# Parityhomes Jobs Parser Spider (`getdataforme/parityhomes-jobs-parser-spider`) Actor Effortlessly scrape and extract job listings from Parityhomes with this Apify Actor. Automates collection of titles, locations, salaries, and types into structured JSON for recruitment, analysis, and market insights. Fast, scalable, reliable, and no coding needed. - **URL**: https://apify.com/getdataforme/parityhomes-jobs-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, Lead generation, Jobs - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 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 Effortlessly scrape and extract job listings from Parityhomes with this Apify Actor. Automates collection of titles, locations, salaries, and types into structured JSON for recruitment, analysis, and market insights. Fast, scalable, reliable, and no coding needed. --- ## Parityhomes Jobs Parser Spider The Parityhomes Jobs Parser Spider is a powerful Apify Actor designed to scrape and extract job listings from the Parityhomes website. It automates the collection of detailed job data, including titles, locations, salaries, and types, enabling efficient data gathering for recruitment and analysis purposes. This tool saves time and ensures accurate, structured data output for users seeking insights into job opportunities. ### Features - **Comprehensive Job Data Extraction**: Scrapes key details like job ID, title, location, type, and salary from Parityhomes listings. - **Flexible URL Input**: Supports multiple URLs for targeted scraping of specific job pages or sections. - **Structured JSON Output**: Delivers clean, machine-readable data for easy integration with databases or analytics tools. - **High Reliability**: Built with robust error handling to manage website changes and ensure consistent results. - **Fast and Scalable**: Optimized for performance, handling multiple jobs quickly without overloading sources. - **No Coding Required**: User-friendly interface for non-technical users to configure and run extractions. - **Apify Integration**: Seamlessly works within the Apify platform for scheduling, monitoring, and exporting data. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-----------------------------------------------------------------------------|---------| | Url | array | No | An array of URLs to scrape job listings from. Must be valid HTTP/HTTPS URLs. | ["https://parityhomes.discovered.ai/"] | ### Example Usage To run the Parityhomes Jobs Parser Spider, provide the input configuration in JSON format: ```json { "Url": [ "https://parityhomes.discovered.ai/" ] } ```` The Actor will process the URLs and output structured job data, such as: ```json [ { "url": "https://parityhomes.discovered.ai/job-details/37958", "job_id": "37958", "title": "Director of Construction", "location": "Baltimore, MD, United States", "job_type": "Full Time", "salary": "$100,000.00 - $150,000.00", "actor_id": "5GqkPXFyqo7x5OgWL", "run_id": "bScj8bGKA4zfD7HIe" }, { "url": "https://parityhomes.discovered.ai/job-details/42282", "job_id": "42282", "title": "Virtual Construction Bookkeeper", "location": "Cebu, Central Visayas, Philippines", "job_type": "Full Time", "salary": "$7.00 - $10.00", "actor_id": "5GqkPXFyqo7x5OgWL", "run_id": "bScj8bGKA4zfD7HIe" }, { "url": "https://parityhomes.discovered.ai/job-details/45646", "job_id": "45646", "title": "Groundskeeper", "location": "Baltimore, MD, United States", "job_type": "Full Time", "salary": "$15.00 - $20.00", "actor_id": "5GqkPXFyqo7x5OgWL", "run_id": "bScj8bGKA4zfD7HIe" } ] ``` ### Use Cases - **Market Research and Analysis**: Analyze job market trends, salaries, and locations for industry insights. - **Competitive Intelligence**: Monitor competitors' job postings to understand hiring strategies. - **Price Monitoring**: Track salary ranges for specific roles to benchmark compensation. - **Content Aggregation**: Collect and aggregate job data for job boards or recruitment platforms. - **Academic Research**: Gather data for studies on employment patterns in construction and related fields. - **Business Automation**: Automate data feeds for HR systems or recruitment dashboards. ### Installation and Usage 1. Search for "Parityhomes Jobs Parser 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 output is an array of JSON objects, each representing a job listing. Key fields include: - `url`: The full URL of the job detail page. - `job_id`: Unique identifier for the job. - `title`: Job title. - `location`: Geographic location of the job. - `job_type`: Employment type (e.g., Full Time). - `salary`: Salary range. - `actor_id` and `run_id`: Metadata from the Apify run. 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 ## `Url` (type: `array`): The url for the spider. ## Actor input object example ```json { "Url": [ "https://parityhomes.discovered.ai/" ] } ``` # 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/parityhomes-jobs-parser-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/parityhomes-jobs-parser-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/parityhomes-jobs-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/parityhomes-jobs-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Parityhomes Jobs Parser Spider", "description": "Effortlessly scrape and extract job listings from Parityhomes with this Apify Actor. Automates collection of titles, locations, salaries, and types into structured JSON for recruitment, analysis, and market insights. Fast, scalable, reliable, and no coding needed.", "version": "0.0", "x-build-id": "oQLKtPvUmrvd7wsxq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~parityhomes-jobs-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-parityhomes-jobs-parser-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~parityhomes-jobs-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-parityhomes-jobs-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~parityhomes-jobs-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-parityhomes-jobs-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Url": { "title": "Url", "minItems": 1, "type": "array", "description": "The url for the spider.", "default": [ "https://parityhomes.discovered.ai/" ], "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 } } } } } } } } } } ```