How to Scrape LinkedIn with Ruby

LinkedIn contains valuable data — post results, profile results, company results, post snippets, and more. Scraping this data directly means dealing with anti-bot detection, CAPTCHAs, IP rotation, and constantly breaking selectors. The Scavio API handles all of that and returns clean, structured JSON from a single POST request.

This tutorial shows you how to scrape LinkedIn using Ruby and the Scavio API. By the end, you will have a working Ruby script that fetches real-time LinkedIn data and parses the results.

Prerequisites

• Ruby installed on your machine
• A Scavio API key (free tier includes 500 credits/month — no credit card required)

Step 1: Install Dependencies

Install net/http to make HTTP requests:

# net/http and json are in Ruby's standard library

Step 2: Make Your First LinkedIn Search

Send a POST request to the Scavio LinkedIn API endpoint with your query. The API returns structured JSON with post results, profile results, company results, and more.

require "net/http"
require "json"

api_key = "your_scavio_api_key"
uri = URI("https://api.scavio.dev/api/v1/search")

http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = true

request = Net::HTTP::Post.new(uri)
request["x-api-key"] = api_key
request["Content-Type"] = "application/json"
request.body = { query: query }.to_json

response = http.request(request)
data = JSON.parse(response.body)
puts JSON.pretty_generate(data)

Step 3: Example Response

The API returns structured JSON. Here is an example response for a LinkedIn search:

{
  "search_metadata": { "status": "success" },
  "organic_results": [
    {
      "position": 1,
      "title": "Jane Doe - Senior AI Engineer - Acme Corp | LinkedIn",
      "link": "https://www.linkedin.com/in/janedoe",
      "snippet": "San Francisco Bay Area · Senior AI Engineer at Acme Corp · 5,000+ connections · Experienced in LangChain, LangGraph, and RAG..."
    }
  ]
}

Every field is structured and typed — no HTML parsing, no CSS selectors, no regex extraction. Your Ruby code can access any field directly.

Step 4: Full Working Example

Here is a complete, runnable Ruby script that searches LinkedIn and prints the results:

require "net/http"
require "json"

# Scrape LinkedIn search results using Scavio API.
# Returns structured JSON with post results, profile results, company results, and more.

def search_linkedin(query)
  api_key = ENV["SCAVIO_API_KEY"]
  uri = URI("https://api.scavio.dev/api/v1/search")

  http = Net::HTTP.new(uri.host, uri.port)
  http.use_ssl = true

  request = Net::HTTP::Post.new(uri)
  request["x-api-key"] = api_key
  request["Content-Type"] = "application/json"
  request.body = { query: query }.to_json

  response = http.request(request)
  raise "API error: #{response.code}" unless response.is_a?(Net::HTTPSuccess)

  JSON.parse(response.body)
end

results = search_linkedin("site:linkedin.com/in AI engineer San Francisco")
puts JSON.pretty_generate(results)

Why Use Scavio Instead of Scraping LinkedIn Directly?

• No proxy management. Direct scraping requires rotating proxies to avoid IP bans. Scavio handles all of this server-side.
• No CAPTCHA solving. LinkedIn aggressively blocks automated requests. Scavio returns clean data every time.
• Structured JSON output. No HTML parsing or CSS selector maintenance. Get typed, consistent data from every request.
• Multi-platform in one API. Search Google, Amazon, YouTube, and Walmart from the same API key with the same authentication pattern.
• Free tier included. 500 credits/month with no credit card required. Each search costs 1 credit.