# USDA Plant Hardiness Zone Lookup (by ZIP Code) (`jungle_synthesizer/phzmapi-usda-plant-hardiness-zone-scraper`) Actor Resolves US ZIP codes to USDA 2023 Plant Hardiness Zones via phzmapi.org. Run once for the full ~33K-zip lookup table or supply a custom ZIP list. Output includes zone string, numeric zone parts, temperature range, and coordinates. - **URL**: https://apify.com/jungle\_synthesizer/phzmapi-usda-plant-hardiness-zone-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Developer tools - **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 ## USDA Plant Hardiness Zone Lookup (by ZIP Code) Resolves US ZIP codes to USDA 2023 Plant Hardiness Zones via [phzmapi.org](https://phzmapi.org). Run once to build the full ~33,700-ZIP lookup table, or supply a custom ZIP list for on-demand lookups. ### What it does The [USDA Plant Hardiness Zone Map](https://planthardiness.ars.usda.gov) is the standard reference for where plants can survive winter temperatures across the US. This actor scrapes zone data for every US ZIP Code Tabulation Area (ZCTA) from the community-maintained JSON API at phzmapi.org, which wraps the official 2023 USDA raster. **Key features:** - **Full table mode** — run with no input to scrape all ~33,700 US ZCTAs in one go - **On-demand mode** — supply a custom list of ZIP codes for targeted lookups - **Parsed numeric fields** — `zone_number` (7), `zone_half` ("b"), `temp_min_f` / `temp_max_f` integers — ready for database joins and spreadsheet filters - **Source attribution** — every record carries `source: "USDA PHZM 2023 via phzmapi.org"` for data lineage ### Output fields | Field | Type | Description | |-------|------|-------------| | `zipcode` | string | 5-digit US ZIP code (zero-padded) | | `zone` | string | USDA 2023 hardiness zone, e.g. `"7b"` | | `zone_number` | integer | Numeric part of the zone, e.g. `7` | | `zone_half` | string | Half-zone suffix: `"a"` or `"b"` | | `temperature_range_f` | string | Avg annual extreme minimum temp range, e.g. `"5 to 10"` | | `temp_min_f` | integer | Lower bound in °F | | `temp_max_f` | integer | Upper bound in °F | | `latitude` | number | ZCTA centroid latitude | | `longitude` | number | ZCTA centroid longitude | | `source` | string | Data attribution string | | `coverage_note` | string | Populated only when a ZIP has no PHZM coverage | ### Sample output ```json { "zipcode": "90210", "zone": "10b", "zone_number": 10, "zone_half": "b", "temperature_range_f": "35 to 40", "temp_min_f": 35, "temp_max_f": 40, "latitude": 34.088808, "longitude": -118.40612, "source": "USDA PHZM 2023 via phzmapi.org", "coverage_note": null } ```` ### Input | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `zipcodes` | array | No | List of 5-digit US ZIP codes to look up. Leave empty to fetch the full US ZCTA universe (~33,700 records). | | `maxItems` | integer | No | Maximum records to return. Useful to cap a full-table run for testing. | **Example — lookup a handful of ZIP codes:** ```json { "zipcodes": ["90210", "10001", "60601", "98101"] } ``` **Example — full US table (no input needed):** ```json {} ``` ### Use cases - **Garden-planner apps** — resolve user's ZIP to hardiness zone at signup - **Seed & nursery e-commerce** — filter plant catalog by customer's zone - **Landscaping / agronomy SaaS** — embed the full table as a reference dataset - **AI agents** — deterministic zone lookup without a live API call at inference time - **Climate dashboards** — correlate hardiness zones with weather or crop data ### Notes - Data source: [phzmapi.org](https://phzmapi.org) (community JSON wrapper of the USDA 2023 Plant Hardiness Zone Map raster) - Zone data changes only when USDA revises the map (last revision: 2023). A full-table refresh is needed only after official USDA updates. - A small number of ZIP codes (military addresses, PO box-only ZIPs) have no PHZM coverage. These ZIPs produce 0 records. - Bundled ZIP list source: US Census Bureau 2023 ZCTA Gazetteer (33,791 ZCTAs). # 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. ## `zipcodes` (type: `array`): List of 5-digit US ZIP codes to look up. Leave empty to scrape the full US ZCTA universe (~33,700 ZIP codes). Useful for targeted lookups or testing. ## `maxItems` (type: `integer`): Maximum number of zone records to return. Useful to cap full-table runs for testing. Leave blank for no limit (returns all matched ZIP codes). ## 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...", "zipcodes": [ "90210", "10001", "60601" ], "maxItems": 15 } ``` # 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...", "zipcodes": [ "90210", "10001", "60601" ], "maxItems": 15 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/phzmapi-usda-plant-hardiness-zone-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...", "zipcodes": [ "90210", "10001", "60601", ], "maxItems": 15, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/phzmapi-usda-plant-hardiness-zone-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...", "zipcodes": [ "90210", "10001", "60601" ], "maxItems": 15 }' | apify call jungle_synthesizer/phzmapi-usda-plant-hardiness-zone-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/phzmapi-usda-plant-hardiness-zone-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USDA Plant Hardiness Zone Lookup (by ZIP Code)", "description": "Resolves US ZIP codes to USDA 2023 Plant Hardiness Zones via phzmapi.org. Run once for the full ~33K-zip lookup table or supply a custom ZIP list. Output includes zone string, numeric zone parts, temperature range, and coordinates.", "version": "0.1", "x-build-id": "xGDYvVXEciba30uct" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~phzmapi-usda-plant-hardiness-zone-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-phzmapi-usda-plant-hardiness-zone-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~phzmapi-usda-plant-hardiness-zone-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-phzmapi-usda-plant-hardiness-zone-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~phzmapi-usda-plant-hardiness-zone-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-phzmapi-usda-plant-hardiness-zone-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": { "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." }, "zipcodes": { "title": "ZIP Codes", "type": "array", "description": "List of 5-digit US ZIP codes to look up. Leave empty to scrape the full US ZCTA universe (~33,700 ZIP codes). Useful for targeted lookups or testing.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of zone records to return. Useful to cap full-table runs for testing. Leave blank for no limit (returns all matched ZIP codes)." } } }, "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 } } } } } } } } } } ```