# Themuse Jobs Search Scraper (`stealth_mode/themuse-jobs-search-scraper`) Actor Scrape structured job listings from TheMuse.com including titles, salaries, employment types, locations, company details, and 20+ fields per listing. Perfect for job market analysts, recruiters, and career platform developers. - **URL**: https://apify.com/stealth\_mode/themuse-jobs-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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. 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 ## The Muse Jobs Scraper: Extract Job Listings & Company Data at Scale --- ### What Is TheMuse.com? The Muse is a career platform known for going beyond standard job boards — it combines job listings with company culture profiles, employee videos, and workplace insights. This makes its data especially valuable for understanding not just *what* roles are available, but *where* and *how* companies hire. Manually collecting this data is impractical at scale. The **TheMuse.com Jobs Scraper** automates extraction from search result pages, delivering clean, structured records ready for analysis or integration. --- ### Overview The **TheMuse Jobs Scraper** targets The Muse's job search pages, collecting detailed listing data including compensation, seniority levels, employment types, remote work status, and company metadata. Ideal for: - **Job market researchers** analyzing hiring trends by category or location - **Recruiters** benchmarking roles and salaries across industries - **Career platform developers** aggregating multi-source job feeds - **HR analysts** studying remote work patterns and employment types --- ### Input Format The scraper accepts a JSON configuration object with three parameters: ```json { "urls": [ "https://www.themuse.com/search/keyword/audit?_search_id=ee3e9151-c301-4d8c-b1d9-862edf115358&page=2&job=goodrx%2Fsr-software-engineer-c1001a" ], "ignore_url_failures": true, "max_items_per_url": 50 } ```` | Field | Type | Description | |---|---|---| | `urls` | `array` | One or more The Muse job search URLs to scrape. Add URLs one by one or use Bulk Edit for large lists. | | `ignore_url_failures` | `boolean` | If `true`, the scraper continues running when a URL fails instead of stopping the entire run. Recommended for bulk jobs. Default: `true`. | | `max_items_per_url` | `integer` | Maximum number of job listings to collect per URL. Useful for capping large search results. Default: `20`. | > **Tip:** To scrape multiple keyword searches, add each search result page URL as a separate entry in the `urls` array. You can paginate by modifying the `page=` parameter in the URL. *** ### Output Format **Sample output** ```json { "title": "Fossil Americas Upgrades Senior Project Manager", "normalized_title": "Fossil Americas Upgrades Senior Project Manager", "short_title": "fossil-americas-upgrades-senior-project-manager-e2316b", "id": 21727224, "state": "live", "type": "external", "content": [ "

Job Description Summary

As a Senior Project Manager, you will be responsible for overseeing and coordinating activities within Steam Power Upgrade Services steam turbine and generator rotating equipment projects, ensuring GE Vernova's contractual obligations are fulfilled. This role demands strict adherence to financial, commercial, and technical parameters, with a strong emphasis on customer satisfaction. You will focus on the execution of project activities, following the established Upgrade Process.

Job Description

Roles and Responsibilities


Required Qualifications


Desired Characteristics


Additional Information

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: No

#LI-Remote - This is a remote position

Application Deadline: June 01, 2026

For candidates applying to a U.S. based position, the pay range for this position is between $104,200.00 and $173,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.
", "
Bonus eligibility: discretionary annual bonus.

This posting is expected to remain open for at least seven days after it was posted on May 18, 2026.

Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

GE Vernova Inc. or its affiliates (collectively or individually, \"GE Vernova\") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

" ], "apply_link": "https://careers.gevernova.com/fossil-americas-upgrades-senior-project-manager/job/R5041940", "posted_date": "2026-05-19T18:31:40", "posted_age": "Yesterday", "uuid": "4e03c937-a900-4968-82a7-382832183421", "ats_info": { "id": "GE_power-1207384048", "provider": "aspen" }, "employment_types": [ "FULL_TIME" ], "salary": { "currency": "USD", "min": 104200, "max": 173700, "unit": "per year" }, "categories": [ { "label": "Project Management", "value": "project_management" } ], "locations": [ { "label": "Flexible / Remote", "value": "86" }, { "label": "Terrace, Canada", "value": "3613" } ], "levels": [ { "label": "senior", "value": "4" } ], "hiring_manager_playlist": null, "object": "job_search_hit", "legacy_id": 21727224, "apply_type": "external", "company": { "name": "GE Vernova", "short_name": "gevernova", "logo": "https://assets.themuse.com/uploaded/companies/15000121/small_logo.png", "legacy_id": 15000121, "perks_and_benefits": [ { "name": "Health Insurance", "code": "health_insurance" }, { "name": "Health Reimbursement Account", "code": "health_reimbursement_account" }, { "name": "Dental Insurance", "code": "dental_insurance" }, { "name": "Vision Insurance", "code": "vision_insurance" }, { "name": "Life Insurance", "code": "life_insurance" }, { "name": "Short-Term Disability", "code": "short_term_disability" }, { "name": "Long-Term Disability", "code": "long_term_disability" }, { "name": "FSA", "code": "fsa" }, { "name": "FSA With Employer Contribution", "code": "fsa_with_employer_contribution" }, { "name": "HSA", "code": "hsa" }, { "name": "HSA With Employer Contribution", "code": "hsa_with_employer_contribution" }, { "name": "Fitness Subsidies", "code": "fitness_subsidies" }, { "name": "On-Site Gym", "code": "on_site_gym" }, { "name": "Flexible Work Hours", "code": "flexible_work_hours" }, { "name": "Remote Work Opportunities", "code": "remote_work_opportunities" }, { "name": "Commuter Benefits Program", "code": "commuter_benefits_program" }, { "name": "Casual Dress", "code": "casual_dress" }, { "name": "Diversity, Equity, and Inclusion Program", "code": "diversity_and_inclusion_program" }, { "name": "Tuition Reimbursement", "code": "tuition_reimbursement" }, { "name": "Access to Online Courses", "code": "access_to_online_courses" }, { "name": "Lunch and Learns", "code": "lunch_and_learns" }, { "name": "Unlimited Paid Time Off", "code": "unlimited_vacation" }, { "name": "Paid Holidays", "code": "paid_holidays" }, { "name": "Personal/Sick Days", "code": "personal_sick_days" }, { "name": "401(K)", "code": "401k" }, { "name": "Stock Purchase Program", "code": "stock_purchase_program" }, { "name": "Performance Bonus", "code": "performance_bonus" }, { "name": "Relocation Assistance", "code": "relocation_assistance" }, { "name": "Mental Health Benefits", "code": "mental_health_benefits" }, { "name": "Adoption Assistance Program", "code": "adoption_assistance" }, { "name": "Family Support Resources", "code": "family_support_resources" }, { "name": "Financial Counseling", "code": "financial_counseling" }, { "name": "Profit Sharing", "code": "profit_sharing" }, { "name": "Hybrid Work Opportunities", "code": "hybrid_work_opportunities" }, { "name": "On-Site Cafeteria", "code": "on_site_cafeteria" }, { "name": "Holiday Events", "code": "holiday_events" }, { "name": "Employee Resource Groups (ERG)", "code": "employer_resources_groups" }, { "name": "Leadership Training Program", "code": "leadership_training" }, { "name": "Unconscious Bias Training", "code": "unconscious_bias_training" }, { "name": "Internship Program", "code": "fellowship_program" }, { "name": "Birth Parent or Maternity Leave", "code": "maternity_leave" }, { "name": "Associate or Rotational Training Program", "code": "associate_training" }, { "name": "Summer Fridays", "code": "summer_fridays" }, { "name": "Adoption Leave", "code": "adoption_leave" }, { "name": "401(K) With Company Matching", "code": "401k_with_matching" } ], "leadership_attributes": [ { "name": "Diversity, Equity, and Inclusion Program", "code": "diversity_and_inclusion_program" }, { "name": "Employee Resource Groups (ERG)", "code": "employer_resources_groups" }, { "name": "Unconscious Bias Training", "code": "unconscious_bias_training" } ], "package": "Advanced", "client_tier": null }, "remote_work_location_type": "virtual", "posted_at": 1779215500, "from_url": "https://www.themuse.com/search/keyword/audit?_search_id=ee3e9151-c301-4d8c-b1d9-862edf115358&page=2&job=gevernova%2Ffossil-americas-upgrades-senior-project-manager-0d7f60" } ``` Each job record returns up to 24 structured fields: #### Identification & Core Info | Field | Meaning | |---|---| | `ID` | Internal numeric identifier for the listing | | `UUID` | Universally unique identifier (useful for deduplication across runs) | | `Legacy ID` | Older identifier retained for backward compatibility | | `Title` | Full job title as displayed on the listing | | `Normalized Title` | Standardized version of the title for consistent categorization | | `Short Title` | Abbreviated title used in compact UI contexts | | `Slug` | URL-friendly string derived from the title | | `State` | Publication state of the listing (e.g., active, closed) | | `Type` | Listing type classification within The Muse's taxonomy | #### Dates & Timing | Field | Meaning | |---|---| | `Posted Date` | Human-readable date when the listing was published | | `Posted At` | ISO timestamp of publication (precise, machine-readable) | | `Posted Age` | Time elapsed since posting (e.g., "3 days ago") | #### Job Details | Field | Meaning | |---|---| | `Content` | Full job description content | | `Employment Types` | Contract types (e.g., full-time, part-time, contract) | | `Salary` | Compensation range or salary information, when provided | | `Categories` | Job function categories (e.g., Engineering, Marketing) | | `Levels` | Seniority levels (e.g., Entry, Mid, Senior, Manager) | | `Locations` | Listed job locations (city, state, or country) | | `Remote Work Location Type` | Remote status (e.g., fully remote, hybrid, on-site) | #### Application Info | Field | Meaning | |---|---| | `Apply Link` | Direct URL to the application page | | `Apply Type` | Method of application (e.g., external ATS, native The Muse form) | | `ATS Info` | Applicant Tracking System metadata, if available | #### Company & Additional Data | Field | Meaning | |---|---| | `Company` | Employer name and associated metadata (may include culture profile link) | | `Hiring Manager Playlist` | Video or content playlist from the hiring team, if available | | `Object` | Raw object type indicator from the API response | *** ### How to Use 1. **Get search URLs** — Run a keyword or category search on [themuse.com](https://www.themuse.com) and copy the full URL from your browser, including any filters applied. 2. **Paste into `urls`** — Add one or more search page URLs to the array. 3. **Set limits** — Adjust `max_items_per_url` based on how many results you need per search. 4. **Enable fault tolerance** — Keep `ignore_url_failures: true` for batch runs to avoid interruptions from occasional failed pages. 5. **Export** — Download results as JSON, CSV, or Excel. **Common issues:** - If results are fewer than expected, check whether the search URL requires login — The Muse may gate some results for authenticated users. - To get more pages, duplicate the URL entry with an incremented `page=` parameter (e.g., `page=3`, `page=4`). *** ### Use Cases & Business Value - **Salary benchmarking:** Aggregate compensation data across roles, levels, and industries - **Remote work analysis:** Track remote vs. hybrid vs. on-site trends by category - **Job board aggregation:** Feed structured listings into custom career platforms - **Competitive intelligence:** Monitor how companies position roles and what seniority levels they're hiring at *** ### Conclusion The **TheMuse.com Jobs Scraper** unlocks structured access to one of the web's most culture-rich job platforms. With 24 output fields covering compensation, seniority, remote status, and company context, it delivers far more than basic listing data — enabling deeper workforce and market insights with minimal effort. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the Jobs list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "urls": [ "https://www.themuse.com/search/keyword/audit?_search_id=ee3e9151-c301-4d8c-b1d9-862edf115358&page=2&job=goodrx%2Fsr-software-engineer-c1001a" ], "ignore_url_failures": true, "max_items_per_url": 20 } ``` # 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 = { "urls": [ "https://www.themuse.com/search/keyword/audit?_search_id=ee3e9151-c301-4d8c-b1d9-862edf115358&page=2&job=goodrx%2Fsr-software-engineer-c1001a" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/themuse-jobs-search-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 = { "urls": ["https://www.themuse.com/search/keyword/audit?_search_id=ee3e9151-c301-4d8c-b1d9-862edf115358&page=2&job=goodrx%2Fsr-software-engineer-c1001a"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/themuse-jobs-search-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 '{ "urls": [ "https://www.themuse.com/search/keyword/audit?_search_id=ee3e9151-c301-4d8c-b1d9-862edf115358&page=2&job=goodrx%2Fsr-software-engineer-c1001a" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/themuse-jobs-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/themuse-jobs-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Themuse Jobs Search Scraper", "description": "Scrape structured job listings from TheMuse.com including titles, salaries, employment types, locations, company details, and 20+ fields per listing. Perfect for job market analysts, recruiters, and career platform developers.", "version": "0.0", "x-build-id": "1EU588RbenPp92924" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~themuse-jobs-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-themuse-jobs-search-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/stealth_mode~themuse-jobs-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-themuse-jobs-search-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/stealth_mode~themuse-jobs-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-themuse-jobs-search-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": { "urls": { "title": "URLs of the Jobs list urls to scrape", "type": "array", "description": "Add the URLs of the Jobs list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "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 } } } } } } } } } } ```