# $1/1K πŸ”₯ Hiring.cafe Scraper PRO (By Search URL) (`azzouzana/hiring-cafe-scraper-pro-by-search-url`) Actor \#1 πŸ”₯ Super simple! Paste your hiring.cafe search URL get thousands of jobs in seconds! ⚑ Comprehensive: title, company, location, salary, description, apply link, requirements & much more! 120+ datapoints per job! Export to JSON, CSV, Excel or API. Grab your search URLs and you're good to go πŸš€ - **URL**: https://apify.com/azzouzana/hiring-cafe-scraper-pro-by-search-url.md - **Developed by:** [Azzouzana](https://apify.com/azzouzana) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 6 total users, 5 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $0.001 / result 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 ### ⚑ Features Input a search URL to automate exports to Excel, Google Sheets, or custom AI/LLM workflows. The system handles automated pagination and duplicate filtering for up to **10,000 jobs** per execution. * **High-Speed Extraction**: Processes hundreds of records in seconds with optimized execution. * **Granular Data Schema**: Captures over 120 data points per job, including compensation hints, company context, and workplace type. * **Rich Metadata**: Provides comprehensive field coverage for complex reporting and spreadsheet-based analysis. * **Operational Integrity**: Engineered for stability and reliability by specialists in advanced web scraping and reverse engineering. ### πŸ› οΈ How to use this actor 1. [Register for a free Apify account](https://apify.com/sign-up?fpr=cbgdsf) β€” no credit card required. 2. Open the actor, fill in **Input**, start a run. 3. Free tier is enough to sanity-check field coverage. **startUrl:** On Hiring.cafe, apply your filters, then copy the entire address bar URL from the hiring.cafe site. - Example: `https://hiring.cafe/?searchState=%7B%22licensesAndCertifications%22%3A%5B%22registered+nurse+%28rn%29%22%5D%7D` **maxItems** caps how many jobs to collect. ### πŸ€– Using AI? Copy to your AI assistant Copy this block into ChatGPT, Claude, Gemini, or any LLM to start using this actor: ```` azzouzana/hiring-cafe-scraper-pro-by-search-url on Apify. Call: ApifyClient("TOKEN").actor("azzouzana/hiring-cafe-scraper-pro-by-search-url").call(run\_input={...}), then client.dataset(run\["defaultDatasetId"]).list\_items().items for results. Key inputs: startUrl (string, required) β€” full hiring.cafe search page URL from the browser; maxItems (integer, optional) β€” max unique jobs to extract, typically 5–10000, default 50. Full actor spec (input schema, dataset fields, README): GET https://api.apify.com/v2/acts/azzouzana~hiring-cafe-scraper-pro-by-search-url/builds/default with Bearer TOKEN β†’ inputSchema, actorDefinition.storages.dataset, readme. Pricing: $0.001/result (confirm on actor page). Token: https://console.apify.com/account/integrations ```` ### πŸ’° Cost of usage **$1 per 1,000 jobs** scraped, no hidden fees. | Jobs scraped | Cost | | :-------: | :---: | | 250 | ~$0.25 | | 1,000 | ~$1.00 | ### πŸ†“ Free tier limitations We want you to see how this actor works before you commit. To keep things fair for everyone, the **free tier** usually includes these trial limits: - **Sample data:** up to **5 listings** per runβ€”enough to check data quality. - **Daily cap:** **5 runs** per calendar day (UTC). - **Between runs:** at least **30 minutes** before you can start another run. Paid plans remove those caps. [Subscribe to enjoy unliomited scraping!](https://apify.com/pricing?fpr=cbgdsf)! ### πŸ“₯ Input | Field | Type | Description | Example | | ----- | ---- | ----------- | ------- | | `startUrl` | Text | Full search URL from the browser | `https://hiring.cafe/?searchState=…` | | `maxItems` | Number | Max jobs to extract (up to **10,000** on a single run) | `50` | ### πŸ“¦ Output One dataset row per job. Example (field set varies by listing): ```json { "id": "workable___visium_sa___101d0825-fcae-4f18-8d5e-682671f71e6f", "board_token": "visium_sa", "source": "workable", "apply_url": "https://jobs.workable.com/view/2ZpwuJNZFNGys2BMY711yg/ai-software-engineer-in-barcelona-at-visium-sa", "source_and_board_token": "workable_visium_sa", "job_information_title": "AI Software Engineer", "job_information_job_title_raw": "AI Software Engineer", "job_information_description": "Title: AI Software EngineerType: Full-timeLocation: BarcelonaStart date: June 2026About usAt Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof.With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data.We’re on a mission to pioneer a bright future and build future-proof and ethical organizations . Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we’re all in awe of – our Visiumees.Ready to become one?RoleAs an AI Software Engineer at Visium, you will be the driving force behind designing, developing, and productionalising AI solutions that deliver real business value to our clients. You are the engineering authority on the team - setting the bar for code quality, architectural decisions, and modern AI patterns while actively growing the people around you.As an AI Software Engineer you will:Lead complex, end-to-end AI software engineering projects from scoping through production deployment.Collaborate closely with senior client stakeholders to translate business objectives into sound technical trade-offs.Mentor colleagues through code reviews, pair programming, and hands-on guidance.Champion and actively drive the adoption of best practices in software engineering across all practice areas.Contribute to internal knowledge sharing through tech talks, documentation, and community-of-practice sessions.Support internal R&D initiatives and contribute to Visiumee's capability development.", "v5_processed_job_data_core_job_title": "AI Software Engineer", "v5_processed_job_data_requirements_summary": "5+ years software engineering; Python core; AI/ML productiona lization; cloud infra; strong communication.", "v5_processed_job_data_technical_tools": [ "Python", "AI/ML frameworks", "AWS", "Azure", "GCP" ], "v5_processed_job_data_licenses_or_certifications": [], "v5_processed_job_data_associates_degree_requirement": "Not Mentioned", "v5_processed_job_data_associates_degree_fields_of_study": [], "v5_processed_job_data_bachelors_degree_requirement": "Not Mentioned", "v5_processed_job_data_bachelors_degree_fields_of_study": [], "v5_processed_job_data_masters_degree_requirement": "Not Mentioned", "v5_processed_job_data_masters_degree_fields_of_study": [], "v5_processed_job_data_doctorate_degree_requirement": "Not Mentioned", "v5_processed_job_data_doctorate_degree_fields_of_study": [], "v5_processed_job_data_licenses_or_certifications_not_mentioned": true, "v5_processed_job_data_min_industry_and_role_yoe": 5, "v5_processed_job_data_401k_matching": false, "v5_processed_job_data_is_min_industry_and_role_yoe_not_mentioned": false, "v5_processed_job_data_min_management_and_leadership_yoe": null, "v5_processed_job_data_is_min_management_and_leadership_yoe_not_mentioned": true, "v5_processed_job_data_job_category": "Software Development", "v5_processed_job_data_role_activities": [ "Lead projects", "Collaborate with stakeholders", "Mentor teammates" ], "v5_processed_job_data_commitment": [ "Full Time" ], "v5_processed_job_data_role_type": "Individual Contributor", "v5_processed_job_data_seniority_level": "Senior Level", "v5_processed_job_data_workplace_countries": [ "ES" ], "v5_processed_job_data_boundless_workplace_states": [], "v5_processed_job_data_boundless_workplace_countries": [], "v5_processed_job_data_boundless_workplace_continents": [], "v5_processed_job_data_workplace_continents": [ "Europe" ], "v5_processed_job_data_workplace_states": [ "Catalonia, ES" ], "v5_processed_job_data_workplace_cities": [ "Barcelona, Catalonia, ES" ], "v5_processed_job_data_workplace_counties": [ "/ County, Catalonia, ES" ], "v5_processed_job_data_workplace_type": "Onsite", "v5_processed_job_data_workplace_physical_environment": "Office", "v5_processed_job_data_oral_communication_level": "High", "v5_processed_job_data_physical_labor_intensity": "Low", "v5_processed_job_data_physical_position": "Sitting", "v5_processed_job_data_computer_usage": "High", "v5_processed_job_data_cognitive_demand": "High", "v5_processed_job_data_air_travel_requirement": "None", "v5_processed_job_data_land_travel_requirement": "None", "v5_processed_job_data_morning_shift_work": "Not Indicated", "v5_processed_job_data_evening_shift_work": "Not Indicated", "v5_processed_job_data_overnight_work": "Not Indicated", "v5_processed_job_data_formatted_workplace_location": "Barcelona, Catalonia, Spain", "v5_processed_job_data_on_call_requirement": "None", "v5_processed_job_data_weekend_availability_required": false, "v5_processed_job_data_holiday_availability_required": false, "v5_processed_job_data_generous_paid_time_off": false, "v5_processed_job_data_four_day_work_week": false, "v5_processed_job_data_overtime_required": false, "v5_processed_job_data_is_workplace_worldwide_ok": false, "v5_processed_job_data_language_requirements": [ "English" ], "v5_processed_job_data_num_language_requirements": 1, "v5_processed_job_data_number_of_workplace_cities": 1, "v5_processed_job_data_number_of_workplace_counties": 1, "v5_processed_job_data_number_of_workplace_states": 1, "v5_processed_job_data_number_of_workplace_countries": 1, "v5_processed_job_data_number_of_workplace_continents": 1, "v5_processed_job_data_yearly_max_compensation": null, "v5_processed_job_data_yearly_min_compensation": null, "v5_processed_job_data_monthly_max_compensation": null, "v5_processed_job_data_monthly_min_compensation": null, "v5_processed_job_data_weekly_max_compensation": null, "v5_processed_job_data_weekly_min_compensation": null, "v5_processed_job_data_hourly_max_compensation": null, "v5_processed_job_data_hourly_min_compensation": null, "v5_processed_job_data_bi-weekly_min_compensation": null, "v5_processed_job_data_bi-weekly_max_compensation": null, "v5_processed_job_data_daily_min_compensation": null, "v5_processed_job_data_daily_max_compensation": null, "v5_processed_job_data_estimated_publish_date": "2026-04-30T07:39:32.095Z", "v5_processed_job_data_estimated_publish_date_millis": 1777534772095, "v5_processed_job_data_fair_chance": false, "v5_processed_job_data_visa_sponsorship": false, "v5_processed_job_data_relocation_assistance": false, "v5_processed_job_data_military_veterans": false, "v5_processed_job_data_tuition_reimbursement": false, "v5_processed_job_data_retirement_plan": false, "v5_processed_job_data_generous_parental_leave": false, "v5_processed_job_data_is_high_school_required": false, "v5_processed_job_data_is_driver_license_required": false, "v5_processed_job_data_is_compensation_transparent": false, "v5_processed_job_data_listed_compensation_currency": "", "v5_processed_job_data_listed_compensation_frequency": "Yearly", "v5_processed_job_data_security_clearance": "None", "v5_processed_job_data_position_employer_type": "External Position", "v5_processed_job_data_company_name": "Visium SA", "v5_processed_job_data_company_website": "visium.ch", "v5_processed_job_data_company_sector_and_industry": "Information Technology", "v5_processed_job_data_company_activities": [ "AI consulting", "Data transformation" ], "v5_processed_job_data_company_tagline": "A fast-growing AI and data transformation consultancy.", "enriched_company_data_enriched_at": "2026-03-11T19:53:07.761Z", "enriched_company_data_status": "VALID_COMPANY", "enriched_company_data_name": "Visium", "enriched_company_data_homepage_uri": "visium.ch", "enriched_company_data_hq_country": "CH", "enriched_company_data_parent_company": null, "enriched_company_data_subsidiaries": [ "Visium Labs" ], "enriched_company_data_industries": [ "Artificial Intelligence", "IT Services" ], "enriched_company_data_activities": [ "Artificial Intelligence Consulting", "Data Engineering", "Machine Learning Development", "Cloud Computing Services", "Software Development" ], "enriched_company_data_nb_employees": 80, "enriched_company_data_year_founded": 2018, "enriched_company_data_tagline": "Swiss specialized consultancy providing production-grade artificial intelligence solutions.", "enriched_company_data_organization_type": "Private", "enriched_company_data_latest_funding_investors": null, "enriched_company_data_latest_funding_type": null, "enriched_company_data_latest_funding_year": null, "enriched_company_data_latest_funding_amount": null, "enriched_company_data_stock_exchange": null, "enriched_company_data_stock_symbol": null, "_geoloc": [ { "lat": 41.3879, "lon": 2.16992 } ], "requisition_id": "s9jsvp921heg35z7", "collapse_key": "e961b334fa5fefc5c0599ced6a874194baf08ae189ff01d6ece3e8798bb411e8", "is_expired": false, "objectID": "workable___visium_sa___101d0825-fcae-4f18-8d5e-682671f71e6f" } ```` ### ⚠️ Limitations - One search URL tops out around **10,000** unique jobs per run on paid tiers; free tier is lower. Split filters or run again if you need more. - Hiring.cafe can change; message us if something breaks. - Only **public** data from normal search. - **Not affiliated** with Hiring.cafe (see disclaimer). ### πŸ” SEO keywords Hiring.cafe scraper, hiringcafe, hiringcafe scraper, hiring cafe jobs, scrape hiring cafe, Hiring cafe api, hiring cafe CSV, hiring cafe JSON, Apify hiring cafe, job listings scraper, tech jobs dataset *** **Need a custom solution? Have a feature request or just want to chat?** We'd love to hear from you! - πŸ’¬ **Discord**: `@azzouzana` - πŸ“§ **Email**: ### βš–οΈ Disclaimer Independent tool, not affiliated with or endorsed by Hiring.cafe. Names and trademarks belong to their owners. # Actor input Schema ## `startUrl` (type: `string`): Copy the browser URL for the hiring.cafe search you want ## `maxItems` (type: `integer`): How many unique jobs to extract ## Actor input object example ```json { "startUrl": "https://hiring.cafe/?searchState=%7B%22sortBy%22%3A%22date%22%2C%22dateFetchedPastNDays%22%3A2%7D", "maxItems": 5000 } ``` # 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 = { "startUrl": "https://hiring.cafe/?searchState=%7B%22sortBy%22%3A%22date%22%2C%22dateFetchedPastNDays%22%3A2%7D", "maxItems": 5000 }; // Run the Actor and wait for it to finish const run = await client.actor("azzouzana/hiring-cafe-scraper-pro-by-search-url").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "startUrl": "https://hiring.cafe/?searchState=%7B%22sortBy%22%3A%22date%22%2C%22dateFetchedPastNDays%22%3A2%7D", "maxItems": 5000, } # Run the Actor and wait for it to finish run = client.actor("azzouzana/hiring-cafe-scraper-pro-by-search-url").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrl": "https://hiring.cafe/?searchState=%7B%22sortBy%22%3A%22date%22%2C%22dateFetchedPastNDays%22%3A2%7D", "maxItems": 5000 }' | apify call azzouzana/hiring-cafe-scraper-pro-by-search-url --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=azzouzana/hiring-cafe-scraper-pro-by-search-url", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "$1/1K πŸ”₯ Hiring.cafe Scraper PRO (By Search URL)", "description": "#1 πŸ”₯ Super simple! Paste your hiring.cafe search URL get thousands of jobs in seconds! ⚑ Comprehensive: title, company, location, salary, description, apply link, requirements & much more! 120+ datapoints per job! Export to JSON, CSV, Excel or API. Grab your search URLs and you're good to go πŸš€", "version": "0.0", "x-build-id": "yPySDMUPxOfyZCUdd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/azzouzana~hiring-cafe-scraper-pro-by-search-url/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-azzouzana-hiring-cafe-scraper-pro-by-search-url", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/azzouzana~hiring-cafe-scraper-pro-by-search-url/runs": { "post": { "operationId": "runs-sync-azzouzana-hiring-cafe-scraper-pro-by-search-url", "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/azzouzana~hiring-cafe-scraper-pro-by-search-url/run-sync": { "post": { "operationId": "run-sync-azzouzana-hiring-cafe-scraper-pro-by-search-url", "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": [ "startUrl" ], "properties": { "startUrl": { "title": "Search page URL", "type": "string", "description": "Copy the browser URL for the hiring.cafe search you want" }, "maxItems": { "title": "Max jobs to extract", "minimum": 5, "maximum": 10000, "type": "integer", "description": "How many unique jobs to extract", "default": 500 } } }, "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 } } } } } } } } } } ```