# Ssfca Details Spider (`getdataforme/ssfca-details-spider`) Actor The Ssfca Details Spider automates scraping comprehensive event data from the South San Francisco Community Activities website, extracting names, descriptions, dates, locations, and contacts.... - **URL**: https://apify.com/getdataforme/ssfca-details-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ### Description The Ssfca Details Spider automates scraping comprehensive event data from the South San Francisco Community Activities website, extracting names, descriptions, dates, locations, and contacts.... --- ## Ssfca Details Spider ### Introduction The Ssfca Details Spider is a powerful Apify Actor designed to scrape detailed event information from the South San Francisco Community Activities (SSFCADetailsSpider) website. It efficiently extracts comprehensive data about events, including names, descriptions, dates, locations, and contact details, making it an invaluable tool for event organizers, researchers, and businesses. By automating the collection of structured event data, this Actor saves time and ensures accuracy in gathering public event listings. ### Features - **Comprehensive Event Extraction**: Scrapes full details such as event names, descriptions, dates, times, locations, costs, and contact information from SSFCA event pages. - **Structured Output**: Delivers clean, JSON-formatted data with parsed dates and addresses for easy integration into databases or applications. - **High Reliability**: Handles dynamic web content and provides consistent results across multiple event URLs. - **Scalable Performance**: Processes multiple URLs in a single run, with efficient crawling to minimize resource usage. - **Error-Resilient**: Includes built-in error handling to skip problematic pages and log issues for review. - **Free and Accessible**: Available on the Apify Store with a free tier, making it accessible for personal and professional use. - **Customizable Inputs**: Accepts a list of URLs for targeted scraping, allowing users to focus on specific events. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | Urls | array | Yes | A list of URLs pointing to SSFCA event pages to scrape. Each URL must be a valid HTTP or HTTPS link. | ["https://www.ssfca.gov/Departments/Parks-Recreation/Events/April-2026-Youth-Art-Show"] | ### Example Usage #### Input Configuration ```json { "Urls": [ "https://www.ssfca.gov/Departments/Parks-Recreation/Events/April-2026-Youth-Art-Show" ] } ```` #### Output Example ```json [ { "event_name": "Youth Art Show", "description": "Next date: Friday, April 17, 2026 | 04:00 PM to 07:30 PM Celebrate the remarkable artistry of SSFUSD students, representing elementary through high school, at the annual Youth Art Show! Now in its 26th year, this program is presented in a continued partnership with the South San Francisco Unified School District. Visitors will be treated to hundreds of amazing works in a variety of visual arts media displayed throughout the three floors of the Library | Parks and Recreation Center. Performing arts presentations and a Saturday craft activity is planned for the opening weekend. This exciting free event is open to the public. PERFORMING ARTS PRESENTATIONS - Presentations run from 15 to 25 minutes Friday, April 17 • SSF High School Drama Club | Council Chambers/Theater | 5:00 p.m. • SSF Civic Ballet | Ballet Studio #222 | 6:00 p.m. Saturday, April 18 First Floor, Social Hall • All Souls Catholic School Choir | 12:30 p.m. • Marianna's Mexican Folklorico Parks and Recreation Dance Students | 1:00 p.m. Check back for any updates to this event. 1st floor - Social Hall (April 17-18 only) 3rd floor - Gallery Room 2nd & 3rd floor - Display cabinets Library | Parks and Recreation Center, 901 Civic Campus Way, South San Francisco, 94080, View Map", "main_date_line": "Next date: Friday, April 17, 2026 | 04:00 PM to 07:30 PM", "dates": [ { "raw": "Friday, April 17, 2026 | 04:00 PM - 07:30 PM", "start_date": "2026-04-17", "end_date": "2026-04-17", "start_time": "16:00", "end_time": "19:30" }, { "raw": "Saturday, April 18, 2026 | 10:00 AM - 04:00 PM", "start_date": "2026-04-18", "end_date": "2026-04-18", "start_time": "10:00", "end_time": "16:00" } ], "full_address": "Library | Parks and Recreation Center, 901 Civic Campus Way, South San Francisco, 94080, View Map", "city": "South San Francisco", "zip": "94080", "image_url": "https://www.ssfca.gov/files/assets/public/v/1/parks-and-recreation/images/recreation/cultural-arts/yas25-boy-mom-300.jpg?dimension=pageimagefullwidth&w=1140", "cost": "Free", "is_free": true, "contact_name": "SSF Parks and Recreation Department", "phone": "650-829-3800", "email": "ercie.santos@ssf.net", "event_url": "https://www.ssfca.gov/Departments/Parks-Recreation/Events/April-2026-Youth-Art-Show", "actor_id": "fTpC8OSdvCcnxOlfG", "run_id": "Kdef5ONL0cIeddIvd" } ] ``` ### Use Cases - **Event Planning and Promotion**: Gather detailed event data to create calendars, newsletters, or marketing materials for community organizations. - **Market Research**: Analyze event trends, attendance patterns, and demographics in South San Francisco for business insights. - **Competitive Intelligence**: Monitor rival events or similar activities to inform strategic planning for local businesses. - **Content Aggregation**: Build databases of public events for websites, apps, or directories focused on community activities. - **Academic Research**: Collect historical or upcoming event data for studies on cultural programs, education, or urban planning. - **Business Automation**: Automate data feeds for CRM systems or event management tools to streamline operations. ### Installation and Usage 1. Search for "Ssfca Details Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The Actor outputs data in JSON format as an array of objects, each representing a scraped event. Key fields include: - `event_name`: The title of the event. - `description`: Full event details, including schedules and activities. - `dates`: An array of parsed date objects with start/end dates and times. - `full_address`, `city`, `zip`: Location information. - `cost`, `is_free`: Pricing details. - `contact_name`, `phone`, `email`: Organizer contacts. - `event_url`: Source link. - `actor_id`, `run_id`: Metadata for tracking. This structured format ensures easy parsing and integration. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://www.ssfca.gov/Departments/Parks-Recreation/Events/April-2026-Youth-Art-Show" ] } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/ssfca-details-spider").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 = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/ssfca-details-spider").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 '{}' | apify call getdataforme/ssfca-details-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/ssfca-details-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ssfca Details Spider", "description": "The Ssfca Details Spider automates scraping comprehensive event data from the South San Francisco Community Activities website, extracting names, descriptions, dates, locations, and contacts....", "version": "0.0", "x-build-id": "ebmj8wrjvrGI3f51s" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~ssfca-details-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-ssfca-details-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~ssfca-details-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-ssfca-details-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~ssfca-details-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-ssfca-details-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://www.ssfca.gov/Departments/Parks-Recreation/Events/April-2026-Youth-Art-Show" ], "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 } } } } } } } } } } ```