# LinkedIn Jobs Scraper - Bulk Anonymous Job Extraction (`viralanalyzer/linkedin-jobs-multi-country`) Actor Scrape LinkedIn job listings in bulk globally without any login, cookies, or account bans. High-performance, cost-efficient guest API extractor. Fully integrated with Pay-Per-Event (PPE) pricing ($0.02 per job). - **URL**: https://apify.com/viralanalyzer/linkedin-jobs-multi-country.md - **Developed by:** [viralanalyzer](https://apify.com/viralanalyzer) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Jobs Scraper - Bulk Anonymous Job Extraction (BYOC & PPE) Extract organic LinkedIn job listings in bulk globally without any login, cookies, or account bans. High-performance, cost-efficient guest API extractor. Fully integrated with Pay-Per-Event (PPE) pricing. --- ### 🇧🇷 Português #### Funcionalidades * **100% Anônimo (Zero Login/Cookies)**: Utiliza a API pública de feeds de vagas para convidados do LinkedIn. Sem risco de banimento de conta! * **Evasão Avançada de Bloqueios**: Integrado com o pool de proxies da Apify (incluindo proxies residenciais por padrão) e motor `got-scraping` para total blindagem. * **Paginação em Massa**: Extração de centenas de vagas com paginação automática simulada. * **Faturamento Pay-Per-Event (PPE)**: Você só paga **$0.02 USD** por vaga extraída com sucesso. Sem custos ocultos! * **Fácil de Integrar**: Saídas limpas em JSON, CSV ou Excel prontas para ferramentas de enriquecimento de leads e CRM. #### Como Funciona Insira as palavras-chave da vaga, a localidade e o limite máximo de vagas a extrair. O Actor realiza requisições sequenciais otimizadas e entrega os dados estruturados no seu dataset da Apify. #### Parâmetros de Entrada - `keywords` (string, padrão: `"Data Engineer"`): Cargo ou termos de pesquisa. - `location` (string, padrão: `"United States"`): Cidade, estado ou país alvo. - `maxJobs` (integer, padrão: `50`): Quantidade de vagas a coletar. - `publishedWithin` (string, padrão: `"any"`): Filtros de tempo (`any`, `24h`, `week`, `month`). --- ### 🇺🇸 English #### Features * **100% Anonymous (No Login/Cookies)**: Powered by LinkedIn's guest job feed API. Absolute zero risk of account bans! * **Advanced Evasion**: Features Crawlee's `got-scraping` browser fingerprinting and Apify's residential proxies pool. * **Bulk Pagination**: Automatically navigates through sequential pages to fetch hundreds of job listings. * **Pay-Per-Event (PPE) Pricing**: Pay only **$0.02 USD** per job listing extracted successfully. No platform trial limits! * **B2B Integrations Ready**: Perfect structured output (JSON, CSV, Excel) ready for CRM platforms and sales workflows. #### Input Parameters - `keywords` (string, default: `"Data Engineer"`): Job title or search phrase. - `location` (string, default: `"United States"`): Target search region. - `maxJobs` (integer, default: `50`): Maximum jobs count. - `publishedWithin` (string, default: `"any"`): Time-posted filters (`any`, `24h`, `week`, `month`). --- ### 💸 Pricing (Precificação) * **Job Listing Scraped**: **$0.02 USD** per successful job listing added to dataset (`job-scraped` event). * **Owner Bypass**: Portfolio managers bypass charging. --- ### 📊 Output Example (Exemplo de Saída) ```json [ { "jobId": "4129381023", "title": "Senior Data Engineer", "company": "Tech Innovations Inc.", "location": "Boston, MA", "url": "https://www.linkedin.com/jobs/view/senior-data-engineer-at-tech-innovations-4129381023", "datePosted": "2026-05-24T00:00:00.000Z", "scrapedAt": "2026-05-24T12:00:00.000Z" } ] ```` # Actor input Schema ## `keywords` (type: `string`): Job title or search keywords (e.g. 'Data Engineer', 'Product Manager', 'Node.js'). ## `location` (type: `string`): Location to search in (e.g. 'United States', 'Berlin', 'London', 'São Paulo'). ## `maxJobs` (type: `integer`): Maximum number of job listings to extract. ## `publishedWithin` (type: `string`): Filter jobs posted within a specific timeframe. ## `proxyConfiguration` (type: `object`): Apify Proxy options. Residential proxies are recommended for heavy bulk scraping. ## Actor input object example ```json { "keywords": "Data Engineer", "location": "United States", "maxJobs": 50, "publishedWithin": "any", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): Dataset of all results; each item follows the dataset schema. # 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 = { "keywords": "Data Engineer", "location": "United States", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("viralanalyzer/linkedin-jobs-multi-country").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 = { "keywords": "Data Engineer", "location": "United States", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("viralanalyzer/linkedin-jobs-multi-country").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 '{ "keywords": "Data Engineer", "location": "United States", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call viralanalyzer/linkedin-jobs-multi-country --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=viralanalyzer/linkedin-jobs-multi-country", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Jobs Scraper - Bulk Anonymous Job Extraction", "description": "Scrape LinkedIn job listings in bulk globally without any login, cookies, or account bans. High-performance, cost-efficient guest API extractor. Fully integrated with Pay-Per-Event (PPE) pricing ($0.02 per job).", "version": "1.0", "x-build-id": "70UTq1507KcsTOUrQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/viralanalyzer~linkedin-jobs-multi-country/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-viralanalyzer-linkedin-jobs-multi-country", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/viralanalyzer~linkedin-jobs-multi-country/runs": { "post": { "operationId": "runs-sync-viralanalyzer-linkedin-jobs-multi-country", "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/viralanalyzer~linkedin-jobs-multi-country/run-sync": { "post": { "operationId": "run-sync-viralanalyzer-linkedin-jobs-multi-country", "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": [ "keywords", "location" ], "properties": { "keywords": { "title": "Keywords / Job Title", "type": "string", "description": "Job title or search keywords (e.g. 'Data Engineer', 'Product Manager', 'Node.js').", "default": "Data Engineer" }, "location": { "title": "Location", "type": "string", "description": "Location to search in (e.g. 'United States', 'Berlin', 'London', 'São Paulo').", "default": "United States" }, "maxJobs": { "title": "Max Jobs to Extract", "minimum": 10, "maximum": 1000, "type": "integer", "description": "Maximum number of job listings to extract.", "default": 50 }, "publishedWithin": { "title": "Published Within", "enum": [ "any", "24h", "week", "month" ], "type": "string", "description": "Filter jobs posted within a specific timeframe.", "default": "any" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify Proxy options. Residential proxies are recommended for heavy bulk scraping.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```