# Linkedin Company Search ($1.8 per 1000 results) (`igolaizola/linkedin-company-search`) Actor Fast LinkedIn Companies Scraper for B2B lead generation. Scrape LinkedIn company profiles from keywords and extract company names, IDs, URLs, websites, logos, descriptions, followers, employees, industry, size, headquarters, specialties, funding data, and firmographics. - **URL**: https://apify.com/igolaizola/linkedin-company-search.md - **Developed by:** [Iñigo Garcia Olaizola](https://apify.com/igolaizola) (community) - **Categories:** Lead generation, Social media, Jobs - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.40 / 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 ## LinkedIn Companies Scraper **LinkedIn Companies Scraper** is a fast, cost-efficient LinkedIn company profile scraper for B2B lead generation, prospecting, recruiting, sourcing, and market research. Use keywords to discover public LinkedIn company profiles and extract clean company data: company names, LinkedIn company IDs, numeric organization IDs, URLs, descriptions, logos, websites, follower counts, employee counts, industries, headquarters, specialties, funding data, and firmographic fields when available. This actor is especially useful when you need **high-volume LinkedIn company data extraction** without slow, expensive scraping workflows. It focuses on the fields that matter most for sales teams, recruiters, founders, investors, data teams, and growth teams building account lists or B2B lead lists. ### Why Use This Actor - **Fast LinkedIn company profile scraping** from any keyword, industry, niche, company type, or location. - **Lower cost per result** by focusing on lightweight company discovery and public profile enrichment. - **Clean company names and URLs** ready for CRM imports, enrichment tools, account lists, or outreach workflows. - **LinkedIn company IDs** extracted from URLs for deduplication and matching. - **Useful firmographic fields** such as industry, company size, headquarters, company type, founded year, specialties, website, followers, employee count, logo, cover image, and funding data when present publicly. - **Simple, structured output** focused on B2B lead generation, company prospecting, and market mapping. ### Best Use Cases - Build targeted B2B account lists from keywords like `fintech startups london`, `ai healthcare companies`, or `cybersecurity vendors germany`. - Find LinkedIn company URLs for companies in an industry, geography, niche, or market segment. - Collect LinkedIn company profile data for CRM enrichment, sales intelligence, recruiting, sourcing, and outbound prospecting. - Create company prospecting datasets for sales, partnerships, sourcing, recruiting, investment research, competitive analysis, or market mapping. - Quickly test company availability and market size for a keyword segment. ### Input Parameters | Field | Type | Required | Description | | --- | --- | --- | --- | | `query` | String | No | Optional keyword or phrase used to discover relevant public LinkedIn companies. Leave empty for a broad company search on the selected LinkedIn domain. | | `domain` | String | No | LinkedIn domain to target. Choose `linkedin.com` for any LinkedIn domain, `www.linkedin.com` for main global results only, or one of the localized country-code domains from the dropdown, such as `es.linkedin.com`, `ca.linkedin.com`, `uk.linkedin.com`, `fr.linkedin.com`, or `de.linkedin.com`. | | `maxItems` | Integer | Yes | Maximum number of companies to save. | #### LinkedIn Domain Use `domain` to choose which LinkedIn domain the actor should target: - `linkedin.com` for broad discovery across any LinkedIn domain, including localized subdomains. - `www.linkedin.com` for main global company discovery only. - Localized country-code domains such as `us.linkedin.com`, `uk.linkedin.com`, `es.linkedin.com`, `fr.linkedin.com`, `de.linkedin.com`, `ca.linkedin.com`, `au.linkedin.com`, or `in.linkedin.com` for country-focused discovery. The actor includes a dropdown with `Any LinkedIn domain (linkedin.com)`, `Global main site (www.linkedin.com)`, and all validated LinkedIn country-code domains. Localized options are labeled with the country or territory name plus the exact domain, for example `Spain (es.linkedin.com)` or `United States (us.linkedin.com)`. ### Example Input ```json { "query": "fintech startups san francisco", "domain": "linkedin.com", "maxItems": 100 } ```` For a localized search, select one of the country domains: ```json { "query": "renewable energy companies madrid", "domain": "es.linkedin.com", "maxItems": 100 } ``` ### Output Each dataset item contains a public LinkedIn company URL and structured fields derived from publicly visible discovery data. ```json { "id": "stripe", "linkedinId": "2135371", "url": "https://www.linkedin.com/company/stripe", "name": "Stripe", "tagline": "Help increase the GDP of the internet.", "followers": "1,440,947 followers", "employeeCount": "15,437 employees", "industry": "Software Development", "companySize": "1001-5000 employees", "headquarters": "South San Francisco, California", "type": "Privately Held", "founded": "2010", "specialties": "Payments, Financial Services, APIs", "website": "https://stripe.com", "fundingRounds": "20 total rounds", "lastFunding": "Series I", "lastFundingDate": "2023-03-15", "crunchbaseUrl": "https://www.crunchbase.com/organization/stripe", "image": "https://media.licdn.com/...", "coverImage": "https://media.licdn.com/...", "description": "Stripe is a financial infrastructure platform for businesses..." } ``` #### Output Fields - `id`: LinkedIn company identifier from the company URL. - `linkedinId`: Numeric LinkedIn organization ID when visible publicly. - `url`: Canonical public LinkedIn company URL. - `name`: Company name parsed from the public page title. - `tagline`: Short company tagline when visible publicly. - `followers`: LinkedIn follower count when visible publicly. - `employeeCount`: Employee count shown by LinkedIn when visible publicly. - `industry`: Company industry when present in public discovery data. - `companySize`: Company size range when present in public discovery data. - `headquarters`: Headquarters location when present in public discovery data. - `type`: Company type when present in public discovery data. - `founded`: Founded year when visible publicly. - `specialties`: Company specialties when visible publicly. - `website`: Company website when visible publicly. - `fundingRounds`: Total funding rounds when LinkedIn shows public funding data. - `lastFunding`: Last funding round type when LinkedIn shows public funding data. - `lastFundingDate`: Last funding round date when LinkedIn shows public funding data. - `crunchbaseUrl`: Public Crunchbase URL when LinkedIn shows a funding widget. - `image`: Company logo URL when visible publicly. - `coverImage`: Company cover image URL when visible publicly. - `description`: Short public description associated with the company. ### Tips For Better Results - Use industry plus context: `fintech startups`, `machine learning companies healthcare`, `cybersecurity vendors`. - Add geography when relevant: `saas companies berlin`, `recruiting agencies new york`, `logistics startups singapore`. - Use the LinkedIn domain dropdown for country-specific discovery. Choose `linkedin.com` for broad results across any LinkedIn domain, `www.linkedin.com` for main global results only, or a localized domain such as `es.linkedin.com`, `fr.linkedin.com`, `de.linkedin.com`, `ca.linkedin.com`, `uk.linkedin.com`, `au.linkedin.com`, or `in.linkedin.com` when the target market matters. - Run multiple focused queries instead of one very broad query for cleaner segmentation. - Increase `maxItems` when mapping larger markets or building broader company lead lists. ### Performance Notes This LinkedIn company scraper is optimized for speed and cost efficiency. It focuses on company discovery and lightweight enrichment, which makes it a strong fit for collecting company names, LinkedIn IDs, LinkedIn company URLs, websites, logos, follower counts, employee counts, and firmographic data at scale. For workflows that need emails, employee counts, funding, technologies, or deeper firmographic enrichment, use this actor as the first step and pass the resulting company URLs into your enrichment pipeline. # Actor input Schema ## `maxItems` (type: `integer`): Maximum number of LinkedIn companies to save. ## `query` (type: `string`): Keyword or phrase used to discover relevant public LinkedIn companies. ## `domain` (type: `string`): LinkedIn domain to target. Choose linkedin.com for any LinkedIn domain, www.linkedin.com for main global results, or a localized country-code domain. ## Actor input object example ```json { "maxItems": 10, "query": "fintech startups san francisco", "domain": "linkedin.com" } ``` # 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 = { "query": "fintech startups san francisco" }; // Run the Actor and wait for it to finish const run = await client.actor("igolaizola/linkedin-company-search").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 = { "query": "fintech startups san francisco" } # Run the Actor and wait for it to finish run = client.actor("igolaizola/linkedin-company-search").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 '{ "query": "fintech startups san francisco" }' | apify call igolaizola/linkedin-company-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=igolaizola/linkedin-company-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedin Company Search ($1.8 per 1000 results)", "description": "Fast LinkedIn Companies Scraper for B2B lead generation. Scrape LinkedIn company profiles from keywords and extract company names, IDs, URLs, websites, logos, descriptions, followers, employees, industry, size, headquarters, specialties, funding data, and firmographics.", "version": "0.0", "x-build-id": "bcQq5TwZDySfNgIhN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/igolaizola~linkedin-company-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-igolaizola-linkedin-company-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/igolaizola~linkedin-company-search/runs": { "post": { "operationId": "runs-sync-igolaizola-linkedin-company-search", "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/igolaizola~linkedin-company-search/run-sync": { "post": { "operationId": "run-sync-igolaizola-linkedin-company-search", "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": [ "maxItems" ], "properties": { "maxItems": { "title": "Max companies", "minimum": 1, "type": "integer", "description": "Maximum number of LinkedIn companies to save.", "default": 10 }, "query": { "title": "Keywords", "type": "string", "description": "Keyword or phrase used to discover relevant public LinkedIn companies." }, "domain": { "title": "LinkedIn domain", "enum": [ "linkedin.com", "www.linkedin.com", "ac.linkedin.com", "ad.linkedin.com", "ae.linkedin.com", "af.linkedin.com", "ag.linkedin.com", "ai.linkedin.com", "al.linkedin.com", "am.linkedin.com", "ao.linkedin.com", "aq.linkedin.com", "ar.linkedin.com", "as.linkedin.com", "at.linkedin.com", "au.linkedin.com", "aw.linkedin.com", "ax.linkedin.com", "az.linkedin.com", "ba.linkedin.com", "bb.linkedin.com", "bd.linkedin.com", "be.linkedin.com", "bf.linkedin.com", "bg.linkedin.com", "bh.linkedin.com", "bi.linkedin.com", "bj.linkedin.com", "bl.linkedin.com", "bm.linkedin.com", "bn.linkedin.com", "bo.linkedin.com", "br.linkedin.com", "bs.linkedin.com", "bt.linkedin.com", "bv.linkedin.com", "bw.linkedin.com", "by.linkedin.com", "bz.linkedin.com", "ca.linkedin.com", "cc.linkedin.com", "cd.linkedin.com", "cf.linkedin.com", "cg.linkedin.com", "ch.linkedin.com", "ci.linkedin.com", "ck.linkedin.com", "cl.linkedin.com", "cm.linkedin.com", "cn.linkedin.com", "co.linkedin.com", "cr.linkedin.com", "cu.linkedin.com", "cv.linkedin.com", "cw.linkedin.com", "cx.linkedin.com", "cy.linkedin.com", "cz.linkedin.com", "de.linkedin.com", "dj.linkedin.com", "dk.linkedin.com", "dm.linkedin.com", "do.linkedin.com", "dz.linkedin.com", "ec.linkedin.com", "ee.linkedin.com", "eg.linkedin.com", "eh.linkedin.com", "er.linkedin.com", "es.linkedin.com", "et.linkedin.com", "fi.linkedin.com", "fj.linkedin.com", "fk.linkedin.com", "fm.linkedin.com", "fo.linkedin.com", "fr.linkedin.com", "ga.linkedin.com", "gb.linkedin.com", "gd.linkedin.com", "ge.linkedin.com", "gf.linkedin.com", "gg.linkedin.com", "gh.linkedin.com", "gi.linkedin.com", "gl.linkedin.com", "gm.linkedin.com", "gn.linkedin.com", "gp.linkedin.com", "gq.linkedin.com", "gr.linkedin.com", "gs.linkedin.com", "gt.linkedin.com", "gu.linkedin.com", "gw.linkedin.com", "gy.linkedin.com", "hk.linkedin.com", "hm.linkedin.com", "hn.linkedin.com", "hr.linkedin.com", "ht.linkedin.com", "hu.linkedin.com", "id.linkedin.com", "ie.linkedin.com", "il.linkedin.com", "im.linkedin.com", "in.linkedin.com", "io.linkedin.com", "iq.linkedin.com", "ir.linkedin.com", "is.linkedin.com", "it.linkedin.com", "je.linkedin.com", "jm.linkedin.com", "jo.linkedin.com", "jp.linkedin.com", "ke.linkedin.com", "kg.linkedin.com", "kh.linkedin.com", "ki.linkedin.com", "km.linkedin.com", "kn.linkedin.com", "kp.linkedin.com", "kr.linkedin.com", "kw.linkedin.com", "ky.linkedin.com", "kz.linkedin.com", "la.linkedin.com", "lb.linkedin.com", "lc.linkedin.com", "li.linkedin.com", "lk.linkedin.com", "lr.linkedin.com", "ls.linkedin.com", "lt.linkedin.com", "lu.linkedin.com", "lv.linkedin.com", "ly.linkedin.com", "ma.linkedin.com", "mc.linkedin.com", "md.linkedin.com", "me.linkedin.com", "mf.linkedin.com", "mg.linkedin.com", "mh.linkedin.com", "mk.linkedin.com", "ml.linkedin.com", "mm.linkedin.com", "mn.linkedin.com", "mo.linkedin.com", "mp.linkedin.com", "mq.linkedin.com", "mr.linkedin.com", "ms.linkedin.com", "mt.linkedin.com", "mu.linkedin.com", "mv.linkedin.com", "mw.linkedin.com", "mx.linkedin.com", "my.linkedin.com", "mz.linkedin.com", "na.linkedin.com", "nc.linkedin.com", "ne.linkedin.com", "nf.linkedin.com", "ng.linkedin.com", "ni.linkedin.com", "nl.linkedin.com", "no.linkedin.com", "np.linkedin.com", "nr.linkedin.com", "nu.linkedin.com", "nz.linkedin.com", "om.linkedin.com", "pa.linkedin.com", "pe.linkedin.com", "pf.linkedin.com", "pg.linkedin.com", "ph.linkedin.com", "pk.linkedin.com", "pl.linkedin.com", "pm.linkedin.com", "pn.linkedin.com", "pr.linkedin.com", "ps.linkedin.com", "pt.linkedin.com", "pw.linkedin.com", "py.linkedin.com", "qa.linkedin.com", "re.linkedin.com", "ro.linkedin.com", "rs.linkedin.com", "ru.linkedin.com", "rw.linkedin.com", "sa.linkedin.com", "sb.linkedin.com", "sc.linkedin.com", "sd.linkedin.com", "se.linkedin.com", "sg.linkedin.com", "sh.linkedin.com", "si.linkedin.com", "sj.linkedin.com", "sk.linkedin.com", "sl.linkedin.com", "sm.linkedin.com", "sn.linkedin.com", "so.linkedin.com", "sr.linkedin.com", "ss.linkedin.com", "st.linkedin.com", "sv.linkedin.com", "sx.linkedin.com", "sy.linkedin.com", "sz.linkedin.com", "tc.linkedin.com", "td.linkedin.com", "tf.linkedin.com", "tg.linkedin.com", "th.linkedin.com", "tj.linkedin.com", "tk.linkedin.com", "tl.linkedin.com", "tm.linkedin.com", "tn.linkedin.com", "to.linkedin.com", "tr.linkedin.com", "tt.linkedin.com", "tv.linkedin.com", "tw.linkedin.com", "tz.linkedin.com", "ua.linkedin.com", "ug.linkedin.com", "uk.linkedin.com", "um.linkedin.com", "us.linkedin.com", "uy.linkedin.com", "uz.linkedin.com", "va.linkedin.com", "vc.linkedin.com", "ve.linkedin.com", "vg.linkedin.com", "vi.linkedin.com", "vn.linkedin.com", "vu.linkedin.com", "wf.linkedin.com", "ws.linkedin.com", "ye.linkedin.com", "yt.linkedin.com", "za.linkedin.com", "zm.linkedin.com", "zw.linkedin.com" ], "type": "string", "description": "LinkedIn domain to target. Choose linkedin.com for any LinkedIn domain, www.linkedin.com for main global results, or a localized country-code domain.", "default": "linkedin.com" } } }, "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 } } } } } } } } } } ```