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How to Scrape Google Scholar with C#

Step-by-step guide to scraping Google Scholar search results using C# and the Scavio API. Get paper titles, paper URLs, SERP snippets as structured JSON.

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Google Scholar contains valuable data -- paper titles, paper URLs, SERP 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 Google Scholar using C# and the Scavio API. By the end, you will have a working C# script that fetches real-time Google Scholar data and parses the results.

Prerequisites

  • C# installed on your machine
  • A Scavio API key (free tier includes 50 credits on signup -- no credit card required)

Step 1: Install Dependencies

Install HttpClient to make HTTP requests:

Bash
dotnet new console

Step 2: Make Your First Google Scholar Search

Send a POST request to the Scavio Google Scholar API endpoint with your query. The API returns structured JSON with paper titles, paper URLs, SERP snippets, and more.

// Scavio has no Google Scholar endpoint, so citation counts and author lists are not
// available. This runs a Google web search - narrow it with site:arxiv.org or
// filetype:pdf.
using System.Net.Http.Json;
using System.Text.Json;

var apiKey = "sk_live_your_key";
var query = "retrieval augmented generation 2024";

var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer " + apiKey);

var response = await client.PostAsJsonAsync(
    "https://api.scavio.dev/api/v2/google",
    new { query }
);
response.EnsureSuccessStatusCode();

var json = await response.Content.ReadAsStringAsync();
var data = JsonSerializer.Deserialize<JsonElement>(json);
Console.WriteLine(JsonSerializer.Serialize(data, new JsonSerializerOptions { WriteIndented = true }));

Step 3: Example Response

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

JSON
{
  "search_parameters": { "q": "cold brew coffee", "hl": "en", "gl": "us" },
  "organic_results": [
    {
      "position": 1,
      "title": "how do you guys make cold brew? : r/Coffee",
      "link": "https://www.reddit.com/r/Coffee/comments/oi7rm7/how_do_you_guys_make_cold_brew/",
      "snippet": "i wanna learn how to make cold brew coffee but theres a lot of ways...",
      "source": "Reddit"
    }
  ],
  "related_searches": [{ "query": "cold brew ratio", "link": "https://www.google.com/search?q=cold+brew+ratio" }],
  "response_time": 2841,
  "credits_used": 1,
  "credits_remaining": 4821
}

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

Step 4: Full Working Example

Here is a complete, runnable C# script that searches Google Scholar and prints the results:

using System.Net.Http.Json;
using System.Text.Json;

// Search Google Scholar data with the Scavio API.
// POST /api/v2/google - rows come back under organic_results. Run with: dotnet run
// Scavio has no Google Scholar endpoint, so citation counts and author lists are not
// available. This runs a Google web search - narrow it with site:arxiv.org or
// filetype:pdf.

var apiUrl = "https://api.scavio.dev/api/v2/google";
var apiKey = Environment.GetEnvironmentVariable("SCAVIO_API_KEY");

var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer " + apiKey);

async Task<JsonElement> SearchGoogleScholar(string query)
{
    var response = await client.PostAsJsonAsync(apiUrl, new { query });
    response.EnsureSuccessStatusCode();
    var json = await response.Content.ReadAsStringAsync();
    return JsonSerializer.Deserialize<JsonElement>(json);
}

var data = await SearchGoogleScholar("retrieval augmented generation 2024");
Console.WriteLine(JsonSerializer.Serialize(data, new JsonSerializerOptions { WriteIndented = true }));

Why Use Scavio Instead of Scraping Google Scholar Directly?

  • No proxy management. Direct scraping requires rotating proxies to avoid IP bans. Scavio handles all of this server-side.
  • No CAPTCHA solving. Google Scholar 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. 50 credits on signup with no credit card required. Each search costs 1 credit.

Frequently Asked Questions

Scraping publicly available data from Google Scholar is generally legal, but you should review Google Scholar's Terms of Service. Using the Scavio API avoids the legal gray areas of direct scraping since Scavio handles all data collection through proper channels and returns structured results via API.

Direct scraping of Google Scholar requires managing proxies, CAPTCHAs, rate limits, and anti-bot detection. The Scavio API handles all of this for you. Send a POST request with your query and get structured JSON back — no proxy management or browser automation needed.

The Scavio API returns structured JSON with paper titles, paper URLs, SERP snippets. All data is returned in a clean, consistent format that is easy to parse in C#.

Scavio offers a free tier with 50 credits on signup. Each API request costs 1 credit regardless of which platform you search. No credit card required to start. Paid plans start at $30/month for higher volumes.

Scavio returns Google Scholar results in 1-3 seconds on average. Results are fetched in real time from Google Scholar — there is no caching layer or stale data. Every request returns live results.

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Start Scraping Google Scholar with C#

Get your free Scavio API key and start fetching Google Scholar data in C#. 50 free credits on signup -- no credit card required.

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