Airtop
Airtop provides an intelligent browser automation API for AI agents, enabling seamless web interaction, including login, navigation, and data extraction from any site, even those with complex authentication - all with natural language instructions.In simple terms, we allow you to automate anything humans can do online, on any site with just words
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Automated LinkedIn profile discovery with Airtop and Google Search
About The LinkedIn Profile Discovery Automation Are you tired of manually searching for LinkedIn profiles or paying expensive data providers for often outdated information? If you spend countless hours trying to find accurate LinkedIn URLs for your prospects or candidates, this automation will change your workflow forever. Just give this workflow the information you have about a contact, and it will automatically augment it with a LinkedIn profile. How to find a LinkedIn Profile Link In this guide, you'll learn how to automate LinkedIn profile link discovery using Airtop's built-in node in n8n. Using this automation, you'll have a fully automated workflow that saves you hours of manual searching while providing accurate, validated LinkedIn URLs. What You'll Need A free Airtop API key A Google Workspace account. If you have a Gmail account, you’re all set Estimated setup time: 10 minutes Understanding the Process This automation leverages the power of intelligent search algorithms combined with LinkedIn validation to ensure accuracy. Here's how it works: Takes your input data (name, company, etc.) and constructs intelligent search queries Utilizes Google search to identify potential LinkedIn profile URLs Validates the discovered URLs directly against LinkedIn to ensure accuracy Returns confirmed, accurate LinkedIn profile URLs Setting Up Your Automation Getting started with this automation is straightforward: Prepare Your Google Sheet Create a new Google Sheet with columns for input data (name, company, domain, etc.) Add columns for the output LinkedIn URL and validation status (see this example) Configure the Automation Connect your Google Workspace account to n8n if you haven't already Add your Airtop API credentials (Optionally) Configure your Airtop Profile and sign-in to LinkedIn in order to validate profile URL's Run Your First Test Add a few test entries to your Google Sheet Run the workflow Check the results in your output columns Customization Options While the default setup uses Google Sheets, this automation is highly flexible: Webhook Integration: Perfect for integrating with tools like Clay, Instantly, or your custom applications Alternatives: Replace Google Sheets with Airtable, Notion, or any other tools you already use for more robust database capabilities Custom Output Formatting: Modify the output structure to match your existing systems Batch Processing: Configure for bulk processing of multiple profiles Real-World Applications This automation has the potential to transform how we organizations handle profile enrichment. Recruiting Firm Success Story With this automation, a recruiting firm could save hundreds of dollars a month in data enrichment fees, achieve better accuracy, and eliminate subscription costs. They would also be able to process thousands of profiles weekly with near-perfect accuracy. Sales Team Integration A B2B sales team could integrate this automation with their CRM, automatically enriching new leads with validated LinkedIn profiles and saving their SDRs hours per week on manual research. Best Practices To maximize the accuracy of your results: Always include company information (domain or company name) with your search queries Use full names rather than nicknames or initials when possible Consider including location data for more accurate results with common names Implement rate limiting to respect LinkedIn's usage guidelines Keep your input data clean and standardized for best results Use the integrated proxy to navigate more effectively through Google and LinkedIn What's Next? Now that you've automated LinkedIn profile discovery, consider exploring related automations: Automated lead scoring based on LinkedIn profile data Email finder automation using validated LinkedIn profiles Integration with your CRM for automated contact enrichment
By AirtopWeb site scraper for LLMs with Airtop
Recursive Web Scraping Use Case Automating web scraping with recursive depth is ideal for collecting content across multiple linked pages—perfect for content aggregation, lead generation, or research projects. What This Automation Does This automation reads a list of URLs from a Google Sheet, scrapes each page, stores the content in a document, and adds newly discovered links back to the sheet. It continues this process for a specified number of iterations based on the defined scraping depth. Input Parameters: Seed URL: The starting URL to begin the scraping process. Example: https://example.com/ Links must contain: Restricts the links to those that contain this specified string. Example: https://example.com/ Depth: The number of iterations (layers of links) to scrape beyond the initial set. Example: 3 How It Works Starts by reading the Seed URL from the Google Sheet. Scrapes each page and saves its content to the specified document. Extracts new links from each page that match the Links must contain string, appends them to the Google Sheet. Repeats steps 2–3 for the number of times specified by Depth - 1. Setup Requirements Airtop API Key — free to generate. Credentials set up for Google Docs (requires creating a project on Google Console). Read how to. Credentials set up for Google Spreadsheet. Next Steps Add Filtering Rules: Filter which links to follow based on domain, path, or content type. Combine with Scheduler: Run this automation on a schedule to continuously explore newly discovered pages. Export Structured Data: Extend the process to store extracted data in a CSV or database for analysis. Read more about website scraping for LLMS
By AirtopExtract and analyze Truth Social posts for stock market impact with Airtop & Slack
Trump-o-meter: Extract and Evaluate Truth Social Posts Use Case Automatically extracting posts from Donald Trump's Truth Social account and estimating their potential impact on the U.S. stock market enables teams to monitor high-profile communications that may influence financial markets. This automation streamlines intelligence gathering for analysts, traders, and policy observers. What This Automation Does This automation retrieves up to 3 posts from Donald Trump's Truth Social profile and outputs structured information including: Author name Image URL Post text Post URL Estimated stock market impact: Direction: positive, negative, or neutral Magnitude: None, Small, Medium, Large How It Works Creates a browser session on Truth Social using an Airtop profile. Navigates to https://truthsocial.com/@realDonaldTrump. Uses a natural language prompt with a defined JSON schema to extract structured data for up to 3 posts. Splits the results into individual post items. Filters posts that contain actual content and have a non-zero estimated market impact. Sends selected posts and impact summaries to a Slack channel. Terminates the browser session to clean up. Setup Requirements Airtop API Key — free to generate. An Airtop Profile that is connected and logged into Truth Social. A Slack workspace and authorized app with write permissions to a target channel. Next Steps Integrate with Trading Signals: Link output to financial alert systems or dashboards for timely insights. Expand Monitoring: Extend to other high-impact accounts (e.g., politicians, CEOs). Enhance Analysis: Add sentiment scoring or topic classification for deeper context. Legal Disclaimer This tool is intended solely for informational and analytical purposes. The market impact estimations provided are speculative and should not be construed as financial advice. Do not make investment decisions based on this automation. Always consult with a licensed financial advisor before making any trades. Read more about Trump-o-meter automation
By AirtopExtract Facebook group posts with Airtop
Extract Facebook Group Posts with Airtop Use Case Extracting content from Facebook Groups allows community managers, marketers, and researchers to gather insights, monitor discussions, and collect engagement metrics efficiently. This automation streamlines the process of retrieving non-sponsored post data from group feeds. What This Automation Does This automation extracts key post details from a Facebook Group feed using the following input parameters: Facebook Group URL: The URL of the Facebook Group feed you want to scrape. Airtop Profile: The name of your Airtop Profile authenticated to Facebook. It returns up to 5 non-sponsored posts with the following attributes for each: Post text Post URL Page/profile URL Timestamp Number of likes Number of shares Number of comments Page or profile details Post thumbnail How It Works Form Trigger: Collects the Facebook Group URL and Airtop Profile via a form. Browser Automation: Initiates a new browser session using Airtop. Navigates to the provided Facebook Group feed. Uses an AI prompt to extract post data, including interaction metrics and profile information. Structured Output: The results are returned in a defined JSON schema, ready for downstream use. Setup Requirements Airtop API Key — Free to generate. An Airtop Profile logged into Facebook. Next Steps Integrate With Analytics Tools: Feed the output into dashboards or analytics platforms to monitor community engagement. Automate Alerts: Trigger notifications for posts matching certain criteria (e.g., high engagement, keywords). Combine With Comment Automation: Extend this to reply to posts or engage with users using other Airtop automations. Let me know if you’d like this saved as a .md file or included in your Airtop automation library. Read more about how to extract posts from Facebook groups
By AirtopSell a used car with an AI agent in Airtop
How to Sell Your Used Car Easily with Airtop Selling a used car traditionally involves tedious manual steps: listing your vehicle online, filling repetitive forms, answering buyer inquiries, and comparing multiple offers—often leading to lost time, inaccuracies, and missed opportunities. Dealers' platforms and marketplace websites can introduce additional friction, occasionally requiring manual interactions and delivering inconsistent offers. The Sell a Used Car Agent powered by Airtop and n8n eliminates this friction by automating the selling process. Simply input your car's details once, and the automation quickly navigates through popular used car marketplaces like Carvana, CarMax, and others, efficiently fetching competitive buying offers. Leveraging Airtop’s powerful real-browser automation capabilities, this setup interacts smoothly with the forms and queries specific to each sales platform, eliminating error-prone manual entries and tedious repetition. This Airtop automation employs sophisticated data extraction features, including structured JSON output, ensuring accurate, formatted data ready for immediate review. Say goodbye to cumbersome listing processes, and hello to streamlined, effortless car selling. Who is this Automation for? Automation engineers streamlining marketplace interactions Developers building user-friendly car selling apps Technical teams optimizing inventory resale processes Dealership IT departments automating valuation systems Key Benefits No-code automation setup using Make Saves significant time with instant multi-platform offers Real browser sessions ensuring reliable site interactions Structured JSON output simplifying data integration Use Cases Car dealership teams quickly pricing used vehicles Individuals efficiently comparing offers from online dealers Developers building consumer-friendly automated car resale apps Technical consultants streamlining used car valuation processes How this Airtop Automation Works When started, Airtop opens automated, real browser sessions to intelligently fill out required car details on leading resale marketplaces (e.g., Carvana and CarMax). It captures instantly generated vehicle offers, structures them into clean JSON output, and returns organized buying proposals. All of this is accomplished without manual intervention. What You’ll Need A free Airtop API key Basic details describing your vehicle (make, model, condition, mileage) Setting up the workflow Create a new Airtop connection with your API key: Enter the information about the car you are selling into the "Variables" node. For example: > VIN: 1FTRF17253NB81140 Mileage: 221081 Zip code: 01952 Condition: Perfect, no interior or exterior damages, all tires are inflated, have 2 keys, working battery, has an attached catalytic converter, Airbags not deployed, No flood or fire damage. Ownership: full clean title with no debt answer yes to all other questions Run the workflow Customize the Automation Add or remove marketplaces based on regional availability or preference Extend JSON outputs to your internal inventory or sales systems Schedule regular automation runs to track market pricing trends Integrate additional valuation platforms for broader market coverage Automation Best Practices Regularly review marketplace URLs to maintain accuracy and consistency Verify structured data to ensure consistent JSON outputs Maintain clearly documented Make scenarios for easy debugging Periodically update your car's condition description for accurate pricing Happy Automating!
By AirtopPost on X using Airtop and automate content pipelines
About The Post to X Automation Seamlessly automate posting to X using Airtop and Make. How to Automate Posting to X with Airtop Consistently engaging your audience on X (formerly Twitter) can be a challenge, particularly when done manually. Developers and automation engineers often struggle with repetitive tasks like scheduling tweets, maintaining consistent posting cycles, and integrating content from various sources or AI-generated feeds. Manually managing content updates increases fatigue, human error, and decreases scalability. This n8n automation, powered by Airtop, simplifies automated content publishing onto X. Whether you're sharing daily updates, integrating dynamically generated AI content, or streamlining your marketing content pipeline, Airtop’s automation helps eliminate manual labor and reduces potential execution errors. Who is this Automation for? Social Media Managers scheduling recurring or automated posts on X Content Marketers integrating AI-generated content into their publishing process Developers implementing automated social media pipelines Automation Engineers minimizing errors and manual posting efforts Key Benefits Real-time, authenticated API postings via X Reliable structured workflows minimize manual errors Seamless integration with AI content pipelines Use Cases Automatically publish scheduled daily content updates Seamlessly post AI-generated insights, news summaries or industry updates Distribute alerts and event announcements reliably at set intervals Maintain active audience engagement by automating regular, high-frequency posts How the Post to X Automation Works This Airtop automation works by using your Airtop Profile signed-in into X via Airtop. Once authenticated securely with your X credentials, n8n handles the structured data flow, which can come from manual inputs, AI-generated sources, databases, or RSS feeds. Airtop then securely publishes the posts, providing reliable scheduled updates directly on X, removing manual oversight and streamlining your social media workflows. What You’ll Need An Airtop API key Your X (Twitter) account An Airtop Profile signed into X Setting Up the Automation Connect your Airtop account using your free Airtop API key Create an Airtop Profile and connect it to your X account Activate and schedule your scenario to automate regular posting Customize the Automation Customize your posting workflow extensively using Airtop's built-in node in n8n: Integrate diverse sources like RSS feeds and AI tools to dynamically customize automated posts Schedule precise posting intervals or diversify times for maximum audience engagement Set conditional logic to automate content posting based on predefined triggers and events Utilize Airtop’s structured data flows to manage categories, hashtags, or mentions in your posts Automation Best Practices Consistently update security credentials for uninterrupted access Clearly structure your workflow to simplify troubleshooting and logic updates Monitor posting frequency to ensure optimal audience reach and engagement Regularly review content sources to maintain quality control of automated postings Happy Automating!
By AirtopAutomated video download from Sample.cat using Airtop Browser Automation
README Automating Video File Download from Sample.cat with Airtop.ai Use Case Automating file downloads from web pages is useful for scenarios like bulk media retrieval, dataset access, or recurring content backups. This workflow ensures a hands-free, consistent process for retrieving downloadable content. What This Automation Does This automation performs a reliable download of a video file from a specified webpage using the following steps: Initiates an Airtop browser session. Opens a specified URL containing downloadable media. Interacts with the page to click the download button. Waits for the file to be processed and made available. Retrieves metadata to confirm availability. Downloads the file. Terminates the browser session to clean up resources. How It Works Manual Trigger: Activated by user test. Session: Starts an Airtop browser session. Window: Navigates to https://sample.cat/en/webm. Interaction: Simulates a click on the download button for the video titled “SD 640x360 (Seawater, drone view video, 30 FPS)”. Wait: Pauses for 10 seconds to allow the file to be ready for download. Get File Data: Checks for downloadable files in the session. Download File: Retrieves the file using its ID. Terminate: Ends the browser session to free up resources. Setup Requirements Airtop API Key — required to authenticate API calls. Next Steps Enhance with Retry Logic: Loop file availability check until status = available for more robust automation. Customize File Targets: Dynamically pass URLs and button descriptors for multi-source downloads. Connect to Storage: Pipe downloaded files to cloud storage or databases for archiving. Read more about automating file downloads from the web
By AirtopExtract structured LinkedIn profile data with Airtop & AI parsing
Extracting LinkedIn Profile Information Use Case Manually copying data from LinkedIn profiles is time-consuming and error-prone. This automation helps you extract structured, detailed information from any public LinkedIn profile—enabling fast enrichment, hiring research, or lead scoring. What This Automation Does This automation extracts profile details from a LinkedIn URL using the following input parameters: airtop_profile: The name of your Airtop Profile connected to LinkedIn. linkedin_url: The URL of the LinkedIn profile you want to extract data from. How It Works Starts with a form trigger or via another workflow. Assigns the LinkedIn URL and Airtop profile variables. Opens the LinkedIn profile in a real browser session using Airtop. Uses an AI prompt to extract structured information, including: Name, headline, location Current company and position About section, experience, and education history Skills, certifications, languages, connections, and recommendations Returns structured JSON ready for further use or storage. Setup Requirements Airtop API Key — free to generate. An Airtop Profile connected to LinkedIn (requires one-time login). Next Steps Sync with CRM: Push extracted data into HubSpot, Salesforce, or Airtable for lead enrichment. Combine with Search Automation: Use with a LinkedIn search scraper to process profiles in bulk. Adapt to Other Platforms: Customize the prompt to extract structured data from GitHub, Twitter, or company sites. Read more about the Extract Linkedin Profile Information automation.
By AirtopAutomated replies to X threads with Airtop browser automation
Use Case Automatically responding to X (formerly Twitter) posts can help you engage with potential customers at scale, saving time while maintaining a personal touch. What This Automation Does This automation replies to specified X posts using the following input parameters: airtop_profile: The name of your Airtop Profile connected to X. thread_url: The URL of the X post to reply to. Example reply_text: The message you want to post as a reply. How It Works Creates a browser session using Airtop. Navigates to the specified X post. Types and submits the reply text. Setup Requirements Airtop API Key — free to generate. An Airtop Profile connected to X (requires one-time login). Next Steps Combine with X Monitoring: Use this with the X monitoring automation to create a fully automated engagement pipeline. Extend to Other Platforms: Adapt the automation for use on LinkedIn, Reddit, or any web community. Read more about this Airtop Automation.
By AirtopCreate ideal customer profiles from LinkedIn data with Airtop and Claude AI
Define Your ICP from Customer LinkedIn Profiles Use Case This automation helps marketing and sales teams define their Ideal Customer Profile (ICP) using real LinkedIn profiles of current high-fit customers. By enriching and analyzing profile data, it generates a clear ICP definition and scoring methodology for future targeting. What This Automation Does This automation analyzes LinkedIn profiles of your existing customers and produces: A structured ICP definition A scoring model to evaluate future prospects A Google Boolean search string to find similar prospects Input: LinkedIn profile URLs of existing high-fit customers (e.g., https://www.linkedin.com/in/amirashkenazi/) Output: A Google Doc containing the ICP analysis and scoring methodology How It Works Trigger: Waits for a chat message containing one or more LinkedIn profile URLs. AI Agent: Parses and processes the URLs. Airtop Data Enrichment: Uses Airtop to extract structured information from each LinkedIn profile (e.g., job title, company, experience, skills). Memory: Maintains state between inputs for consistent analysis. LLM Analysis: Uses Claude 3.7 Sonnet to synthesize enriched data into a meaningful ICP. Google Docs: Automatically creates a new doc with a timestamped title and appends the ICP definition. Setup Requirements Airtop Profile connected to LinkedIn, Insert the profile name in the Airtop Tool Airtop API credentials. Get it free here If you choose to activate saving the profiles in Google Docs you will need OAuth2 credentials (or just copy the ICP definition from the chat) Next Steps Use the ICP for Scoring: Feed new LinkedIn profiles through the same Airtop enrichment and use the scoring function to evaluate fit. Automate Target Discovery: Plug the Boolean search output into LinkedIn, Google, or People Data Labs for ICP-matching lead generation. Refine Continuously: Repeat the workflow as your customer base grows or segments evolve. Read more about how to Define ICP from Customer Examples
By AirtopWeekly competitor Facebook ads intelligence report with Airtop and Gmail
README Monitor Competitor Facebook Ads with Airtop Use Case Monitor a competitor’s active Facebook ads and get a weekly HTML intelligence brief by email — saving time on manual research and helping you spot messaging, offers, and creative trends quickly. What This Automation Does Runs weekly on a set schedule. Uses Airtop to visit the competitor’s Facebook Ad Library page and extract up to 30 active ads. Summarizes each ad with key points: message, topic, CTA, duration active, language, target audience. Sends the compiled HTML report via Gmail. How It Works Schedule Trigger – Fires once a week at the configured time. Airtop Extraction – Loads the Ad Library URL and runs a prompt to extract and format the ads into HTML. Email Delivery – Sends the HTML report to your specified recipient using Gmail. Setup Requirements Airtop API Key — Generate here. Airtop Credential in n8n — Add your API key under “Airtop” in n8n. Gmail OAuth2 Credential — Connect the Gmail account to send reports. Competitor’s Ad Library URL — Replace the default viewallpage_id in the workflow with your target. Next Steps Duplicate the Airtop step for multiple competitors. Enrich reports by visiting ad landing pages for deeper analysis. Send outputs to Slack or archive in a shared workspace. Read about ways to monitor your competitors ads here
By AirtopGenerate LinkedIn posts from web pages with GPT-4 and human review
Use Case Turn any web page into a compelling LinkedIn post — complete with an AI-generated image. This automation is ideal for sharing content like blog posts, case studies, or product updates in a polished and engaging format. What This Automation Does Given a page URL and optional user instructions, this automation: Scrapes the content of the webpage Uses AI to write a clear, educational, and LinkedIn-optimized post Sends both to Slack for review and approval Handles feedback and revisions via Slack interactions Input: Page URL — The link to the webpage (required) Instructions — Optional notes on tone, emphasis, or format Output: LinkedIn post text Slack message with review/approval options How It Works Form Submission: User inputs a web page and optional instructions. Web Scraping: Uses Airtop to extract page content. Post Generation: AI agent writes a post based on the page and instructions. Slack Review Flow: Post and image sent to Slack for feedback User can approve, request revisions, or decline Revisions trigger reprocessing steps automatically Final Post Delivery: Approved post is sent back to Slack, ready to publish. Setup Requirements Generate an Airtop API key completely free. Configure your OpenAI credentials for post and image prompt generation Slack OAuth credentials and a Slack channel Next Steps Post Directly: Add LinkedIn publishing to automate the full content workflow. Template Variations: Offer post style presets (e.g., technical, story-driven, short-form). CRM Sync: Save approved posts and stats in Airtable or Notion for team use. Read more about generating social content using AI
By Airtop