# Linkedin Post Scraper (`oza-dev/linkedin-post-scraper`) Actor Scrape LinkedIn posts and updates from search results using advanced LinkedIn filters. Extract posts from any LinkedIn profile, page, or keyword search automatically. - **URL**: https://apify.com/oza-dev/linkedin-post-scraper.md - **Developed by:** [Oza Dev](https://apify.com/oza-dev) (community) - **Categories:** Social media, Jobs, Lead generation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $19.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 Post Search Scraper (Apify Actor) Ce scraper permet d'extraire des publications LinkedIn basées sur des mots-clés ou des URLs de recherche spécifiques. Il utilise l'authentification par cookies pour accéder aux résultats de recherche complets. ### Fonctionnalités - **Recherche par mots-clés** : Extrayez les posts correspondant à vos critères. - **Support des URLs de recherche** : Utilisez les filtres natifs de LinkedIn (date, auteur, etc.) et copiez l'URL. - **Extraction de contenu** : Récupère le texte du post et le nom de l'auteur. - **Gestion de la pagination** : Scrolle et navigue automatiquement pour atteindre la limite demandée. ### Paramètres d'entrée | Champ | Type | Description | |-------|------|-------------| | `cookie` | Array | Vos cookies LinkedIn au format JSON (obligatoire). | | `urls` | Array | Liste des URLs de recherche ou de profils à scraper. | | `limitPerSource` | Integer | Nombre maximum de posts par URL (défaut: 10). | | `proxy` | Object | Configuration du proxy (Résidentiel recommandé). | ### Comment obtenir les cookies 1. Installez l'extension **Cookie-Editor** sur Chrome. 2. Connectez-vous à LinkedIn. 3. Cliquez sur l'extension, choisissez **Export** puis **JSON**. 4. Collez le résultat dans le champ `cookie` de l'Actor. ### Sécurité L'utilisation de cookies comporte des risques pour votre compte. Il est fortement conseillé d'utiliser un **compte secondaire** et des **proxies résidentiels** situés dans le même pays que votre connexion habituelle. # Actor input Schema ## `cookie` (type: `array`): Paste your LinkedIn cookies in JSON format (exported via Cookie-Editor). ## `urls` (type: `array`): LinkedIn post search URLs or profile URLs. ## `limitPerSource` (type: `integer`): Maximum number of posts to scrape per URL. ## `deepScrape` (type: `boolean`): Get more information such as likes, comments etc. (Note: This may increase execution time). ## `proxy` (type: `object`): Select proxies to be used (Residential recommended). ## Actor input object example ```json { "cookie": [], "urls": [ "https://www.linkedin.com/search/results/content/?keywords=AI" ], "limitPerSource": 10, "deepScrape": true, "proxy": { "useApifyProxy": true } } ```` # 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 = { "cookie": [], "urls": [ "https://www.linkedin.com/search/results/content/?keywords=AI" ] }; // Run the Actor and wait for it to finish const run = await client.actor("oza-dev/linkedin-post-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 = { "cookie": [], "urls": ["https://www.linkedin.com/search/results/content/?keywords=AI"], } # Run the Actor and wait for it to finish run = client.actor("oza-dev/linkedin-post-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 '{ "cookie": [], "urls": [ "https://www.linkedin.com/search/results/content/?keywords=AI" ] }' | apify call oza-dev/linkedin-post-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=oza-dev/linkedin-post-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedin Post Scraper", "description": "Scrape LinkedIn posts and updates from search results using advanced LinkedIn filters. Extract posts from any LinkedIn profile, page, or keyword search automatically.", "version": "0.1", "x-build-id": "BaFQnSgOcPMXJFhvL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/oza-dev~linkedin-post-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-oza-dev-linkedin-post-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/oza-dev~linkedin-post-scraper/runs": { "post": { "operationId": "runs-sync-oza-dev-linkedin-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/oza-dev~linkedin-post-scraper/run-sync": { "post": { "operationId": "run-sync-oza-dev-linkedin-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "cookie", "urls" ], "properties": { "cookie": { "title": "Cookies (JSON)", "type": "array", "description": "Paste your LinkedIn cookies in JSON format (exported via Cookie-Editor)." }, "urls": { "title": "Source URLs", "type": "array", "description": "LinkedIn post search URLs or profile URLs.", "items": { "type": "string" } }, "limitPerSource": { "title": "Limit per source", "minimum": 1, "type": "integer", "description": "Maximum number of posts to scrape per URL.", "default": 10 }, "deepScrape": { "title": "Deep Scrape", "type": "boolean", "description": "Get more information such as likes, comments etc. (Note: This may increase execution time).", "default": true }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used (Residential recommended).", "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 } } } } } } } } } } ```