# Proven Winners Plant Catalog Scraper (`jungle_synthesizer/provenwinners-com-nursery-plant-catalog-scraper`) Actor Scrapes the Proven Winners branded plant catalog (~2,600 varieties) — cultivar names, genus/species, plant type, height/spread, hardiness zones, light/water requirements, bloom times, flower/foliage colors, container design roles (thriller/filler/spiller), patent numbers, and care notes. - **URL**: https://apify.com/jungle\_synthesizer/provenwinners-com-nursery-plant-catalog-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 ## Proven Winners Plant Catalog Scraper Scrape the complete [Proven Winners](https://www.provenwinners.com/plants) branded plant catalog — the dominant US branded-ornamental grower program — and capture structured data for ~2,600 trademarked varieties. ### What This Actor Does Proven Winners is the largest branded ornamental plant program in the US, sold at every major garden center. This actor walks the Proven Winners sitemap, fetches each plant detail page, and extracts the full structured trait dataset for every variety in the catalog. **Output includes:** - Cultivar and common names, genus/species, botanical name - Plant type (annual / perennial / shrub / tropical), growth habit - Height and spacing ranges (in inches) - USDA hardiness zones, light and water requirements - Bloom times, flower and foliage colors - Container design roles: Thriller, Filler, or Spiller (proprietary PW classification) - Landscape uses, maintenance notes, care notes - US/Canadian plant patent numbers (USPP / PPAF) - Photo URLs, plant page URL ### Who Needs This Data - **Garden-design apps** — Proven Winners is the source of the Thriller/Filler/Spiller container design framework; no generic plant database carries this proprietary classification - **Nursery / garden center competitive intelligence** — track the branded-cultivar catalog, new introductions, and series - **Horticulture market analysts** — monitor the largest branded ornamental program for trends, patent activity, and regional availability - **Plant taxonomy enrichment** — add patent numbers and branded-variety metadata to any generic plant dataset ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `maxItems` | integer | 10 | Maximum number of plant records to scrape. Set to 0 for the full catalog (~2,600 varieties). | ### Output Schema Each record contains: | Field | Type | Description | |-------|------|-------------| | `plant_id` | string | Drupal node ID — primary key | | `common_name` | string | Common name (e.g. Panicle Hydrangea) | | `cultivar_name` | string | Trademarked variety name (e.g. Bobo, Limelight) | | `botanical_name` | string | Full botanical name (genus + species) | | `genus` | string | Genus | | `species` | string | Species epithet | | `series` | string | PW marketing series (e.g. Supertunia, Endless Summer) | | `brand` | string | Always "Proven Winners" | | `plant_type` | string | Annual / Perennial / Shrub / Tropical | | `description` | string | Marketing description and plant features | | `height_min_in` | number | Minimum mature height in inches | | `height_max_in` | number | Maximum mature height in inches | | `spacing_min_in` | number | Minimum recommended spacing in inches | | `spacing_max_in` | number | Maximum recommended spacing in inches | | `habit` | string | Growth habit — Mounded, Upright, Trailing, etc. | | `usda_hardiness_zones` | string | USDA zone range (e.g. "3a, 3b ... 9b") | | `light_requirement` | string | Pipe-delimited light needs (e.g. "Full Sun \| Part Sun") | | `water_requirement` | string | Watering needs — Average, Low, High | | `bloom_time` | string | Pipe-delimited bloom seasons (e.g. "Early Summer \| Fall") | | `flower_colors` | string | Pipe-delimited flower colors (e.g. "Pink \| White") | | `foliage_colors` | string | Pipe-delimited foliage colors | | `container_role` | string | Thriller, Filler, or Spiller | | `landscape_uses` | string | Pipe-delimited uses (e.g. "Container \| Landscape \| Edging Plant") | | `maintenance_notes` | string | Cultural care instructions | | `pruning` | string | Pruning / uses notes | | `features` | string | Pipe-delimited traits (deer resistant, drought tolerant, etc.) | | `patent_info` | string | USPP number or PPAF designation | | `image_urls` | string | Pipe-delimited photo URLs | | `plant_url` | string | Full URL to the plant detail page | ### Sample Output ```json { "plant_id": "272528", "common_name": "Panicle Hydrangea", "cultivar_name": "Bobo", "botanical_name": "Hydrangea paniculata", "genus": "Hydrangea", "species": "paniculata", "series": null, "brand": "Proven Winners", "plant_type": "Shrub", "height_min_in": 30, "height_max_in": 36, "spacing_min_in": 48, "spacing_max_in": 60, "habit": "Mounded", "usda_hardiness_zones": "3a, 3b, 4a, 4b, 5a, 5b, 6a, 6b, 7a, 7b, 8a, 8b, 9a, 9b", "light_requirement": "Part Sun to Sun | Sun", "water_requirement": "Average", "bloom_time": "Early Summer | Mid Summer | Late Summer | Fall", "flower_colors": "Pink | White", "foliage_colors": "Green", "container_role": "Thriller", "landscape_uses": "Container | Landscape", "patent_info": "USPP 22,782", "plant_url": "https://www.provenwinners.com/plants/hydrangea/bobo-panicle-hydrangea-hydrangea-paniculata" } ```` ### Notes - The full catalog (~2,600 varieties) runs to completion in roughly 2-4 hours at the default concurrency of 5, respecting the site's robots.txt crawl-delay: 10 guidance. - The `where_to_buy_count` field is always null — retailer inventory is loaded dynamically by a JavaScript web component and is not present in the static HTML. - The `fertilize` field is always null — fertilizing instructions appear only on `/culture` subpages, which robots.txt disallows. # 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 plant records to scrape. Set to 0 to scrape all (~2,600 varieties). ## 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": 10 } ``` # 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": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/provenwinners-com-nursery-plant-catalog-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": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/provenwinners-com-nursery-plant-catalog-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": 10 }' | apify call jungle_synthesizer/provenwinners-com-nursery-plant-catalog-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/provenwinners-com-nursery-plant-catalog-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Proven Winners Plant Catalog Scraper", "description": "Scrapes the Proven Winners branded plant catalog (~2,600 varieties) — cultivar names, genus/species, plant type, height/spread, hardiness zones, light/water requirements, bloom times, flower/foliage colors, container design roles (thriller/filler/spiller), patent numbers, and care notes.", "version": "0.1", "x-build-id": "uVrNdP8w5hPOMw9cZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~provenwinners-com-nursery-plant-catalog-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-provenwinners-com-nursery-plant-catalog-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~provenwinners-com-nursery-plant-catalog-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-provenwinners-com-nursery-plant-catalog-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~provenwinners-com-nursery-plant-catalog-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-provenwinners-com-nursery-plant-catalog-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 plant records to scrape. Set to 0 to scrape all (~2,600 varieties).", "default": 10 } } }, "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 } } } } } } } } } } ```