# Adopt-a-Pet Scraper (`lulzasaur/adoptapet-scraper`) Actor Scrape pet adoption listings from Adopt-a-Pet.com. Search dogs, cats, rabbits, birds and more by location and breed. Returns breed, age, gender, shelter info, photos. - **URL**: https://apify.com/lulzasaur/adoptapet-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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. 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 ## Adopt-a-Pet Scraper Scrape pet adoption listings from [Adopt-a-Pet.com](https://www.adoptapet.com), the largest non-profit pet adoption website in North America with 15,000+ shelters. Search for dogs, cats, rabbits, birds, and horses by location and breed. ### Features - **Multi-species**: Search dogs, cats, rabbits, birds, and horses - **Location-based**: Search by ZIP code or city/state - **Breed filtering**: Narrow results to a specific breed - **Detailed profiles**: Extracts breed, age, gender, size, color, shelter info, photos - **Smart discovery**: Combines JSON-LD structured data, HTML link extraction, and shelter page crawling - **Proxy support**: Optional Apify proxy for large-scale scraping ### Output Fields | Field | Description | |-------|-------------| | `petId` | Unique pet ID from Adopt-a-Pet | | `name` | Pet's name | | `breed` | Breed or breed mix | | `age` | Age category (Baby, Young, Adult, Senior) | | `gender` | Male or Female | | `size` | Size category with weight range | | `color` | Color/pattern description | | `description` | Pet's story or bio | | `shelterName` | Name of shelter or rescue organization | | `shelterLocation` | City, State of the shelter | | `adoptionUrl` | Direct link to the pet's adoption page | | `photoUrl` | Primary photo URL | | `scrapedAt` | ISO timestamp of when the data was scraped | ### Input Options - **Location** (required): ZIP code or city/state (e.g. "90210", "New York, NY") - **Pet Type**: dogs, cats, rabbits, birds, or horses (default: dogs) - **Breed**: Optional breed filter (e.g. "poodle", "labrador", "siamese") - **Max Results**: Maximum number of listings to return (default: 100, max: 5000) - **Proxy Configuration**: Optional Apify proxy settings ### How It Works 1. Searches Adopt-a-Pet by location and pet type 2. Parses JSON-LD `ItemList` schema for pet profile URLs 3. Falls back to HTML link extraction when structured data is unavailable 4. Crawls nearby shelter pages to discover additional listings 5. Visits each pet profile page and extracts detailed info via cheerio ### Example Output ```json { "petId": "47219783", "name": "Rocco", "breed": "American Pit Bull Terrier", "age": "Adult", "gender": "Male", "size": "Large 61-100 lbs (28-45 kg)", "color": "Tan/Yellow/Fawn - with White", "description": "Rocco is an adventurous, affectionate companion looking for his forever home.", "shelterName": "Rehome by Adopt a Pet", "shelterLocation": "Union City, California", "adoptionUrl": "https://www.adoptapet.com/pet/47219783-union-city-california-american-pit-bull-terrier-mix", "photoUrl": "https://media.adoptapet.com/image/upload/...", "scrapedAt": "2026-04-25T12:00:00.000Z" } ```` ### Use Cases - **Shelter analytics**: Track adoption inventory across regions - **Breed availability research**: Monitor availability of specific breeds by area - **Adoption aggregators**: Build dashboards combining data from multiple adoption sites - **Market research**: Understand pet adoption trends by type, breed, and location - **Alert systems**: Monitor for newly listed pets matching specific criteria ### Tips - ZIP codes work best for precise location targeting - Each search page returns up to 20 pets; the scraper automatically discovers more via shelter pages - For large datasets, use proxy configuration to avoid rate limiting - Breed names should match Adopt-a-Pet's naming (e.g. "labrador-retriever" not just "lab") *** ### Run on Apify This scraper runs on the [Apify platform](https://apify.com/?fpr=lulzasaur) — a full-stack web scraping and automation cloud. Sign up for a free account to get started with 30-day trial of all features. [Try Apify free ->](https://apify.com/?fpr=lulzasaur) # Actor input Schema ## `location` (type: `string`): ZIP code or city/state to search near (e.g. '90210' or 'New York, NY'). ## `petType` (type: `string`): Type of pet to search for. ## `breed` (type: `string`): Optional breed filter (e.g. 'poodle', 'labrador', 'siamese'). Leave empty for all breeds. ## `maxResults` (type: `integer`): Maximum number of pet listings to return. ## `proxyConfiguration` (type: `object`): Optional proxy to use for requests. ## Actor input object example ```json { "location": "90210", "petType": "dogs", "breed": "", "maxResults": 100 } ``` # 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 = { "location": "90210" }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/adoptapet-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 = { "location": "90210" } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/adoptapet-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 '{ "location": "90210" }' | apify call lulzasaur/adoptapet-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/adoptapet-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Adopt-a-Pet Scraper", "description": "Scrape pet adoption listings from Adopt-a-Pet.com. Search dogs, cats, rabbits, birds and more by location and breed. Returns breed, age, gender, shelter info, photos.", "version": "1.0", "x-build-id": "d6RmVYt5sy1qphTSz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~adoptapet-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-adoptapet-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~adoptapet-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-adoptapet-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~adoptapet-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-adoptapet-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "location" ], "properties": { "location": { "title": "Location", "type": "string", "description": "ZIP code or city/state to search near (e.g. '90210' or 'New York, NY')." }, "petType": { "title": "Pet Type", "enum": [ "dogs", "cats", "rabbits", "birds", "horses" ], "type": "string", "description": "Type of pet to search for.", "default": "dogs" }, "breed": { "title": "Breed", "type": "string", "description": "Optional breed filter (e.g. 'poodle', 'labrador', 'siamese'). Leave empty for all breeds.", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of pet listings to return.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy to use for requests." } } }, "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 } } } } } } } } } } ```