To use LinkedIn social features in OpenClaw, run `clawhub install linkedin` in your terminal, configure your LinkedIn credentials in OpenClaw, and start browsing your feed, engaging with posts, and managing your LinkedIn presence through natural language prompts in OpenClaw chat. This skill provides conversational LinkedIn interaction — no REST API knowledge required.
Manage Your LinkedIn Presence Through Natural Language in OpenClaw
The LinkedIn skill brings your LinkedIn social experience into OpenClaw chat as a natural language interface. Instead of opening a browser, navigating to LinkedIn, and scrolling through your feed, you ask OpenClaw to 'show me what's trending in my LinkedIn feed about AI' or 'find posts from founders about fundraising this week'. The skill handles the LinkedIn navigation behind the scenes and returns a curated, readable summary of what it found.
This natural language approach is especially useful for professionals who use LinkedIn for business intelligence — tracking competitor activity, monitoring industry conversations, finding relevant content to engage with, and keeping their network presence active. Rather than spending 20 minutes on LinkedIn manually, you can brief OpenClaw on what you want in a few sentences and get a structured summary of the relevant activity.
The LinkedIn social skill is designed for conversational interaction and social engagement — it works at the level of posts, comments, likes, and profile browsing. For operations that require direct API access — such as programmatic posting workflows, engagement analytics retrieval, or integrating LinkedIn data into external systems — use the LinkedIn API skill instead. The two skills serve different needs: LinkedIn is for social media management through conversation, LinkedIn API is for developer-level programmatic access. Many users benefit from having both installed, using LinkedIn for daily browsing and engagement and LinkedIn API for automated publishing pipelines.
Integration method
LinkedIn is available as a native ClawHub skill, installed with a single `clawhub install` command and running entirely inside OpenClaw. The skill provides a natural language interface to LinkedIn's social features — you describe what you want to do in plain English and the skill handles the LinkedIn interaction. Browse your feed, find posts about specific topics, like and comment on content, and check profile information — all from OpenClaw chat.
Prerequisites
- OpenClaw installed and running (see openclaw.ai for installation instructions)
- ClawHub CLI available in your terminal (comes bundled with OpenClaw)
- A LinkedIn account with login credentials
- Terminal/command line access to run the clawhub install command
- LinkedIn account in good standing — the skill authenticates as your account and LinkedIn may flag unusual activity patterns
Step-by-step guide
Install the LinkedIn Skill via ClawHub
Install the LinkedIn Skill via ClawHub
Open your terminal and run the clawhub install command to add the linkedin skill to your OpenClaw instance. ClawHub downloads the skill package from the registry and registers it with your local OpenClaw configuration. The skill requires LinkedIn credentials to authenticate, which you will configure in the next step. After installation, run `clawhub info linkedin` to see the required configuration and supported interaction types for your installed version. The skill needs at minimum your LinkedIn account credentials (or an access token) to authenticate and browse LinkedIn on your behalf. If you also plan to use the LinkedIn API skill for programmatic operations, install both — they complement each other and use separate authentication configurations.
1clawhub install linkedinPro tip: Run `clawhub info linkedin` after installation to see what authentication method your installed version uses. Some versions use username/password credentials, others use an OAuth access token. The info command clarifies which environment variables to configure.
Expected result: Terminal shows 'linkedin@X.X.X installed successfully' with a list of required configuration keys. The skill appears in `clawhub list`.
Configure LinkedIn Credentials in OpenClaw
Configure LinkedIn Credentials in OpenClaw
The LinkedIn social skill authenticates as your LinkedIn account to browse and interact with the platform. Depending on the skill version installed, authentication uses either username/password credentials or an OAuth access token. For username/password authentication: set your LinkedIn email address and password as environment variables in your OpenClaw config. Note that LinkedIn may require two-factor authentication verification on first login — the skill will prompt you through this if needed. For OAuth token authentication: follow the same process as the LinkedIn API skill to generate an access token from developer.linkedin.com. The social skill uses the same token format. After configuring credentials, run `clawhub reload` to apply the configuration. The skill validates credentials on first use and will report authentication errors clearly if the credentials are incorrect or if LinkedIn requires additional verification. Keep your LinkedIn credentials in OpenClaw's config system only — never paste them into chat prompts or commit them to version control.
1# Option A: Username/password authentication2clawhub config set LINKEDIN_EMAIL your.email@example.com3clawhub config set LINKEDIN_PASSWORD your-password-here45# Option B: OAuth access token (same as LinkedIn API skill)6clawhub config set LINKEDIN_ACCESS_TOKEN AQX-your-token-here78# Verify configuration9clawhub config get LINKEDIN_EMAIL1011# Reload config12clawhub reloadPro tip: If your LinkedIn account has two-factor authentication enabled (recommended for security), the skill may require a one-time verification on first login. Follow the prompts in the terminal to complete verification — this typically only happens once per session or device.
Expected result: Running `clawhub config get LINKEDIN_EMAIL` returns your email masked. OpenClaw confirms the linkedin skill is active and authenticated.
Browse Your LinkedIn Feed from OpenClaw Chat
Browse Your LinkedIn Feed from OpenClaw Chat
Open OpenClaw chat and ask LinkedIn social questions using natural language. The skill handles the LinkedIn browsing behind the scenes and returns relevant results in a readable format. You do not need to know which API endpoint to call or how to structure a query — just describe what you want. For feed browsing, the skill retrieves your LinkedIn home feed and filters or summarizes the content based on your instructions. You can ask for the most popular posts, posts from specific people, posts about specific topics, or posts from the last N hours. The skill can also engage with content on your behalf — liking a post, adding a comment, or resharing content you find valuable. Before using engagement features, verify that your account credentials have the required permissions for write operations. For your first test, start with a read-only feed query to verify the skill is correctly authenticated and returning your personal feed data before testing engagement features.
Check my LinkedIn feed and tell me the 5 most interesting posts from the last 12 hours. Focus on posts related to AI and startup fundraising. For each post, include the author, a one-sentence summary, and the engagement count.
Paste this in OpenClaw chat
Pro tip: Start with read-only requests (browsing, searching) before testing write operations (liking, commenting, posting). This lets you verify the authentication is correct without the risk of accidental engagement actions.
Expected result: OpenClaw returns a curated list of LinkedIn posts from your feed matching your request criteria, with author names, post summaries, and engagement data.
Search LinkedIn and Engage with Relevant Content
Search LinkedIn and Engage with Relevant Content
Beyond browsing your personal feed, the LinkedIn skill can search the broader LinkedIn platform for posts, people, and company pages matching specific criteria. This is useful for competitive research, finding potential connections, discovering relevant content outside your immediate network, and monitoring specific topics or keywords. For engagement management, you can ask OpenClaw to help you build a queue of posts worth engaging with, draft comments for specific posts (returning the drafts for your review before posting), or identify which connections' posts you have been neglecting to engage with. RapidDev can help configure systematic LinkedIn engagement workflows that combine the LinkedIn skill with AI content generation tools — for example, using OpenClaw to identify high-value posts each morning and draft engagement comments that you review and approve before they are posted. Use LinkedIn social interaction thoughtfully — authentic engagement adds value to your network, while bulk or automated engagement can harm your professional reputation and violate LinkedIn's terms of service.
Search LinkedIn for posts from the last week about 'B2B SaaS pricing strategies'. Find 3 posts with active discussion threads where I could add a useful perspective based on my background in product management. For each post, draft a 2-sentence comment I could add.
Paste this in OpenClaw chat
Pro tip: Always review AI-drafted LinkedIn comments before posting them. The skill can draft thoughtful comments based on your brief, but you should verify the tone, accuracy, and relevance before they appear under your name on LinkedIn.
Expected result: OpenClaw finds relevant LinkedIn posts matching your search criteria and returns draft comments suitable for your engagement goal — ready for your review before any action is taken.
Common use cases
Daily LinkedIn Feed Briefing
Get a curated summary of your LinkedIn feed without spending 20 minutes scrolling. Ask OpenClaw to filter your feed by topic, connection type, or recency and give you a structured briefing of the most relevant posts — covering key announcements, trending conversations, and content from your most important connections.
Check my LinkedIn feed and give me a briefing of the most interesting posts from the last 24 hours. Focus on posts about AI, venture capital, and product launches. Summarize each post in one sentence and tell me which ones are worth engaging with.
Copy this prompt to try it in OpenClaw
Competitive and Industry Monitoring
Search LinkedIn for posts, articles, and updates from specific companies, people, or about specific topics to monitor competitive activity and industry trends. Get OpenClaw to summarize what competitors are posting, what new hires they are announcing, and what products or features they are discussing — without manually visiting each profile.
Search LinkedIn for posts published this week by people at OpenAI, Anthropic, and Google DeepMind about product announcements or research releases. Summarize what each company is communicating publicly.
Copy this prompt to try it in OpenClaw
Engagement Queue Management
Ask OpenClaw to find LinkedIn posts from your network or about specific topics that are worth engaging with — posts with active comment threads, posts from key connections that you should respond to, or posts in your niche that would benefit from your perspective. Get a list with engagement recommendations so you can focus your LinkedIn activity on the highest-value interactions.
Find 5 posts in my LinkedIn feed from the last 48 hours that would benefit from a thoughtful comment from someone with a background in B2B SaaS. For each post, suggest what angle I could contribute to the discussion.
Copy this prompt to try it in OpenClaw
Troubleshooting
LinkedIn skill returns authentication error or 'login failed' when first using after installation
Cause: LinkedIn credentials (email/password or access token) are not set in OpenClaw config, are set under wrong variable names, or LinkedIn is requiring additional verification (2FA, CAPTCHA, suspicious login alert).
Solution: Run `clawhub config get LINKEDIN_EMAIL` to verify credentials are stored. If missing, re-run the config set commands. If credentials are correct but login still fails, LinkedIn may have flagged the login as unusual — check your LinkedIn account for security alerts and complete any required verification.
1# Check credentials are stored2clawhub config get LINKEDIN_EMAIL3clawhub config get LINKEDIN_ACCESS_TOKEN45# Re-set if missing6clawhub config set LINKEDIN_EMAIL your.email@example.com7clawhub reloadclawhub install linkedin fails with '429 Too Many Requests' or connection timeout
Cause: The ClawHub skill registry is experiencing temporary rate limiting.
Solution: Wait 2-3 minutes and retry. Use `clawhub install linkedin --force` to clear partial installation state if needed.
1clawhub install linkedin --forceLinkedIn feed browsing returns old or irrelevant content that does not match my actual feed
Cause: The skill may be retrieving cached feed data or the authentication session has expired, causing the skill to return generic public content rather than your personalized feed.
Solution: Ask OpenClaw to 'refresh the LinkedIn session' or run `clawhub reload` to force a fresh authentication. If the problem persists, try clearing the skill's cached data with `clawhub config delete linkedin.session_cache`.
1# Force session refresh2clawhub reload34# Clear cached session data if available5clawhub config delete linkedin.session_cacheLinkedIn skill can browse but cannot post or comment — permission error on write operations
Cause: The OAuth token or session does not have write permissions, or the specific LinkedIn account type does not support programmatic write operations through this authentication method.
Solution: For OAuth token authentication, ensure your token includes the `w_member_social` scope. For username/password authentication, verify the account has not been restricted by LinkedIn. Check `clawhub info linkedin` for which authentication method supports write operations in your installed version.
1# Check token scopes at developer.linkedin.com2# Regenerate with w_member_social scope if write permissions are neededBest practices
- Use read-only feed browsing and search features more heavily than engagement automation — authentic human engagement is more valuable on LinkedIn than automated likes and comments, and excessive automation can violate LinkedIn's terms of service.
- Always review AI-drafted LinkedIn comments before posting them — even well-crafted drafts should be reviewed for tone, accuracy, and whether they represent your authentic voice.
- Keep LinkedIn credentials (email/password or access token) in the OpenClaw .env file or skill config only — never in chat prompts or version-controlled files.
- Use the LinkedIn skill for daily briefings and research rather than trying to automate all engagement — the goal is to make your LinkedIn time more efficient, not to replace it entirely with automation.
- Combine LinkedIn feed briefings with the summarize skill for more structured daily intelligence: ask LinkedIn to retrieve relevant posts, then ask summarize to produce a structured digest organized by topic.
- For competitive monitoring, create a list of key company pages and people to check weekly — ask OpenClaw to check each one for new posts and summarize the activity in a single briefing.
- Set a regular cadence for your LinkedIn engagement workflow rather than using it sporadically — consistency in LinkedIn activity (even at low volume) is more effective for network building than bursts of high activity.
- If you encounter unexpected behavior or errors, check LinkedIn's developer status page — LinkedIn occasionally has platform issues that cause API and automation tools to behave unpredictably regardless of configuration correctness.
Alternatives
LinkedIn API provides direct REST API access for programmatic operations, analytics retrieval, and developer integrations — better than the social skill when you need precise API control or are building automated content pipelines.
X/Twitter provides natural language interaction with X/Twitter — the LinkedIn counterpart for managing your X social presence from OpenClaw.
Postiz handles scheduled cross-platform posting including LinkedIn — better when you want a content calendar and scheduling queue rather than conversational feed browsing.
Upload Post handles immediate one-off publishing to social platforms — simpler than the full LinkedIn social skill when you just need to publish a specific post quickly.
Frequently asked questions
How do I install the LinkedIn skill in OpenClaw?
Run `clawhub install linkedin` in your terminal. Then configure your LinkedIn credentials with `clawhub config set LINKEDIN_EMAIL your.email@example.com` and `clawhub config set LINKEDIN_PASSWORD your-password`. Run `clawhub reload` and the skill is ready for natural language LinkedIn interaction in OpenClaw chat.
What can I do with the LinkedIn skill in OpenClaw?
With the LinkedIn skill, you can browse your personal LinkedIn feed, search for posts by topic or author, find relevant content to engage with, get briefings on what specific connections or companies are posting, draft and post comments and updates, and conduct competitive research — all through natural language prompts in OpenClaw chat.
What is the difference between the LinkedIn skill and the LinkedIn API skill in OpenClaw?
The LinkedIn social skill provides natural language interaction with LinkedIn — you describe what you want in plain English and the skill handles it. The LinkedIn API skill gives you direct REST API access via an access token — more technical, more precise, and better for programmatic workflows and analytics. Most users benefit from both: LinkedIn social for daily browsing and engagement, LinkedIn API for automated publishing and data pipelines.
ClawHub install linkedin is not working — what should I do?
Confirm the exact skill name: `linkedin` (no hyphens or suffixes). If the install fails with a timeout, wait a few minutes and retry — ClawHub's registry occasionally experiences brief rate limits. Run `clawhub install linkedin --force` to clear any partial installation state before retrying.
Will using the LinkedIn skill violate LinkedIn's terms of service?
LinkedIn's terms of service restrict automated scraping and bulk actions. Using the skill for personal productivity — browsing your feed, drafting content, conducting research — is generally within acceptable use. High-volume automated engagement (bulk liking, automated mass commenting) violates LinkedIn's terms. Use the skill to augment your own engagement rather than replace it entirely with automation, and keep operations within personal account usage patterns.
Does RapidDev offer help building LinkedIn management workflows in OpenClaw?
Yes — RapidDev can help configure LinkedIn monitoring and engagement workflows that combine the LinkedIn skill with AI content generation tools for thoughtful, efficient LinkedIn presence management. The individual setup on this page covers self-serve configuration. Founders and professionals wanting systematic LinkedIn workflows can contact RapidDev for a configuration review.
Can the LinkedIn skill search for LinkedIn content outside my personal network?
Yes — the skill can search the broader LinkedIn platform for posts, people, and company pages beyond your immediate connections. Search results reflect LinkedIn's algorithm and your account's visibility tier. For competitive research and industry monitoring, searching outside your network is one of the most valuable features of this skill.
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