apify.com/logiover)** — access the Global Biodiversity Information Facility for curated, peer-reviewed species occurrence data from museum collections worldwide. - **[OpenStreetMap Business & POI Scraper](https://apify.com/logiover/openstreetmap-business-poi-scraper)** — extract geographic features and POIs from OSM for spatial analysis and location intelligence. - **[USGS Earthquake Scraper](https://apify.com/logiover/usgs-earthquake-scraper)** — pull real-time seismic event data from the USGS API for geospatial research. - **[Global Health Stats Scraper](https://apify.com/logiover/global-health-stats-scraper)** — extract WHO/World Bank health indicators for cross-country public health analysis. # Actor input Schema ## `mode` (type: `string`): Scraping mode: 'observations' (search observations), 'taxa' (search species/taxa), or 'observationDetail' (single observation by ID). ## `query` (type: `string`): Free-text search term (e.g. 'lion', 'eagle'). Used in observations and taxa modes. Leave empty to browse all. ## `iconicTaxon` (type: `string`): Restrict observations to a major group of life. This is the fastest way to filter (e.g. all mammals, all birds). Leave empty for all groups. ## `taxonName` (type: `string`): Scientific or common name at ANY rank — species ('Panthera leo'), genus ('Panthera'), family, order, or class ('Mammalia'). It is resolved to a taxon id, so higher taxa work too. Leave empty for no taxon filter. ## `placeId` (type: `integer`): iNaturalist place ID to filter observations geographically (e.g. 1=USA, 6986=Kenya). Optional. ## `qualityGrade` (type: `string`): Filter by observation quality. Leave as 'All' for everything. ## `observationId` (type: `integer`): For 'observationDetail' mode — specific iNaturalist observation ID to fetch. ## `maxResults` (type: `integer`): Maximum number of records to scrape. The observations endpoint caps paging at 10000. Default 200. ## `proxyConfig` (type: `object`): Apify proxy settings. Automatic proxy is recommended; the actor also falls back to a direct connection if the proxy is unavailable. ## Actor input object example ```json { "mode": "observations", "iconicTaxon": "", "qualityGrade": "research", "maxResults": 500, "proxyConfig": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (type: `string`): All records extracted by this run. Open the Dataset tab to browse, filter, and export as CSV, JSON, or Excel. # 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 = { "qualityGrade": "research", "maxResults": 500 }; // Run the Actor and wait for it to finish const run = await client.actor("logiover/inaturalist-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 = { "qualityGrade": "research", "maxResults": 500, } # Run the Actor and wait for it to finish run = client.actor("logiover/inaturalist-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 '{ "qualityGrade": "research", "maxResults": 500 }' | apify call logiover/inaturalist-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=logiover/inaturalist-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "iNaturalist Scraper — Observations, Taxa & Species", "description": "Scrape iNaturalist by taxon name, place, or keyword. Extract species, location, photo, observer, quality grade, and taxonomy for biodiversity research, conservation, and wildlife monitoring. No API key, no login.", "version": "1.0", "x-build-id": "bQgvt7OLNBkuJ7v6K" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/logiover~inaturalist-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-logiover-inaturalist-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/logiover~inaturalist-scraper/runs": { "post": { "operationId": "runs-sync-logiover-inaturalist-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/logiover~inaturalist-scraper/run-sync": { "post": { "operationId": "run-sync-logiover-inaturalist-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "mode": { "title": "Mode", "enum": [ "observations", "taxa", "observationDetail" ], "type": "string", "description": "Scraping mode: 'observations' (search observations), 'taxa' (search species/taxa), or 'observationDetail' (single observation by ID).", "default": "observations" }, "query": { "title": "Search Query", "type": "string", "description": "Free-text search term (e.g. 'lion', 'eagle'). Used in observations and taxa modes. Leave empty to browse all." }, "iconicTaxon": { "title": "Iconic Taxon (major group)", "enum": [ "", "Mammalia", "Aves", "Reptilia", "Amphibia", "Actinopterygii", "Mollusca", "Arachnida", "Insecta", "Plantae", "Fungi", "Chromista", "Protozoa", "Animalia" ], "type": "string", "description": "Restrict observations to a major group of life. This is the fastest way to filter (e.g. all mammals, all birds). Leave empty for all groups.", "default": "" }, "taxonName": { "title": "Taxon Name (any rank)", "type": "string", "description": "Scientific or common name at ANY rank — species ('Panthera leo'), genus ('Panthera'), family, order, or class ('Mammalia'). It is resolved to a taxon id, so higher taxa work too. Leave empty for no taxon filter." }, "placeId": { "title": "Place ID", "type": "integer", "description": "iNaturalist place ID to filter observations geographically (e.g. 1=USA, 6986=Kenya). Optional." }, "qualityGrade": { "title": "Quality Grade", "enum": [ "", "research", "needs_id", "casual" ], "type": "string", "description": "Filter by observation quality. Leave as 'All' for everything.", "default": "research" }, "observationId": { "title": "Observation ID", "type": "integer", "description": "For 'observationDetail' mode — specific iNaturalist observation ID to fetch." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of records to scrape. The observations endpoint caps paging at 10000. Default 200.", "default": 200 }, "proxyConfig": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy settings. Automatic proxy is recommended; the actor also falls back to a direct connection if the proxy is unavailable.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```