# Welcome to the Jungle Jobs Scraper (`maximedupre/welcometothejungle-jobs-extractor`) Actor Scrape Welcome to the Jungle job listings from keywords, WTTJ search URLs, and job filters. Export titles, companies, locations, salaries, remote policy, contract type, source URLs, and optional job details. - **URL**: https://apify.com/maximedupre/welcometothejungle-jobs-extractor.md - **Developed by:** [Maxime DuprΓ©](https://apify.com/maximedupre) (community) - **Categories:** Lead generation, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.15 / 1,000 job listings 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 ### πŸ”Ž Scrape Welcome to the Jungle jobs Welcome to the Jungle Jobs Scraper extracts public job listings from [Welcome to the Jungle](https://www.welcometothejungle.com/) and saves them as clean Apify dataset rows. Use it to turn a search query, WTTJ search URLs, or job filters into structured job data with titles, companies, locations, salaries, remote policy, contract type, source URLs, and scrape timestamps. Start with the prefilled `data` search and a small job limit. When the output looks right, add city or country filters, paste a WTTJ jobs URL you already built in the browser, or enable full job details for descriptions, apply links, benefits, and profile text when the source exposes them. ### βœ… What this WTTJ jobs scraper does - Searches Welcome to the Jungle jobs by keyword. - Accepts WTTJ `/en/jobs` and `/fr/jobs` search URLs. - Preserves filters from pasted WTTJ search URLs when possible. - Supports English and French search pages. - Filters by country code, city or location, remote policy, contract type, job category, experience, salary, and posted date when WTTJ exposes those values. - Saves one dataset row per unique job listing. - Extracts job identity, URL, title, company, locations, salary fields, contract type, remote policy, profession data, and source context. - Can fetch full job details and company profile fields when you enable enrichment. - Works with Apify exports, API clients, schedules, webhooks, and integrations. This Actor focuses on public Welcome to the Jungle job listings. It does not log in, submit applications, scrape candidate data, contact companies, or create mixed company-only rows. ### πŸ“¦ What data you get Each saved item is one job listing. Fields can be empty when Welcome to the Jungle does not show that value for a specific job. - `jobId`, `reference`, `objectId`, and `slug`: WTTJ job identifiers. - `url`: canonical job URL. - `sourceLocale`: locale used for the source page. - `title`: job title. - `contractType` and `contractTypeLabel`: source contract fields. - `remotePolicy`: source remote-work value. - `publishedAt` and `language`: posting date and language when available. - `experienceMin` and `educationLevel`: source requirements when available. - `profession`: category, profession name, and raw profession object. - `company`: company name, slug, URL, logo, size, employee count, description, jobs count, and sectors when available. - `locations`, `primaryLocation`, `city`, `country`, and `countryCode`: office and location data. - `salary`: disclosed salary minimum, maximum, yearly minimum, currency, and period. - `descriptionText`, `descriptionHtml`, `profileText`, `recruitmentProcess`, `applyUrl`, and `benefits`: optional detail fields. - `sourceSearchUrl`, `sourceInput`, `inputIndex`, `dedupeKey`, and `scrapedAt`: source and run metadata. ### 🧭 Common use cases - Track hiring demand on Welcome to the Jungle by role, location, contract type, or remote policy. - Build repeatable WTTJ job exports for recruiting research, market mapping, or job-board analysis. - Monitor companies hiring for data, product, engineering, sales, marketing, finance, or HR roles. - Compare disclosed salaries, contract types, and workplace policies across WTTJ searches. - Feed job data into spreadsheets, dashboards, CRMs, warehouses, or API workflows. - Schedule recurring runs and join jobs over time with stable WTTJ identifiers. ### πŸš€ How to run it For the easiest first run: 1. Keep `Search query` set to `data`. 2. Keep `Job limit` small, such as `10` or `25`. 3. Run the Actor. 4. Open the dataset and export the rows as JSON, CSV, Excel, XML, RSS, or through the Apify API. You can also paste one or more WTTJ jobs search URLs into `WTTJ search URLs`. This is useful when you already configured filters on Welcome to the Jungle and want the Actor to preserve those filters. ### πŸŽ›οΈ Input options | Field | What it does | | --- | --- | | `query` | Role, skill, company, or keyword to search for. | | `searchUrls` | Welcome to the Jungle jobs search URLs from `/en/jobs` or `/fr/jobs`. | | `locale` | Language used for searches built from filters. Pasted URLs keep their own language when possible. | | `countryCodes` | Optional two-letter country filters, such as `FR`, `GB`, or `DE`. | | `locations` | Optional city or region filters, such as `Paris` or `London`. | | `remotePolicies` | Remote-work filters such as `full`, `partial`, `punctual`, or `no`. | | `contractTypes` | Contract filters such as `full_time`, `internship`, `part_time`, or `freelance`. | | `categories` | Profession or category terms such as `tech`, `data`, `sales`, or `marketing`. | | `experienceMin` and `experienceMax` | Minimum or maximum years of experience when WTTJ exposes the value. | | `salaryMin` | Minimum disclosed yearly salary. | | `postedWithin` | Time window for recently posted jobs when WTTJ exposes the value. | | `includeJobDetails` | Fetches full job descriptions and extra job fields when available. | | `includeCompanyDetails` | Adds company profile fields when available. | | `maxItems` | Maximum job rows to save across the whole run. | You do not need Welcome to the Jungle cookies, a login, a source API key, or a proxy setting. ### 🧾 Input examples Search by keyword: ```json { "query": "data", "locale": "en", "maxItems": 25 } ```` Search from a WTTJ URL: ```json { "searchUrls": [ { "url": "https://www.welcometothejungle.com/en/jobs?query=data&page=1" } ], "maxItems": 25 } ``` Search with filters and enrichment: ```json { "query": "product manager", "locale": "en", "countryCodes": ["FR"], "locations": ["Paris"], "contractTypes": ["full_time"], "remotePolicies": ["partial"], "includeJobDetails": true, "includeCompanyDetails": true, "maxItems": 50 } ``` ### πŸ“Š Output example ```json { "jobId": "THALE_JDyobLb", "reference": "THALE_JDyobLb", "objectId": "4112610", "slug": "manager-consultant-data-h-f_velizy_THALE_JDyobLb", "url": "https://www.welcometothejungle.com/en/companies/thales/jobs/manager-consultant-data-h-f_velizy_THALE_JDyobLb", "sourceLocale": "en", "title": "Manager Consultant Data (H/F)", "contractType": "FULL_TIME", "contractTypeLabel": "Full-Time", "remotePolicy": "unknown", "publishedAt": "2026-06-06T00:00:00.000+02:00", "company": { "name": "Thales", "slug": "thales", "url": "https://www.welcometothejungle.com/en/companies/thales", "employeeCount": 80000, "size": "> 2,000 employees" }, "primaryLocation": "VΓ©lizy, Ile-de-France, France", "countryCode": "FR", "salary": { "hasSalary": false, "min": null, "max": null, "yearlyMinimum": null, "currency": null, "period": "none" }, "sourceSearchUrl": "https://www.welcometothejungle.com/en/jobs?query=data", "dedupeKey": "THALE_JDyobLb", "scrapedAt": "2026-06-05T22:40:00.000Z" } ``` ### πŸ’³ Pricing This Actor uses pay-per-event pricing. You are charged for each saved job listing. Runs that find no matching jobs do not create job-listing charge events. Current pay-per-saved-job pricing: - FREE: `$0.00445` per saved job listing - BRONZE: `$0.00405` per saved job listing - SILVER: `$0.00360` per saved job listing - GOLD, PLATINUM, DIAMOND: `$0.00315` per saved job listing ### ⚠️ Limits and caveats - Welcome to the Jungle may not expose every field for every job. Empty salary, profession, location, or detail fields are normal for some listings. - Detail enrichment is slower than a search-only run because the Actor opens job detail pages. - Pasted WTTJ URLs are supported for jobs search pages. Company-only pages and application submission are outside this Actor's scope. - The dataset contains job rows only. Invalid inputs and no-result targets are reported in logs, not as fake dataset rows. - Duplicate jobs across overlapping searches are saved once. ### ❓ FAQ #### πŸ”— Can I paste a Welcome to the Jungle search URL? Yes. Paste a WTTJ jobs URL from `/en/jobs` or `/fr/jobs` into `WTTJ search URLs`. The Actor keeps URL filters when possible. #### πŸ” Do I need a Welcome to the Jungle account? No. This Actor extracts public job listings and does not ask for WTTJ cookies, login credentials, or a source API key. #### πŸ“„ Can I get full job descriptions? Yes. Enable `Include full job details`. The Actor then fetches detail pages and saves description, profile, recruitment process, apply URL, and benefits when available. #### πŸ’° Why are some salary fields empty? Some jobs do not show a disclosed salary on Welcome to the Jungle. The Actor only saves salary values that the source exposes. #### ⏱️ Can I schedule this Actor? Yes. Use Apify schedules for recurring runs and use `reference`, `url`, or `dedupeKey` to join jobs across exports. ### πŸ“ Changelog - 0.0: Initial release. ### πŸ†˜ Support For issues, questions, or feature requests, [file a ticket](https://console.apify.com/actors/maximedupre~welcometothejungle-jobs-extractor/issues) and I'll fix or implement it in less than 24h 🫑 ### πŸ”— Other actors - [CWjobs Scraper β†—](https://apify.com/maximedupre/cwjobs-scraper) - Scrape UK tech job listings from CWjobs searches and URLs. - [Freelancer Scraper β†—](https://apify.com/maximedupre/freelancer-scraper) - Export Freelancer.com projects and freelancer profile cards. - [LinkedIn Company Scraper β†—](https://apify.com/maximedupre/linkedin-company-scraper) - Extract public company profile facts from known LinkedIn companies. - [LinkedIn Company People Scraper β†—](https://apify.com/maximedupre/linkedin-company-people-scraper) - Export visible people from LinkedIn company People pages. - [TeamBlind Reviews Scraper β†—](https://apify.com/maximedupre/teamblind-reviews-scraper) - Collect public company reviews for employer and hiring-market research. **Made with ❀️ by Maxime DuprΓ©** # Actor input Schema ## `query` (type: `string`): Role, skill, company, or keyword to search for, such as data, product manager, or backend engineer. Leave empty when using only WTTJ search URLs. ## `searchUrls` (type: `array`): Paste Welcome to the Jungle jobs search URLs when you already built a search on WTTJ. URLs can use `/en/jobs` or `/fr/jobs`. ## `locale` (type: `string`): Language to use for filter-built searches. Pasted WTTJ URLs keep their own language when possible. ## `countryCodes` (type: `array`): Optional two-letter country codes such as FR, GB, US, DE, ES, CZ, or SK. ## `locations` (type: `array`): Optional cities or regions, such as Paris, London, Berlin, or Remote. ## `remotePolicies` (type: `array`): Remote work filters. Use full, partial, punctual, or no. ## `contractTypes` (type: `array`): Optional contract filters such as full\_time, internship, part\_time, freelance, apprenticeship, temporary, graduate\_program, vie, volunteer, or other. ## `categories` (type: `array`): Optional profession or category terms, such as tech, data, sales, marketing, product, design, finance, or HR. ## `experienceMin` (type: `integer`): Only save jobs asking for at least this many years of experience when WTTJ exposes the value. ## `experienceMax` (type: `integer`): Only save jobs asking for at most this many years of experience when WTTJ exposes the value. ## `salaryMin` (type: `integer`): Only save jobs with a disclosed yearly salary at or above this amount. ## `postedWithin` (type: `string`): Only save jobs posted in the selected time window when WTTJ exposes the filter. ## `includeJobDetails` (type: `boolean`): Fetch full job descriptions and extra job fields when available. This is slower than the default search-only run. ## `includeCompanyDetails` (type: `boolean`): Add company profile fields such as website, social links, sectors, size, logo, and jobs count when available. ## `maxItems` (type: `integer`): Maximum job rows to save across the whole run. Use a small limit for your first run. ## Actor input object example ```json { "query": "data", "searchUrls": [ { "url": "https://www.welcometothejungle.com/en/jobs?query=data&page=1" } ], "locale": "en", "locations": [ "Paris" ], "categories": [ "data" ], "postedWithin": "any", "includeJobDetails": false, "includeCompanyDetails": false, "maxItems": 25 } ``` # Actor output Schema ## `results` (type: `string`): Open the dataset with job titles, companies, locations, salaries, source URLs, optional details, and scrape metadata. # 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 = { "query": "data", "searchUrls": [ { "url": "https://www.welcometothejungle.com/en/jobs?query=data&page=1" } ], "locations": [ "Paris" ], "categories": [ "data" ], "maxItems": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("maximedupre/welcometothejungle-jobs-extractor").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 = { "query": "data", "searchUrls": [{ "url": "https://www.welcometothejungle.com/en/jobs?query=data&page=1" }], "locations": ["Paris"], "categories": ["data"], "maxItems": 25, } # Run the Actor and wait for it to finish run = client.actor("maximedupre/welcometothejungle-jobs-extractor").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 '{ "query": "data", "searchUrls": [ { "url": "https://www.welcometothejungle.com/en/jobs?query=data&page=1" } ], "locations": [ "Paris" ], "categories": [ "data" ], "maxItems": 25 }' | apify call maximedupre/welcometothejungle-jobs-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=maximedupre/welcometothejungle-jobs-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Welcome to the Jungle Jobs Scraper", "description": "Scrape Welcome to the Jungle job listings from keywords, WTTJ search URLs, and job filters. Export titles, companies, locations, salaries, remote policy, contract type, source URLs, and optional job details.", "version": "0.0", "x-build-id": "tfeKN73EFfR4DayQn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/maximedupre~welcometothejungle-jobs-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-maximedupre-welcometothejungle-jobs-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/maximedupre~welcometothejungle-jobs-extractor/runs": { "post": { "operationId": "runs-sync-maximedupre-welcometothejungle-jobs-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/maximedupre~welcometothejungle-jobs-extractor/run-sync": { "post": { "operationId": "run-sync-maximedupre-welcometothejungle-jobs-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search query", "type": "string", "description": "Role, skill, company, or keyword to search for, such as data, product manager, or backend engineer. Leave empty when using only WTTJ search URLs." }, "searchUrls": { "title": "WTTJ search URLs", "type": "array", "description": "Paste Welcome to the Jungle jobs search URLs when you already built a search on WTTJ. URLs can use `/en/jobs` or `/fr/jobs`.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "title": "URL", "type": "string", "description": "A Welcome to the Jungle jobs search URL.", "pattern": "^https?://(www\\.)?welcometothejungle\\.com/" } } } }, "locale": { "title": "Search language", "enum": [ "en", "fr" ], "type": "string", "description": "Language to use for filter-built searches. Pasted WTTJ URLs keep their own language when possible.", "default": "en" }, "countryCodes": { "title": "Country codes", "type": "array", "description": "Optional two-letter country codes such as FR, GB, US, DE, ES, CZ, or SK.", "items": { "type": "string", "minLength": 2, "maxLength": 2 } }, "locations": { "title": "Locations", "type": "array", "description": "Optional cities or regions, such as Paris, London, Berlin, or Remote.", "items": { "type": "string", "minLength": 1 } }, "remotePolicies": { "title": "Remote policies", "type": "array", "description": "Remote work filters. Use full, partial, punctual, or no.", "items": { "type": "string", "minLength": 1 } }, "contractTypes": { "title": "Contract types", "type": "array", "description": "Optional contract filters such as full_time, internship, part_time, freelance, apprenticeship, temporary, graduate_program, vie, volunteer, or other.", "items": { "type": "string", "minLength": 1 } }, "categories": { "title": "Job categories", "type": "array", "description": "Optional profession or category terms, such as tech, data, sales, marketing, product, design, finance, or HR.", "items": { "type": "string", "minLength": 1 } }, "experienceMin": { "title": "Minimum experience", "minimum": 0, "type": "integer", "description": "Only save jobs asking for at least this many years of experience when WTTJ exposes the value." }, "experienceMax": { "title": "Maximum experience", "minimum": 0, "type": "integer", "description": "Only save jobs asking for at most this many years of experience when WTTJ exposes the value." }, "salaryMin": { "title": "Minimum yearly salary", "minimum": 0, "type": "integer", "description": "Only save jobs with a disclosed yearly salary at or above this amount." }, "postedWithin": { "title": "Posted within", "enum": [ "any", "today", "3days", "week", "month" ], "type": "string", "description": "Only save jobs posted in the selected time window when WTTJ exposes the filter.", "default": "any" }, "includeJobDetails": { "title": "Include full job details", "type": "boolean", "description": "Fetch full job descriptions and extra job fields when available. This is slower than the default search-only run.", "default": false }, "includeCompanyDetails": { "title": "Include company details", "type": "boolean", "description": "Add company profile fields such as website, social links, sectors, size, logo, and jobs count when available.", "default": false }, "maxItems": { "title": "Job limit", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum job rows to save across the whole run. Use a small limit for your first run.", "default": 50 } } }, "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 } } } } } } } } } } ```