# Performancefoodservice Jobs Profile Scraper (`getdataforme/performancefoodservice-jobs-profile-scraper`) Actor The Performancefoodservice Jobs Profile Scraper extracts detailed job listings from the Performance Foodservice careers site for market research and competitive analysis.... - **URL**: https://apify.com/getdataforme/performancefoodservice-jobs-profile-scraper.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 ## Performancefoodservice Jobs Profile Scraper ### Introduction The Performancefoodservice Jobs Profile Scraper is a powerful tool designed to extract detailed job listings from the Performance Foodservice careers website. This actor provides comprehensive job data, enabling users to conduct market research, competitive analysis, and more with ease and precision. ### Features - **Comprehensive Data Extraction**: Captures detailed job information including title, location, job type, and more. - **High Data Quality**: Ensures accurate and up-to-date information by scraping directly from the source. - **Efficient Performance**: Optimized for fast data retrieval, handling multiple URLs simultaneously. - **User-Friendly Interface**: Simple setup and configuration through the Apify platform. - **Flexible Output Formats**: Export data in JSON, CSV, or Excel formats for easy integration. - **Customizable Scraping**: Tailor the scraping process to specific URLs or job categories. - **Reliable and Robust**: Built to handle changes in website structure with minimal downtime. ### Input Parameters | Parameter | Type | Required | Description | Example | |------------|--------|----------|-----------------------------|-------------------------------------------------------------------------| | startUrls | array | Yes | URLs to start with. | `["https://jobs.performancefoodservice.com/job/outside-sales-representative/dothan-al/141773BR/"]` | ### Example Usage #### Input JSON ```json { "startUrls": [ { "url": "https://jobs.performancefoodservice.com/job/outside-sales-representative/dothan-al/141773BR/" } ] } ```` #### Output JSON ```json [ { "jobId": "141773BR", "title": "Outside Sales Representative", "url": "https://jobs.performancefoodservice.com/job/outside-sales-representative/dothan-al/141773BR/", "category": "Sales", "jobType": "Full Time", "location": "Dothan, AL", "locationName": "Performance Alabama (0503)", "datePosted": "April 06, 2026", "applyUrl": "https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=26350&siteid=6930#jobDetails=1400589_6930&", "description": "Company Description:Performance Foodservice, PFG's broadline distributor...", "city": "Dothan", "state": "AL", "country": "United States", "education": "High School Diploma/GED or Equivalent", "experience": "2+ years of related outside sales experience", "company": "Performance Foods", "scrapedAt": "2026-04-13T07:00:19.690Z" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data on job trends and employment opportunities. - **Competitive Intelligence**: Monitor job postings from competitors. - **Price Monitoring**: Analyze salary trends and compensation packages. - **Content Aggregation**: Compile job listings for job boards or recruitment platforms. - **Academic Research**: Study employment patterns and labor market dynamics. - **Business Automation**: Automate the collection of job data for HR analytics. ### Installation and Usage ``` 1. Search for "Performancefoodservice Jobs Profile Scraper" 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 a JSON array where each object represents a job listing with fields such as `jobId`, `title`, `url`, `category`, `jobType`, `location`, `datePosted`, `applyUrl`, `description`, `city`, `state`, `country`, `education`, `experience`, `company`, and `scrapedAt`. ### 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 ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://jobs.performancefoodservice.com/job/outside-sales-representative/dothan-al/141773BR/" } ] } ``` # 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 = { "startUrls": [ { "url": "https://jobs.performancefoodservice.com/job/outside-sales-representative/dothan-al/141773BR/" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/performancefoodservice-jobs-profile-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 = { "startUrls": [{ "url": "https://jobs.performancefoodservice.com/job/outside-sales-representative/dothan-al/141773BR/" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/performancefoodservice-jobs-profile-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 '{ "startUrls": [ { "url": "https://jobs.performancefoodservice.com/job/outside-sales-representative/dothan-al/141773BR/" } ] }' | apify call getdataforme/performancefoodservice-jobs-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/performancefoodservice-jobs-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Performancefoodservice Jobs Profile Scraper", "description": "The Performancefoodservice Jobs Profile Scraper extracts detailed job listings from the Performance Foodservice careers site for market research and competitive analysis....", "version": "0.0", "x-build-id": "TXdC07A2L5NxeaSN7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~performancefoodservice-jobs-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-performancefoodservice-jobs-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~performancefoodservice-jobs-profile-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-performancefoodservice-jobs-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~performancefoodservice-jobs-profile-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-performancefoodservice-jobs-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```