Meta Ad Library contains valuable data -- ad creatives, page_name and page_id, start_date and end_date, publisher_platform, 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 Meta Ad Library using Rust and the Scavio API. By the end, you will have a working Rust script that fetches real-time Meta Ad Library data and parses the results.
Prerequisites
- Rust installed on your machine
- A Scavio API key (free tier includes 50 credits on signup -- no credit card required)
Step 1: Install Dependencies
Install reqwest to make HTTP requests:
cargo add reqwest serde_json tokio --features reqwest/json,tokio/fullStep 2: Make Your First Meta Ad Library Search
Send a POST request to the Scavio Meta Ad Library API endpoint with your query. The API returns structured JSON with ad creatives, page_name and page_id, start_date and end_date, and more.
// This page has no dedicated endpoint yet, so the sample runs a Google web search.
use reqwest::Client;
use serde_json::{json, Value};
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let api_key = "sk_live_your_key";
let query = "notion";
let client = Client::new();
let response = client
.post("https://api.scavio.dev/api/v2/google")
.header("Authorization", format!("Bearer {}", api_key))
.json(&json!({ "query": query }))
.send()
.await?;
let data: Value = response.json().await?;
println!("{}", serde_json::to_string_pretty(&data)?);
Ok(())
}Step 3: Example Response
The API returns structured JSON. Here is an example response for a Meta Ad Library search:
{
"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 Rust code can access any field directly.
Step 4: Full Working Example
Here is a complete, runnable Rust script that searches Meta Ad Library and prints the results:
use reqwest::Client;
use serde_json::{json, Value};
use std::env;
/// Search Meta Ad Library data with the Scavio API.
/// POST /api/v2/google - rows come back under organic_results.
// This page has no dedicated endpoint yet, so the sample runs a Google web search.
const API_URL: &str = "https://api.scavio.dev/api/v2/google";
async fn search_meta_ads(query: &str) -> Result<Value, Box<dyn std::error::Error>> {
let api_key = env::var("SCAVIO_API_KEY")?;
let client = Client::new();
let response = client
.post(API_URL)
.header("Authorization", format!("Bearer {}", api_key))
.json(&json!({ "query": query }))
.send()
.await?;
if !response.status().is_success() {
return Err(format!("Scavio API error: {}", response.status()).into());
}
Ok(response.json().await?)
}
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let data = search_meta_ads("notion").await?;
println!("{}", serde_json::to_string_pretty(&data)?);
Ok(())
}Why Use Scavio Instead of Scraping Meta Ad Library Directly?
- No proxy management. Direct scraping requires rotating proxies to avoid IP bans. Scavio handles all of this server-side.
- No CAPTCHA solving. Meta Ad Library 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.