# Levels.fyi Salary Scraper (`gio21/levels-fyi-salary-scraper`) Actor Scrape compensation data from Levels.fyi by company and role: base, equity, bonus, and total comp with percentile breakdowns. - **URL**: https://apify.com/gio21/levels-fyi-salary-scraper.md - **Developed by:** [Gio](https://apify.com/gio21) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 1,000 salary record scrapeds 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Levels.fyi Salary Scraper Scrape **compensation data** from **Levels.fyi** for any company + role combination: base salary, equity, bonus, and total compensation, each broken down into 10th/25th/median/75th/90th percentiles. No login needed. ### Input | Field | Type | Description | |-------|------|-------------| | `company` | string | Company slug on levels.fyi, e.g. `google` | | `role` | string | Role slug on levels.fyi, e.g. `software-engineer` (default) | | `startUrls` | array | Optional: full levels.fyi salary page URLs, overrides company/role | Example: ```json { "company": "google", "role": "software-engineer" } ```` ### Output ```json { "company": "Google", "role": "Software Engineer", "sampleSize": 137, "industry": "Tech", "yearsExperienceMin": 0, "yearsExperienceMax": 28, "location": "United States", "totalComp": {"currency": "USD", "percentile10": 175000, "percentile25": 212000, "median": 316000, "percentile75": 431000, "percentile90": 550000}, "baseSalary": {"currency": "USD", "percentile10": 150000, "percentile25": 172000, "median": 200000, "percentile75": 235000, "percentile90": 250000}, "equity": {"currency": "USD", "percentile10": 25000, "percentile25": 40000, "median": 90000, "percentile75": 160000, "percentile90": 250000}, "bonus": {"currency": "USD", "percentile10": null, "percentile25": null, "median": 26000, "percentile75": 36000, "percentile90": 50000}, "url": "https://www.levels.fyi/companies/google/salaries/software-engineer", "scrapedAt": "2026-07-25T00:00:00.000Z" } ``` ### Pricing Pay-per-event: **$0.01 per record** ($10 per 1,000 records). Free users: up to 10 records per run. ### Use cases - Compensation benchmarking for recruiters and comp teams - Candidate research before salary negotiation - Building compensation datasets across companies and roles - Tracking pay trends for specific tech roles # Actor input Schema ## `company` (type: `string`): Company slug as used on levels.fyi, e.g. "google", "amazon", "meta". ## `role` (type: `string`): Role slug as used on levels.fyi, e.g. "software-engineer", "product-manager", "data-scientist". ## `startUrls` (type: `array`): Optional: full levels.fyi salary page URLs to scrape directly instead of company+role, e.g. https://www.levels.fyi/companies/google/salaries/software-engineer. Overrides company/role if set. ## Actor input object example ```json { "company": "google", "role": "software-engineer" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "company": "google", "role": "software-engineer" }; // Run the Actor and wait for it to finish const run = await client.actor("gio21/levels-fyi-salary-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "company": "google", "role": "software-engineer", } # Run the Actor and wait for it to finish run = client.actor("gio21/levels-fyi-salary-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 '{ "company": "google", "role": "software-engineer" }' | apify call gio21/levels-fyi-salary-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gio21/levels-fyi-salary-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Levels.fyi Salary Scraper", "description": "Scrape compensation data from Levels.fyi by company and role: base, equity, bonus, and total comp with percentile breakdowns.", "version": "0.0", "x-build-id": "gOX5k6Roykxnk5oSs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gio21~levels-fyi-salary-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gio21-levels-fyi-salary-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gio21~levels-fyi-salary-scraper/runs": { "post": { "operationId": "runs-sync-gio21-levels-fyi-salary-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gio21~levels-fyi-salary-scraper/run-sync": { "post": { "operationId": "run-sync-gio21-levels-fyi-salary-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "company": { "title": "Company slug", "type": "string", "description": "Company slug as used on levels.fyi, e.g. \"google\", \"amazon\", \"meta\"." }, "role": { "title": "Role slug", "type": "string", "description": "Role slug as used on levels.fyi, e.g. \"software-engineer\", \"product-manager\", \"data-scientist\".", "default": "software-engineer" }, "startUrls": { "title": "Direct levels.fyi URLs (optional)", "type": "array", "description": "Optional: full levels.fyi salary page URLs to scrape directly instead of company+role, e.g. https://www.levels.fyi/companies/google/salaries/software-engineer. Overrides company/role if set.", "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 } } } } } } } } } } ```