Andrey
CEO of AnySite.io | Agent-first web scraping APIs for LinkedIn, Instagram, Twitter & Reddit. Try our n8n nodes for reliable, self-healing data extraction. DM for custom integrations.
Templates by Andrey
Automated LinkedIn lead generation, scoring & communication with AI-Agent
⚠️ DISCLAIMER: This workflow uses the AnySite LinkedIn community node, which is only available on self-hosted n8n instances. It will not work on n8n.cloud. Overview This workflow automates the entire LinkedIn lead generation process from finding prospects that match your Ideal Customer Profile (ICP) to sending personalized messages. It uses AI to analyze lead data, score potential clients, and prioritize your outreach efforts. Key Features AI-Driven Lead Generation: Convert ICP descriptions into LinkedIn search parameters Comprehensive Data Enrichment: Analyze company websites, LinkedIn posts, and news Intelligent Lead Scoring: Prioritize leads based on AI analysis of intent signals Automated Outreach: Connect with prospects and send personalized messages Requirements Self-hosted n8n instance with the AnySite LinkedIn community node installed OpenAI API access (for GPT-4o) Google Sheets access AnySite API key (available at anysite.io) LinkedIn account Setup Instructions Install Required Nodes Ensure the AnySite LinkedIn community node is installed on your n8n instance Command: npm install n8n-nodes-hdw (or use this instruction) Configure Credentials OpenAI: Add your OpenAI API key Google Sheets: Set up Google account access AnySite LinkedIn: Configure your API key from AnySite.io Set Up Google Sheet Create a new Google Sheet with the following columns (or copy template): Name, URN, URL, Headline, Location, Current company, Industry, etc. The workflow will populate these columns automatically Customize Your ICP Use chat to provide the AI Agent with your Ideal Customer Profile Example: "Target marketing directors at SaaS companies with 50-200 employees" Adjust Scoring Criteria Modify the lead scoring prompt in the "Company Score Analysis" node to match your specific product/service Tune the evaluation criteria based on your unique business needs Configure Message Templates Update the AnySite LinkedIn Send Message node with your custom message How It Works ICP Translation: AI converts your ICP description into LinkedIn search parameters Lead Discovery: Workflow searches LinkedIn using these parameters Data Collection: Results are saved to Google Sheets Enrichment: System collects additional data about each lead: Company website analysis Lead's LinkedIn posts Company's LinkedIn posts Recent company news Intent Analysis: AI analyzes all data to identify buying signals Lead Scoring: Leads are scored on a 1-10 scale based on likelihood of interest Connection Requests: Top-scoring leads receive connection requests Follow-Up: When connections are accepted, automated messages are sent Customization Search Parameters: Adjust the AI Agent prompt to refine your target audience Scoring Criteria: Modify scoring prompts to highlight indicators relevant to your product Message Content: Update message templates for personalized outreach Schedule: Configure when connection requests and messages are sent Rate Limits & Best Practices LinkedIn has connection request limits (approximately 100-200 per week) The workflow includes safeguards to avoid exceeding these limits Consider spacing your outreach for better response rates Note: Always use automation tools responsibly and in accordance with LinkedIn's terms of service.
By AndreyEnrich CRM contact data with LinkedIn profiles using GPT & multi-CRM support
⚠️ DISCLAIMER: This workflow uses the AnySite LinkedIn community node, which is only available on self-hosted n8n instances. It will not work on n8n.cloud. Overview This n8n workflow automates the enrichment of CRM contact data with professional insights from LinkedIn profiles. The workflow integrates with both Pipedrive and HubSpot CRMs, finding LinkedIn profiles that match your contacts and updating your CRM with valuable information about their professional background and recent activities. Key Features Multi-CRM Support: Works with both Pipedrive and HubSpot AI-Powered Data Enrichment: Uses an advanced AI agent to analyze and summarize professional information Automated Triggers: Activates when new contacts are added or when enrichment is requested Comprehensive Profile Analysis: Captures LinkedIn profile summaries and post activity How It Works Triggers The workflow activates in three scenarios: When a new contact is created in CRM When a contact is updated in CRM with an enrichment flag LinkedIn Data Collection Process Email Lookup: First tries to find the LinkedIn profile using the contact's email Advanced Search: If email lookup fails, uses name and company details to find potential matches Profile Analysis: Collects comprehensive profile information Post Analysis: Gathers and analyzes the contact's recent LinkedIn activity CRM Updates The workflow updates your CRM with: LinkedIn profile URL Professional summary (skills, experience, background) Analysis of recent LinkedIn posts and activity Setup Instructions Requirements Self-hosted n8n instance with the HDW LinkedIn community node installed API access to OpenAI (for GPT-4o) Pipedrive and/or HubSpot account AnySite API key https://AnySite.io Installation Steps Install the HDW LinkedIn Node: npm install n8n-nodes-hdw Follow the detailed instructions at: https://www.npmjs.com/package/n8n-nodes-hdw Configure Credentials: OpenAI: Add your OpenAI API key Pipedrive: Connect your Pipedrive account (if using) HubSpot: Connect your HubSpot account (if using) AnySite LinkedIn: Add your API key from https://AnySite.io CRM Custom Fields Setup: For Pipedrive: Go to Settings → Data Fields → Contact Fields → + Add Field Create the following custom fields: LinkedIn Profile: Field type - Large text Profile Summary: Field type - Large text LinkedIn Posts Summary: Field type - Large text Need Enrichment: Field type - Single option (Yes/No) Detailed instructions for creating custom fields in Pipedrive: https://support.pipedrive.com/en/article/custom-fields For HubSpot: Go to Settings → Properties → Create property Create the following properties for Contact object: linkedin_url: Field type - Single-line text profile_summary: Field type - Multi-line text linkedinpostssummary: Field type - Multi-line text need_enrichment: Field type - Checkbox (Boolean) Detailed instructions for creating properties in HubSpot: https://knowledge.hubspot.com/properties/create-and-edit-properties Import the Workflow: Import the "HDWCRMEnrichment.json" file into your n8n instance Activate Webhooks: Enable the webhook triggers for your CRM to ensure the workflow activates correctly Customization Options AI Agent Prompts You can modify the system prompts in the "Data Enrichment AI Agent" nodes to: Change the focus of profile analysis Adjust the tone and detail level of summaries Customize what information is extracted from posts CRM Field Mapping The workflow is pre-configured to update specific custom fields in Pipedrive and HubSpot. Update the field/property mappings in: "Update data in Pipedrive" nodes "Update data in HubSpot" node Troubleshooting Common Issues LinkedIn Profile Not Found: Check if the contact's email is their work email; consider adjusting the search parameters Webhook Not Triggering: Verify webhook configuration in your CRM Missing Custom Fields: Ensure all required custom fields are created in your CRM with correct names Rate Limits Be aware of LinkedIn API rate limits (managed by AnySite LinkedIn node) Consider implementing delays if processing large batches of contacts Best Practices Use enrichment flags to selectively update contacts rather than enriching all contacts Review and clean contact data in your CRM before enrichment Periodically review the AI-generated summaries to ensure quality and relevance
By AndreyCross-platform brand monitoring & analysis with AnySite API and GPT
Overview This n8n workflow automates brand monitoring across social media platforms (Reddit, LinkedIn, X, and Instagram) using the AnySite API. It searches posts mentioning your defined keywords, stores results in n8n Data Tables, analyzes engagement and sentiment, and generates a detailed AI-powered social media report automatically sent to your email. --- Key Features Multi-Platform Monitoring: Reddit, LinkedIn, X (Twitter), and Instagram Automated Post Collection: Searches for new posts containing tracked keywords Data Persistence: Saves all posts and comments in structured Data Tables AI-Powered Reporting: Uses GPT (OpenAI API) to summarize and analyze trends, engagement, and risks Automated Email Delivery: Sends comprehensive daily/weekly reports via Gmail Comment Extraction: Collects and formats post comments for deeper sentiment analysis Scheduling Support: Can be executed manually or automatically (e.g., every night) --- How It Works Triggers The workflow runs: Automatically (via Schedule Trigger) — e.g., once daily Manually (via Manual Trigger) — for testing or on-demand analysis Data Collection Process Keyword Loading: Reads all keywords from the Data Table “Brand Monitoring Words” Social Media Search: For each keyword, the workflow calls the AnySite API endpoints: api/reddit/search/posts api/linkedin/search/posts api/twitter/search/posts (X) api/instagram/search/posts Deduplication: Before saving, checks if a post already exists in the “Brand Monitoring Posts” table. Data Storage: Inserts new posts into the Data Table with fields like type, title, url, votecount, commentcount, etc. Comments Enrichment: For Reddit and LinkedIn, retrieves and formats comments into JSON strings, then updates the record. AI Analysis & Report Generation: The AI Agent (OpenAI GPT model) aggregates posts, analyzes sentiment, engagement, risks, and generates a structured HTML email report. Email Sending: Sends the final report via Gmail using your connected account. --- Setup Instructions Requirements Self-hosted or cloud n8n instance AnySite API key – https://AnySite.io OpenAI API key (GPT-4o or later) Connected Gmail account (for report delivery) --- Installation Steps Import the workflow Import the provided file: Social Media Monitoring.json Configure credentials AnySite API: Add access-token header with your API key OpenAI: Add your OpenAI API key in the “OpenAI Chat Model” node Gmail: Connect your Gmail account (OAuth2) in the “Send a message in Gmail” node Create required Data Tables --- 1️⃣ Brand Monitoring Words | Field | Type | Description | |-------|------|-------------| | word | string | Keyword or brand name to monitor | > Each row represents a single keyword to be tracked. --- 2️⃣ Brand Monitoring Posts | Field | Type | Description | |-------|------|-------------| | type | string | Platform type (e.g., reddit, linkedin, x, instagram) | | title | string | Post title or headline | | url | string | Direct link to post | | created_at | string | Post creation date/time | | subreddit_id | string | (Reddit only) subreddit ID | | subreddit_alias | string | (Reddit only) subreddit alias | | subreddit_url | string | (Reddit only) subreddit URL | | subreddit_description | string | (Reddit only) subreddit description | | comment_count | number | Number of comments | | vote_count | number | Votes, likes, or reactions count | | subredditmembercount | number | (Reddit only) member count | | post_id | string | Unique post identifier | | text | string | Post body text | | comments | string | Serialized comments (JSON string) | | word | string | Matched keyword that triggered capture | --- AI Reporting Logic Collects all posts gathered during the run Aggregates by keyword and platform Evaluates sentiment, engagement, and risk signals Summarizes findings with an executive summary and key metrics Sends the Social Media Intelligence Report to your configured email --- Customization Options Schedule: Adjust the trigger frequency (daily, hourly, etc.) Keywords: Add or remove keywords in the Brand Monitoring Words table Report Depth: Modify system prompts in the “AI Agent” node to customize tone and analysis focus Email Recipient: Change the target email address in the “Send a message in Gmail” node --- Troubleshooting | Issue | Solution | |-------|-----------| | No posts found | Check AnySite API key and keyword relevance | | Duplicate posts | Verify Data Table deduplication setup | | Report not sent | Confirm Gmail OAuth2 connection | | AI Agent error | Ensure OpenAI API key and model selection are correct | --- Best Practices Use specific brand or product names in keywords for better precision Run the workflow daily to maintain fresh insights Periodically review and clean Data Tables Adjust AI prompt parameters to refine analytical tone Review AI-generated reports to ensure data quality --- Author Notes Created for automated cross-platform brand reputation monitoring, enabling real-time insights into how your brand is discussed online.
By Andrey