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SearchAPI Review 2026: Price per 1,000 Ads, EU Reach & MCP

A SERP-style API with meta_ad_library and ad-details engines, structured JSON and a 99.9% SLA.

Oleg Glanz

By: |Updated:

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#5 of 8 · Best multi-library API

SearchAPI.io Meta Ad Library API

(4.46)
Learn More

On SearchAPI's official website

SearchAPI.io is the best option if you need the Meta Ad Library alongside other ad libraries in one API. Its meta_ad_library engine returns structured JSON for keyword or page searches, and the meta_ad_library_ad_details engine adds EU and UK transparency data for each ad.

Because reach needs one details search per ad, 1,000 ads with EU reach cost about $4.13 on the $40 Developer plan and about $1.55 on the largest plans. Only successful searches are billed, and a hosted MCP endpoint lets AI agents call the same engines.

Screenshot of the SearchAPI website (searchapi.io)
The SearchAPI website — searchapi.io

Quick facts

Best forTeams that also need Google, TikTok, LinkedIn and Reddit ad libraries
1,000 ads with EU reach$4.13
EU reachOne extra details call per ad
MCP serverHosted MCP endpoint
Entry plan$40/month for 10,000 searches ($4 per 1,000)
Pricing modelMonthly subscription, pay per successful search
Free tier100 free requests, no card
Search byKeyword, page ID, location, ad type, platform, media type, language, dates
Data returnedAds with page details, copy, creatives, dates, platforms; EU and UK transparency (reach by age, gender, country) via the ad details engine
Other ad librariesMeta, LinkedIn, TikTok and Reddit ad libraries, Google Ads Transparency Center, 50+ search engines
IntegrationsREST API, SDKs, HTML/JSON result archive
Maintained bySearchApi (commercial API)

Our ratings

CriterionScore
Price per 1,000 ads4.1
Data depth & EU reach4.5
Reliability & maintenance4.8
Ease of use4.5
AI & MCP readiness4.4
Integrations & exports4.5
Free tier & trial4.4
Overall4.46 / 5

How these scores are calculated: our methodology.

Pros and cons

Pros

  • One integration for every major ad library plus Google SERPs
  • Ad details engine returns both EU and UK reach breakdowns
  • Pay only for successful searches, with premium proxies included

Cons

  • EU reach costs one extra search per ad, and monthly quotas expire
  • Pagination tokens grow large; deep pagination needs POST requests
  • Less Meta-specific depth (no transcripts or spend estimates)

SearchAPI pricing: what 1,000 ads cost

Price per 1,000 ads
With EU reach (entry plan)$4.13
At volume, with EU reach$1.55
Ad list only, no reach$0.13
How EU reach is returnedOne extra details call per ad
Pricing basisDeveloper plan: $40/month for 10,000 searches

Each search page (about 30 ads) is one search. EU and UK transparency data come from the meta_ad_library_ad_details engine, one search per ad, so 1,000 ads with reach use about 1,034 searches.

  • Developer: $40/month, 10,000 searches ($4 per 1,000)
  • Production: $100/month, 35,000 searches ($3 per 1,000)
  • BigData: $250/month, 100,000 searches ($2.50 per 1,000)
  • Scale: $500/month, 250,000 searches; Octo plans from $1.50 per 1,000

Using SearchAPI with Claude and AI agents

AI & MCP readiness: 4.4/5. In the Claude apps, add the server URL under Settings → Connectors → Add custom connector; in Claude Code, use the command below.

Hosted MCP endpoint

Auth: OAuth bearer token or X-MCP-Token header

Server URL

https://www.searchapi.io/mcp

The same JSON shape across Meta, Google, TikTok and LinkedIn ad libraries keeps multi-library prompts simple.

Verdict: who should use it?

Choose it if…

You already use SERP APIs or need several ad libraries, including UK reach, through one integration.

Skip it if…

You only need Meta data in occasional bursts, where expiring monthly quotas waste money.

Visit SearchAPI

On SearchAPI's official website

SearchAPI FAQ

How do I get EU reach from SearchAPI?

Take the ad_details_token from each meta_ad_library result and call engine=meta_ad_library_ad_details with it. The response includes eu_total_reach and an age, gender and country breakdown, and uk_transparency where available.

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About the author

Oleg Glanz

Oleg Glanz

Founder and editor

LinkedIn profile

Oleg Glanz is a performance marketer who builds direct-response funnels for e-commerce brands through FullFunnelSetup.com. Meta Ad Library research is part of his daily work, which is why he built AdSpends, an ad intelligence tool that turns Ad Library data into searchable ads, landing pages and ad spend estimates.

He writes AdLibraryScraper.com to document what each scraper and API actually returns, what it costs, and where it breaks, so marketers and developers can pick the right data source without trial and error.