Metapi vs SearchAPI.io: Which Meta Ad Library API Is Right for Your Project?

TL;DR: Quick Decision Matrix

Both are legitimate API services with different strengths. The right choice depends on whether you need a generalist platform or a specialist tool.

What Is SearchAPI.io?

Company Overview

SearchAPI.io is an established SERP API platform that provides structured data from 30+ search engines and platforms. Their supported engines include Google Search, Google Maps, Google Shopping, Bing, Baidu, YouTube, and Meta Ad Library, among others. The platform runs on AWS infrastructure and claims up to $2M in legal liability coverage.

SearchAPI.io is well-regarded in the SERP scraping community, with mentions across developer publications, comparison articles, and GitHub rankings. Their documentation is solid, with code examples in Python, cURL, and Node.js. It's a good product—the question is whether a generalist platform is the right choice when your primary need is Facebook Ad Library data.

How SearchAPI Handles Meta Ad Library

SearchAPI.io exposes two endpoints for Meta Ad Library data:

• Meta Ad Library API (engine: meta_ad_library) — Search ads by keyword or page_id, filter by country, ad_type, location. Pagination via next_page_token. Returns ad_archive_id, page_id, snapshots, creative URLs, impressions, dates, and platform data.
• Meta Ad Library Page Search (engine: meta_ad_library_page_search) — Discover pages in the Ad Library. Returns page_id, category, page_name, and profile URI. Useful for finding page IDs before querying ads.

Each API call consumes one search credit, regardless of which engine you use. A Meta Ad Library search costs the same as a Google SERP search. Each page of results returns approximately 25 ads, so extracting all ads for a page with 500 ads requires 20 API calls (20 search credits).

SearchAPI Pricing Breakdown

SearchAPI.io offers four standard plans. All plans share credits across all 30+ engines—there is no separate Meta Ad Library pricing.

Important: SearchAPI.io charges per search (API call), not per ad. Since each page returns ~25 ads, the effective cost per 1,000 ads is higher than the per-search price suggests:

• • Developer plan: $4.00/1K searches = ~$3.20 per 1,000 ads (at 25 ads/page)
• • Scale plan: $2.00/1K searches = ~$1.60 per 1,000 ads (at 25 ads/page)

SearchAPI.io only charges for successful requests (HTTP 200 responses). Custom plans are available for higher volumes.

What Is Metapi?

Built Specifically for Facebook Ad Library

Metapi is a managed API service built exclusively for Facebook Ad Library data extraction. Unlike multi-engine platforms, 100% of our engineering effort goes into one thing: making Facebook Ad Library data reliable, complete, and easy to integrate. This specialization means faster adaptation when Meta changes the Ad Library, deeper data coverage, and features that only make sense for ad data—like webhook alerts for new competitor ads and historical archiving of deactivated ads.

How It Works

You send a REST API request with your search parameters—keyword, country, advertiser page ID, date range—and receive a JSON response with structured ad data. All anti-bot handling, proxy rotation, CAPTCHA solving, and Meta change adaptation happens on our infrastructure. You never see rate limits, blocking errors, or broken responses.

Metapi also provides features that go beyond simple request-response: webhook notifications for new ads and creative changes, historical data archiving (ads remain accessible after Meta deactivates them), creative asset caching (image and video URLs that don't expire), and bulk export endpoints for large-scale data extraction.

Pricing Model

Metapi uses volume-based pricing optimized for ad data. No platform fees, no compute charges, no shared credit pools across unrelated engines.

Head-to-Head: 10 Technical Comparison Points

A detailed breakdown of the technical differences that matter when choosing between a generalist SERP platform and a specialist Ad Library API.

1. Data Coverage & Completeness

SearchAPI.io returns data from Meta's Ad Library as-is. As one of 30+ engines, Meta Ad Library doesn't receive the same level of data validation and cross-referencing as their core Google SERP product. The data you get depends entirely on what Meta's Ad Library returns at that moment.

Metapi cross-validates data through multiple extraction methods, achieving 95%+ ad coverage for any given query. Our specialization means we can detect and fill gaps that a generalist platform would miss. Every response follows a unified JSON schema with consistent field coverage.

2. Pricing: Cost Per Ad (The Real Math)

SearchAPI.io charges per API search, not per ad. Each page returns ~25 ads. Here's what that means in practice:

Key insight: On paper, SearchAPI.io's per-ad cost can be competitive at higher tiers. But credits are shared across all engines. If you also use Google SERP, the credits available for Meta Ad Library shrink. With Metapi, every credit goes to Ad Library data.

3. Rate Limits & Throughput

SearchAPI.io enforces a hard 20% hourly rate limit across all plans. From their pricing page:

"Please note that you can utilize only up to 20% of your plan's credits each hour."

On the Developer plan (10K credits), this means a maximum of 2,000 API calls per hour. For monitoring 1,000 advertiser pages where each requires at least one discovery call plus pagination calls, you can hit this limit quickly.

Metapi offers transparent rate limits designed for burst-friendly workloads. Our infrastructure is built specifically for Ad Library access patterns—large batch pulls, continuous monitoring, and real-time alerting—without artificial hourly caps.

4. Real-time Monitoring & Webhooks

SearchAPI.io: No webhook support. It's a request-response API only. To monitor competitors for new ads, you must build your own polling infrastructure: cron jobs, state storage, diff logic, and notification pipelines.

Metapi: Built-in webhook notifications for new ads, creative changes, and volume spikes. Configure endpoints for Slack, email, or any custom integration. No polling infrastructure needed—we push events to you in real time.

5. Historical Data & Archiving

SearchAPI.io: Returns the current state of the Ad Library at query time. When Meta deactivates an ad and removes it from the public Library, the data is gone. There is no archival or historical access.

Metapi: Archives ads after deactivation, providing access to 2+ years of historical data. This is critical for competitive analysis (tracking how competitor creative strategies evolve), compliance workflows, and academic research.

6. Creative Asset Management

SearchAPI.io: Returns creative URLs as provided by Meta. These URLs are not cached or stored by SearchAPI.io. If Meta removes the creative asset, the link returns a 404. For teams building ad creative libraries, this means you must download and store assets yourself immediately after retrieval.

Metapi: Caches and stores creative assets (images, videos) on our infrastructure. URLs remain accessible even after Meta removes the original. No race condition between data retrieval and asset download.

7. Bulk Operations

SearchAPI.io: Per-request pagination only. For bulk extraction of 100K ads, you need to handle pagination (next_page_token), respect the 20% hourly rate limit, manage request failures, and aggregate results yourself. No dedicated bulk export endpoint.

Metapi: Dedicated bulk endpoints with CSV and JSON export. Request large datasets in a single call and receive results asynchronously. Built for the "export everything for advertiser X" workflow that agencies and researchers need.

8. API Response Format & Schema

Both APIs return structured JSON. SearchAPI.io's response includes fields like ad_archive_id, snapshot (with page_name, creative URLs), is_active, start_date, publisher_platform, and impressions_with_index. Metapi normalizes data into a consistent, documented schema with clear field names and types.

The key difference: SearchAPI.io's schema follows Meta's internal data structure. Metapi normalizes data into a developer-friendly format designed for programmatic consumption and integration into downstream systems.

9. Uptime & Reliability

SearchAPI.io: Does not publish a specific uptime SLA for Meta Ad Library endpoints. Their platform uptime may differ from the availability of individual engines. Since Meta Ad Library is not their core product, outages specific to this engine may have lower priority.

Metapi: 99.9% uptime SLA specifically for Ad Library data. When Meta changes the Ad Library, our team adapts the infrastructure—typically within hours, not days. One product, one SLA, one priority.

10. Support & Documentation

SearchAPI.io: Good documentation with Python, cURL, and Node.js examples. Support covers all 30+ engines. When you have a Meta Ad Library-specific question, the support team handles it alongside Google SERP, Bing, and Baidu tickets.

Metapi: Documentation focused entirely on Ad Library use cases. Support team specializes in Facebook Ad Library data—they understand Meta's anti-bot patterns, data quirks, and common integration patterns because it's the only thing they support.

Pricing Scenarios: Real-World Cost Comparison

Abstract per-unit pricing doesn't tell the full story. Here's what each API costs for three common real-world scenarios.

Scenario 1: Startup Monitoring 20 Competitors

A startup tracking 20 competitor pages, checking for new ads weekly. Each page averages 50 active ads. Monthly volume: ~4,000 ads + discovery calls.

Scenario 2: Agency Tracking 100 Brands

A marketing agency monitoring 100 client competitors, daily checks. Each brand averages 200 active ads. Monthly volume: ~100,000 ads + discovery.

Scenario 3: SaaS Platform Ingesting 500K Ads/Month

A SaaS product that indexes ad data for its users. Needs 500,000 ads/month with real-time updates, historical access, and creative caching.

Bottom line: For pure API call cost at high volume, SearchAPI.io can be competitive. But when you factor in the engineering cost of building your own webhooks, polling, creative caching, historical storage, and bulk export—Metapi's all-in-one pricing becomes the better value for Ad Library-focused workloads.

Code Comparison: Getting Ads for a Brand

The same task—fetch all active ads for a specific brand page—implemented with both APIs. Side-by-side Python examples.

SearchAPI.io Example

import requests

API_KEY = "your_searchapi_key"
BASE_URL = "https://www.searchapi.io/api/v1/search"

def get_all_ads_searchapi(page_id, country="US"):
    """Fetch all ads for a page using SearchAPI.io.
    Each API call = 1 search credit, returns ~25 ads."""
    all_ads = []
    params = {
        "engine": "meta_ad_library",
        "api_key": API_KEY,
        "page_id": page_id,
        "country": country,
        "ad_type": "all"
    }

    while True:
        response = requests.get(BASE_URL, params=params)
        data = response.json()

        ads = data.get("ads", [])
        all_ads.extend(ads)

        # Pagination via next_page_token
        next_token = data.get("next_page_token")
        if not next_token:
            break
        params["next_page_token"] = next_token

    return all_ads

# Usage: 500 ads = ~20 API credits
ads = get_all_ads_searchapi("123456789")

Metapi Example

import requests

API_KEY = "your_metapi_key"
BASE_URL = "https://api.metapi.io/v1"

def get_all_ads_metapi(page_id, country="US"):
    """Fetch all ads for a page using Metapi.
    Supports bulk retrieval and webhook alerts."""
    response = requests.get(
        f"{BASE_URL}/ads",
        headers={"Authorization": f"Bearer {API_KEY}"},
        params={
            "page_id": page_id,
            "country": country,
            "status": "active",
            "limit": 500  # Bulk retrieval in one call
        }
    )
    return response.json()["data"]

# Usage: 500 ads in a single request
ads = get_all_ads_metapi("123456789")

# Optional: Set up webhook for new ads (one-time)
requests.post(
    f"{BASE_URL}/webhooks",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "page_id": "123456789",
        "events": ["run.completed", "run.failed"],
        "url": "https://your-app.com/hooks/metapi"
    }
)

Key Differences in Developer Experience

When SearchAPI.io Is the Better Choice

SearchAPI.io is a well-built platform with genuine advantages. It may be the better choice in these scenarios:

• Multi-engine needs: If your project requires Google SERP + Bing + YouTube + Meta Ad Library data, SearchAPI.io lets you use a single subscription and API key for everything. That's genuinely convenient.
• Existing SearchAPI customer: If you already use SearchAPI.io for SERP data, adding Meta Ad Library queries to your existing account is the path of least resistance. No new vendor, no new billing setup.
• Small volume Ad Library usage: Under 10K ads/month, SearchAPI.io's Developer plan ($40/mo) is a reasonable all-in-one option, especially if you use other engines too.
• Legal liability coverage: SearchAPI.io claims up to $2M in legal coverage. If legal protection is a priority for your organization, this is a real differentiator.
• One-off research projects: For a single competitive analysis report where you don't need ongoing monitoring, SearchAPI.io's per-search model works fine.

When Metapi Is the Better Choice

Metapi is built for teams and products where Facebook Ad Library data is a core dependency:

• Facebook Ad Library is your primary data source: When Ad Library data powers your product or workflow, you want the provider that dedicates 100% of engineering to that data source. Not 1/30th.
• Ongoing monitoring with webhooks: If you need real-time alerts for new competitor ads, creative changes, or volume spikes, Metapi's built-in webhooks save weeks of engineering time versus building polling infrastructure.
• Volume over 50K ads/month: At higher volumes, Metapi's pricing, rate limits, and bulk export capabilities provide better economics and less engineering overhead.
• Historical data access: For competitive intelligence, academic research, and compliance, access to deactivated ads is essential. Metapi archives what SearchAPI.io can't.
• Building a SaaS product: Webhooks, historical data, 99.9% uptime SLA, bulk operations, and creative caching are the infrastructure layer you'd otherwise build yourself. Metapi gives you that out of the box.
• Uptime SLA requirement: If your business depends on continuous Ad Library data, Metapi's 99.9% SLA gives you a contractual guarantee that a generalist platform doesn't offer for this specific engine.

Can You Use Both?

Absolutely. This isn't an either-or decision. Many teams use both:

• SearchAPI.io for SERP data: Google search rankings, keyword tracking, SERP feature monitoring—SearchAPI.io's core strength.
• Metapi for Ad Library data: Ad creatives, competitor monitoring, historical data, webhook alerts—Metapi's core strength.

Using the best specialized tool for each data source gives you better reliability, deeper data coverage, and features optimized for each use case. The "one vendor for everything" approach is convenient, but it means accepting compromises on every data source that isn't the vendor's primary focus.

Migration Guide: SearchAPI.io → Metapi

If you're currently using SearchAPI.io for Meta Ad Library data and want to switch to Metapi, the migration is straightforward. Most teams complete it in under a day.

Step 1: Map Your Current Queries

Document your current SearchAPI.io queries: which page_ids you monitor, which countries you filter by, how often you poll, and which response fields you consume. Metapi supports the same search parameters, so the mapping is usually 1:1.

Step 2: Replace Endpoint URLs

Swap the SearchAPI.io base URL (searchapi.io/api/v1/search) with the Metapi endpoint (api.metapi.io/v1/ads). Update authentication from query parameter API key to Bearer token header. Update response field names to match Metapi's schema.

Step 3: Update Pagination Logic

Replace SearchAPI.io's next_page_token pagination with Metapi's offset/limit pagination or bulk retrieval endpoints. For most use cases, you can replace the entire pagination loop with a single bulk request.

Step 4: Add Webhooks (New Capability)

If you previously built polling infrastructure to track search task completion, you can now replace it with a single webhook registration. Set up webhooks for run.completed and run.failed events, then decommission your cron jobs and status-polling logic. This is typically the step where teams reclaim the most engineering time.

FAQ: Metapi vs SearchAPI.io for Meta Ad Library