# Linkedin Profile Scraper (`parseforge/linkedin-profile-scraper`) Actor Collect detailed LinkedIn profile data by URL in one place. Get clear records with full name, work experience, education, skills, certifications, languages, volunteer work, publications, projects, connections count, and profile images to support recruiters, sales teams and market research workflows. - **URL**: https://apify.com/parseforge/linkedin-profile-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Lead generation, Jobs, Automation - **Stats:** 71 total users, 19 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $7.37 / 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## ๐Ÿ’ผ LinkedIn Profile Scraper > ๐Ÿš€ **Collect public LinkedIn profile data in minutes.** Paste profile URLs and export names, headlines, experience, education, skills, and connections. No coding, no LinkedIn login required. > ๐Ÿ•’ **Last updated:** 2026-04-23 ยท **๐Ÿ“Š 25+ fields** per profile ยท **๐Ÿ”— URL-based input** ยท **๐Ÿ‘ค Public profiles** ยท **๐Ÿšซ No login** required The **LinkedIn Profile Scraper** collects public profile data from LinkedIn, returning **25+ fields per profile**: name, headline, current position, company, location, summary, experience history, education, skills, certifications, and profile URL. Paste one or more LinkedIn profile URLs and get structured data back. No LinkedIn login, no Sales Navigator subscription, no API credentials. The Actor reads publicly visible profile data that any visitor can see. | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | Recruiters, HR teams, sales teams, market researchers, talent analysts, competitive intelligence | Candidate research, talent mapping, lead enrichment, competitive staffing analysis, profile verification | --- ### ๐Ÿ“‹ What the LinkedIn Profile Scraper does - ๐Ÿ”— **URL input.** Paste one or more LinkedIn profile URLs. - ๐Ÿ‘ค **Full profile data.** Name, headline, experience, education, skills. - ๐Ÿข **Company data.** Current and previous employers per profile. - ๐Ÿ“‹ **Certifications and skills.** Structured arrays per profile. Each profile record includes name, headline, location, summary, current position, company, experience history (title, company, dates), education (school, degree, dates), skills, certifications, and profile URL. > ๐Ÿ’ก **Why it matters:** manually copying LinkedIn profile data means clicking into each profile and transcribing information. This Actor exports structured profile data in bulk for your CRM, ATS, or research database. --- ### ๐ŸŽฌ Full Demo _๐Ÿšง Coming soon: a 3-minute walkthrough._ --- ### โš™๏ธ Input
InputTypeDefaultBehavior
profileUrlsarray[]LinkedIn profile URLs.
proxyConfigurationobjectApify residentialResidential proxies recommended.
**Example: scrape 3 profiles.** ```json { "profileUrls": [ "https://www.linkedin.com/in/satya-nadella/", "https://www.linkedin.com/in/jeffweiner08/", "https://www.linkedin.com/in/reidhoffman/" ] } ```` > โš ๏ธ **Good to Know:** residential proxies are recommended. LinkedIn rate-limits datacenter IPs. The Actor reads only publicly visible profile data. *** ### ๐Ÿ“Š Output Each profile record contains **25+ fields**. Download the dataset as CSV, Excel, JSON, or XML. #### ๐Ÿงพ Schema | Field | Type | Example | |---|---|---| | ๐Ÿ–ผ๏ธ profilePicUrl | string | `"https://media.licdn.com/..."` | | ๐Ÿ‘ค name | string | `"Satya Nadella"` | | ๐Ÿท๏ธ headline | string | `"Chairman and CEO at Microsoft"` | | ๐Ÿ“ location | string | `"Redmond, Washington"` | | ๐Ÿ“ summary | string | `"..."` | | ๐Ÿข currentCompany | string | `"Microsoft"` | | ๐Ÿท๏ธ currentTitle | string | `"Chairman and CEO"` | | ๐Ÿ’ผ experience | array | `[{ title, company, startDate, endDate }]` | | ๐ŸŽ“ education | array | `[{ school, degree, field, dates }]` | | ๐Ÿ› ๏ธ skills | array | `["Cloud Computing", "Strategy"]` | | ๐Ÿ“œ certifications | array | `[]` | | ๐Ÿ‘ฅ connections | string | `"500+"` | | ๐Ÿ”— profileUrl | string | `"https://www.linkedin.com/in/satya-nadella/"` | | ๐Ÿ•’ scrapedAt | ISO 8601 | `"2026-04-16T00:00:00.000Z"` | #### ๐Ÿ“ฆ Sample records
๐Ÿ‘ค CEO profile with full data ```json { "profilePicUrl": "https://media.licdn.com/satya.jpg", "name": "Satya Nadella", "headline": "Chairman and CEO at Microsoft", "location": "Redmond, Washington", "summary": "As chairman and CEO of Microsoft, I define my mission...", "currentCompany": "Microsoft", "currentTitle": "Chairman and CEO", "experience": [ { "title": "Chairman and CEO", "company": "Microsoft", "startDate": "2014", "endDate": null }, { "title": "EVP, Cloud and Enterprise", "company": "Microsoft", "startDate": "2011", "endDate": "2014" } ], "education": [ { "school": "University of Chicago", "degree": "MBA", "field": "Finance", "dates": "1997" } ], "skills": ["Cloud Computing", "Strategy", "Enterprise Software"], "certifications": [], "connections": "500+", "profileUrl": "https://www.linkedin.com/in/satya-nadella/", "scrapedAt": "2026-04-16T00:00:00.000Z" } ```
๐ŸŽ“ Startup founder with education focus ```json { "profilePicUrl": "https://media.licdn.com/founder.jpg", "name": "Jane Startup", "headline": "Co-founder at TechStartup", "location": "San Francisco, CA", "summary": null, "currentCompany": "TechStartup", "currentTitle": "Co-founder", "experience": [ { "title": "Co-founder", "company": "TechStartup", "startDate": "2023", "endDate": null } ], "education": [ { "school": "Stanford University", "degree": "BS", "field": "Computer Science", "dates": "2019-2023" } ], "skills": ["Python", "Machine Learning"], "certifications": [], "connections": "500+", "profileUrl": "https://www.linkedin.com/in/jane-startup/", "scrapedAt": "2026-04-16T00:00:05.000Z" } ```
๐Ÿ“‹ Sparse profile ```json { "profilePicUrl": null, "name": "John Doe", "headline": "Software Developer", "location": "New York, NY", "summary": null, "currentCompany": null, "currentTitle": "Software Developer", "experience": [], "education": [], "skills": [], "certifications": [], "connections": "127", "profileUrl": "https://www.linkedin.com/in/john-doe-12345/", "scrapedAt": "2026-04-16T00:00:10.000Z" } ```
*** ### โœจ Why choose this Actor | | Capability | |---|---| | ๐Ÿ‘ค | **Full profile data.** Name, headline, experience, education, skills, certifications. | | ๐Ÿ’ผ | **Work history.** Current and previous positions with dates. | | ๐ŸŽ“ | **Education.** Schools, degrees, and fields of study. | | ๐Ÿ› ๏ธ | **Skills array.** Structured skill list per profile. | | ๐Ÿ“ฆ | **Batch processing.** Multiple profile URLs per run. | | โšก | **Fast.** Profile data in seconds per URL. | | ๐Ÿšซ | **No login.** Reads publicly visible data only. | > ๐Ÿ“Š LinkedIn has over 1 billion members worldwide. Structured access to public profile data powers every recruiting, sales prospecting, and talent analysis workflow. *** ### ๐Ÿ“ˆ How it compares to alternatives | Approach | Cost | Coverage | Batch | Experience data | Setup | |---|---|---|---|---|---| | **โญ LinkedIn Profile Scraper** *(this Actor)* | $5 free credit, then pay-per-use | Any public profile | Yes | Yes | โšก 2 min | | LinkedIn Sales Navigator | $99+/month | Full profiles | Export limited | Yes | โณ Hours | | LinkedIn API (partner) | Paid, partner-only | Restricted | Yes | Limited | ๐Ÿข Weeks | | Manual browsing | Free | One at a time | No | Yes | ๐Ÿ•’ Per profile | Pick this Actor when you want LinkedIn profile data on demand, without Sales Navigator or partner API access. *** ### ๐Ÿš€ How to use 1. ๐Ÿ“ **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes). 2. ๐ŸŒ **Open the Actor.** Go to the LinkedIn Profile Scraper page on the Apify Store. 3. ๐ŸŽฏ **Set input.** Paste LinkedIn profile URLs. 4. ๐Ÿš€ **Run it.** Click **Start** and let the Actor collect profile data. 5. ๐Ÿ“ฅ **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML. > โฑ๏ธ Total time from signup to downloaded profiles: **3-5 minutes.** No coding required. *** ### ๐Ÿ’ผ Business use cases
#### ๐Ÿข Recruiting & Talent - Research candidate backgrounds - Verify employment history - Map talent pools by skill - Build candidate comparison reports #### ๐Ÿ“ˆ Sales & BD - Enrich lead profiles with work history - Research prospect backgrounds - Build personalized outreach - Map decision-maker org charts
#### ๐Ÿ“Š Market Research - Track executive movements - Study skill trends by industry - Analyze career path patterns - Build talent market databases #### โš–๏ธ Due Diligence - Verify background claims - Research team composition - Track founder experience - Build investor due diligence reports
*** *** ### ๐ŸŒŸ Beyond business use cases Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.
#### ๐ŸŽ“ Research and academia - Empirical datasets for papers, thesis work, and coursework - Longitudinal studies tracking changes across snapshots - Reproducible research with cited, versioned data pulls - Classroom exercises on data analysis and ethical scraping #### ๐ŸŽจ Personal and creative - Side projects, portfolio demos, and indie app launches - Data visualizations, dashboards, and infographics - Content research for bloggers, YouTubers, and podcasters - Hobbyist collections and personal trackers
#### ๐Ÿค Non-profit and civic - Transparency reporting and accountability projects - Advocacy campaigns backed by public-interest data - Community-run databases for local issues - Investigative journalism on public records #### ๐Ÿงช Experimentation - Prototype AI and machine-learning pipelines with real data - Validate product-market hypotheses before engineering spend - Train small domain-specific models on niche corpora - Test dashboard concepts with live input
### ๐Ÿค– Ask an AI assistant about this scraper Open a ready-to-send prompt about this ParseForge actor in the AI of your choice: - ๐Ÿ’ฌ [**ChatGPT**](https://chat.openai.com/?q=How%20do%20I%20use%20the%20Linkedin%20Profile%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿง  [**Claude**](https://claude.ai/new?q=How%20do%20I%20use%20the%20Linkedin%20Profile%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿ” [**Perplexity**](https://perplexity.ai/search?q=How%20do%20I%20use%20the%20Linkedin%20Profile%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿ…’ [**Copilot**](https://copilot.microsoft.com/?q=How%20do%20I%20use%20the%20Linkedin%20Profile%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) ### โ“ Frequently Asked Questions
๐Ÿ’ณ Do I need a paid Apify plan to run this actor? No. You can start right now on the free Apify plan, which includes **$5 in free monthly credit**. That is enough to run this actor several times and explore the output before committing to anything. Paid plans unlock higher limits, more concurrent runs, and larger datasets. [Create a free Apify account here](https://console.apify.com/sign-up?fpr=vmoqkp) to get started.
๐Ÿšจ What happens if my run fails or returns no results? Failed runs are not charged. If the source site changes, proxies get rate-limited, or a specific input matches nothing, re-run the actor or open our [contact form](https://tally.so/r/BzdKgA) and we will investigate. You can also check the run log in the Apify console to see why the run stopped.
๐Ÿ“ How many items can I scrape per run? Free users are limited to **10 items per run** so you can preview the output and confirm the actor works for your use case. Paid users can raise maxItems up to **1,000,000** per run. [Upgrade here](https://console.apify.com/sign-up?fpr=vmoqkp) if you need full scale.
๐Ÿ•’ How fresh is the data? Every run fetches live data at the moment of execution. There is no cache or delay: the records you get reflect what the source returned at that moment. Schedule the actor to maintain a rolling snapshot of the data you need.
๐Ÿง‘โ€๐Ÿ’ป Can I call this actor from my own code? Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for [Node.js](https://docs.apify.com/sdk/js) and [Python](https://docs.apify.com/sdk/python). You can start a run, read the dataset, and handle webhooks from your own app in a few lines. All you need is your Apify API token.
๐Ÿ“ค How do I export the data? Every Apify dataset can be downloaded in one click from the console as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the [Apify API](https://docs.apify.com/api/v2) or stream them into BigQuery, S3, and other destinations through built-in integrations.
๐Ÿ“… Can I schedule the actor to run automatically? Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make. ***
### ๐Ÿ”Œ Automating LinkedIn Profile Scraper Control the scraper programmatically for scheduled runs and pipeline integrations: - ๐ŸŸข **Node.js.** Install the apify-client NPM package. - ๐Ÿ **Python.** Use the apify-client PyPI package. - ๐Ÿ“š See the [Apify API documentation](https://docs.apify.com/api/v2) for full details. ### ๐Ÿ”Œ Integrate with any app LinkedIn Profile Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations): - [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows - [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps - [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications - [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe profile data into your warehouse - [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits - [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets *** ### ๐Ÿ”— Recommended Actors - [**๐Ÿ’ผ LinkedIn Jobs Scraper**](https://apify.com/parseforge/linkedin-jobs-scraper) - Job listings with salary data - [**๐Ÿ“„ CV Optimizer**](https://apify.com/parseforge/cv-optimizer) - Resume optimization - [**๐Ÿ“‹ Lead Formatter**](https://apify.com/parseforge/lead-formatter) - Lead list cleaning - [**๐Ÿ” SEEK Job Scraper**](https://apify.com/parseforge/seek-scraper) - Australian job listings - [**๐Ÿ“ข Facebook Ads Library Scraper**](https://apify.com/parseforge/facebook-ads-library-scraper) - Ad intelligence > ๐Ÿ’ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more professional and recruitment scrapers. *** **๐Ÿ†˜ Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) to request a new scraper, propose a custom data project, or report an issue. *** > **โš ๏ธ Disclaimer:** this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation or Microsoft. All trademarks mentioned are the property of their respective owners. Only publicly visible profile data is collected. # Actor input Schema ## `profileUrls` (type: `array`): List of LinkedIn profile URLs to scrape (e.g., https://www.linkedin.com/in/williamhgates) ## `proxyConfiguration` (type: `object`): Proxy settings for reliable access. Residential proxies are required for LinkedIn. ## Actor input object example ```json { "profileUrls": [ "https://www.linkedin.com/in/williamhgates", "https://www.linkedin.com/in/reidhoffman" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `overview` (type: `string`): Quick view with the most relevant fields. # 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 = { "profileUrls": [ "https://www.linkedin.com/in/williamhgates", "https://www.linkedin.com/in/reidhoffman" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/linkedin-profile-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "profileUrls": [ "https://www.linkedin.com/in/williamhgates", "https://www.linkedin.com/in/reidhoffman", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("parseforge/linkedin-profile-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "profileUrls": [ "https://www.linkedin.com/in/williamhgates", "https://www.linkedin.com/in/reidhoffman" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call parseforge/linkedin-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/linkedin-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedin Profile Scraper", "description": "Collect detailed LinkedIn profile data by URL in one place. Get clear records with full name, work experience, education, skills, certifications, languages, volunteer work, publications, projects, connections count, and profile images to support recruiters, sales teams and market research workflows.", "version": "1.0", "x-build-id": "rS7rIkkeZuZIQkIvg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~linkedin-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-linkedin-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~linkedin-profile-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~linkedin-profile-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "profileUrls" ], "properties": { "profileUrls": { "title": "Profile URLs", "type": "array", "description": "List of LinkedIn profile URLs to scrape (e.g., https://www.linkedin.com/in/williamhgates)", "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for reliable access. Residential proxies are required for LinkedIn." } } }, "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 } } } } } } } } } } ```