# JournalismJobs.com Scraper (`lexis-solutions/journalismjobs-com-scraper`) Actor JournalismJobs.com Scraper for Apify extracts journalism and media job listings, including titles, descriptions, posting dates, locations, salaries, company details, and application links. Ideal for job aggregation, recruitment analytics, and market research. - **URL**: https://apify.com/lexis-solutions/journalismjobs-com-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** Jobs, Automation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.90 / 1,000 jobs This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ![JournalismJobs.com Scraper](https://i.postimg.cc/85k8L3Ww/image.png) ### What does JournalismJobs.com Scraper do? JournalismJobs.com Scraper will help you search and extract comprehensive job posting data from **journalismjobs.com**, a career platform dedicated to journalism, communications, and media professionals. You can extract job details such as titles, descriptions, posting dates, locations, application links, salary information, company details, industry specialties, required education, job status, and more. JournalismJobs.com Scraper supports a REST API which gives you access to the extracted dataset, enables you to download it in various formats, and use it in other applications. It allows you to search and extract journalism and media job listings from JournalismJobs.com, a comprehensive career platform for media professionals. JournalismJobs.com pages expose detailed job postings including location, company, and application information that can power job boards, recruitment tools, and career intelligence products. The scraper supports the REST API which gives you access to the extracted dataset, enables you to download it in various formats, and use it in other applications. ### What data can I extract from JournalismJobs.com with a web scraper? With this web scraping tool, you can extract the following data from JournalismJobs.com:
๐Ÿ“ฐ Job titles ๐Ÿ“ Full descriptions
๐Ÿ“… Posting dates ๐Ÿ“ Job locations
๐Ÿ”— Application links ๐Ÿ’ฐ Salary ranges
๐Ÿข Company names ๐Ÿ–ผ๏ธ Company logos
๐Ÿ”— Company listings ๐Ÿ“Š Industry types
๐ŸŽฏ Job specialties ๐ŸŽ“ Education requirements
โฐ Job status (Full/Part-time) ๐ŸŒ Job URLs
๐Ÿ” Search URLs ๐Ÿ“‹ Job details table
### Why scrape JournalismJobs.com? JournalismJobs.com is a comprehensive career platform providing job listings for journalism, communications, and media professionals across various specialties including broadcast, digital media, print, public relations, and more. The site aggregates job postings from employers worldwide, offering detailed information on positions, requirements, and company profiles. Scrape targets include job titles, descriptions, locations, salary ranges, application links, and company information. - Monitor journalism and media job market trends - Track salary ranges and compensation patterns - Analyze job requirements and skill demands - Aggregate job listings for career portals - Build recruitment intelligence dashboards - Power job alert and notification systems - Create comparative job market analysis tools - Support talent acquisition and career planning ### How to use JournalismJobs.com Scraper? JournalismJobs.com Scraper is designed for easy and fast start even if you've never extracted data from websites before. Here's how you can extract data from JournalismJobs.com with this web scraping tool: 1. Create a free Apify account using your email. 2. Open JournalismJobs.com Scraper on the Apify platform. 3. Click on the **Try for free** button. 4. Enter the start URLs for job search results or individual job detail pages. 5. Click on the **Start** button and wait for the data to be extracted. 6. Download your data in JSON, XML, CSV, Excel, or HTML. ### Input The actor accepts the following input parameters: - startUrls (array of objects) - **Required**. URLs to start with. You can provide job search result URLs or individual job detail page URLs. - maxItems (integer) - The maximum number of jobs to scrape per start URL. Default: 5 - proxyConfiguration (object) - Proxy configuration settings. #### Supported URL Types (examples) You can use job search results and individual job detail pages: **Search URL example:** - https://www.journalismjobs.com/job-listings?keywords=software+&location=0 **Job Detail Pages:** - https://www.journalismjobs.com/1693010-membership-coordinatorwuft-tvfm-and-wjuf-fm-university-of-florida - https://www.journalismjobs.com/1692693-managing-editor-arizona-state-affairs Example: ```json { "startUrls": [ { "url": "https://www.journalismjobs.com/job-listings?keywords=software+&location=0" }, { "url": "https://www.journalismjobs.com/1693010-membership-coordinatorwuft-tvfm-and-wjuf-fm-university-of-florida" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } } ```` #### Note: The startUrls field is required ### Output The scraped data will be saved as a dataset. Each item will represent a job posting. You can choose in what format to download your data: JSON, JSONL, HTML table, CSV, Excel spreadsheet, or NDJSON. Example output structure: ```json { "url": "https://www.journalismjobs.com/1692693-managing-editor-arizona-state-affairs", "searchUrl": "https://www.journalismjobs.com/job-listings?keywords=&location=&jobType=&date=&industries=5&position=&diversity=&focuses=&salary=&company=&title=&virtual=&page=1&count=30", "title": "Managing Editor Arizona", "description": "State Affairs is the nation's leading news and policy intelligence platform focused on state governments. We combine nonpartisan coverage of Statehouses across the country alongside state government data and AI-native tools into a singular platform...", "datePosted": "2026-04-27", "address": { "addressLocality": "Phoenix", "addressRegion": "Arizona", "addressCountry": "US" }, "jobApplicationLink": "https://job-boards.greenhouse.io/stateaffairs/jobs/4156099009", "jobDetails": [ { "attributeName": "Industry", "attributeValue": "Digital Media" }, { "attributeName": "Specialty", "attributeValue": "Politics" }, { "attributeName": "Required Education", "attributeValue": "Bachelor's Degree" }, { "attributeName": "Job Status", "attributeValue": "Full-time" }, { "attributeName": "Salary", "attributeValue": "$85,000 to $125,000" } ], "companyInfo": { "companyName": "State Affairs", "companyImage": "https://www.journalismjobs.com/media/company/69a73f0b8a4af.png", "otherListingsLink": "https://www.journalismjobs.com/job-listings?company=State%20Affairs" } } ``` #### Notes and Limitations - The actor relies on the structure of the JournalismJobs.com website. If the website structure changes, the actor may need to be updated. - For large-scale scraping, use Apify's proxy services to avoid IP blocking. - When using a proxy, requests can originate from different locations, so the number of results may differ compared to non-proxy runs. #### ๐Ÿ” Looking to Scrape more Job & Career Websites? In addition to this actor, you can explore our suite of dedicated scrapers tailored for other popular job boards and career platforms. Each scraper is optimized for its target site to ensure accurate, efficient, and high-performance data extraction. | Scraper | Country | Description | | ---------------------------------------------------------------------------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | [vdab.be Scraperr](https://apify.com/lexis-solutions/vdab-be-scraper) | Belgium | Scrape job listings from VDAB.beโ€”including titles, companies, locations, salaries, and requirements. Ideal for job board aggregation, market analysis, and trend tracking. Fast, structured, and customizable extraction from Flandersโ€™ public employment service. | | [Jobindex.dk Scraper](https://apify.com/lexis-solutions/jobindex-dk-scraper) | Denmark | Extract job listings, company details, and application links from Jobindex.dkโ€”Denmark's top job portal. Ideal for recruitment, market research, and competitor tracking with structured, Denmark-focused job data in minutes. | | [Jobs.ams.at Scraper](https://apify.com/lexis-solutions/jobs-ams-at-scraper) | Austria | Scrape job listings from AMS Austriaโ€™s public employment serviceโ€”titles, company details, locations, employment relationship, working time, education levels, and more. Supports API-backed pagination, query or startUrls input, location normalization, radius, and maxItems. | Explore these solutions to expand your data collection capabilities across job boards and career intelligence websites. *** ๐Ÿ‘€ p.s. Got feedback or need an extension? Lexis Solutions is a [certified Apify Partner](https://apify.com/partners). We can help you with custom solutions or data extraction projects. Contact us over [Email](mailto:info@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions) ### Image Credit Image credit: [journalismjobs.com](https://www.journalismjobs.com/) # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## `maxItems` (type: `integer`): Maximum number of jobs that will be scraped. ## `proxyConfiguration` (type: `object`): Select proxies to be used by your crawler. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.journalismjobs.com/job-listings?keywords=&location=&jobType=&date=&industries=5&position=&diversity=&focuses=&salary=&company=&title=&virtual=&page=1&count=30" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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://www.journalismjobs.com/job-listings?keywords=&location=&jobType=&date=&industries=5&position=&diversity=&focuses=&salary=&company=&title=&virtual=&page=1&count=30" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/journalismjobs-com-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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://www.journalismjobs.com/job-listings?keywords=&location=&jobType=&date=&industries=5&position=&diversity=&focuses=&salary=&company=&title=&virtual=&page=1&count=30" }], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/journalismjobs-com-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.journalismjobs.com/job-listings?keywords=&location=&jobType=&date=&industries=5&position=&diversity=&focuses=&salary=&company=&title=&virtual=&page=1&count=30" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } }' | apify call lexis-solutions/journalismjobs-com-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/journalismjobs-com-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "JournalismJobs.com Scraper", "description": "JournalismJobs.com Scraper for Apify extracts journalism and media job listings, including titles, descriptions, posting dates, locations, salaries, company details, and application links. Ideal for job aggregation, recruitment analytics, and market research.", "version": "1.0", "x-build-id": "ICGRxqLYAz1crzYaz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~journalismjobs-com-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-journalismjobs-com-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~journalismjobs-com-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-journalismjobs-com-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~journalismjobs-com-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-journalismjobs-com-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "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" } } } }, "maxItems": { "title": "Maximum number of jobs", "type": "integer", "description": "Maximum number of jobs that will be scraped.", "default": 5 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler." } } }, "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 } } } } } } } } } } ```