Prototyp · Vorschau: alle Server aus der offiziellen Registry, alle 30 Minuten synchronisiert. Bewertungen und Benutzerkonten folgen in einem späteren Schritt.
PopNx MCPMCP-Server für alle, die KI nutzen · in einfachen Worten erklärt

Facebook/Meta Ads Library Scraper API - Winning Ads, Scam Check

von AnshumanAtreyVersion 1.0.11i★ –iLäuft in der Cloud
Name in der Registryio.github.AnshumanAtrey/facebook-ads-library-api

Installieren

Überblick

Beschreibung vom Entwickler (englisches Original)

Facebook/Meta Ads Library Scraper - Winning Ads

Die drei Säulen von PopNx MCP

Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.

Was du damit machen kannst

Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.

  • Verbindung: Läuft in der Cloud
  • Transport: Streamable HTTP
  • Kategorie: Marketing & Social Media
  • Das musst du eintragen: Authorization

Installation

Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.

Bevor du installierst

  • Basischecks: 3 von 3 bestanden
  • Läuft auf dem Server des Entwicklers: Was du fragst, läuft über dessen Server.
  • Das trägst du selbst ein: Authorization

Als geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.

Du brauchst

Welche App nutzt du?

Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.

Diese Adresse braucht einen Schlüssel in einem Header der Anfrage, und das Menü zum Hinzufügen von Connectors kann ihn nicht setzen. Nutze stattdessen Claude Code, Cursor oder VS Code.

Führe das in deinem Terminal aus

claude mcp add --transport http facebook-ads-library-api 'https://mcp.apify.com/?tools=anshumanatrey/facebook-ads-library-api' --header 'Authorization: your-value'

Trag die leeren Werte ein, bevor du ihn startest.

In Cursor öffnen

Oder kopier die Einstellungen selbst

In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen

{
  "mcpServers": {
    "facebook-ads-library-api": {
      "url": "https://mcp.apify.com/?tools=anshumanatrey/facebook-ads-library-api",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

In VS Code öffnen

Oder kopier die Einstellungen selbst

In .vscode/mcp.json in deinem Projekt einfügen

{
  "servers": {
    "facebook-ads-library-api": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=anshumanatrey/facebook-ads-library-api",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

Diese Adresse braucht einen Schlüssel in einem Header der Anfrage, und das Menü zum Hinzufügen von Connectors kann ihn nicht setzen. Nutze stattdessen Claude Code, Cursor oder VS Code.

Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.

Werte, die du selbst einträgst

  • Authorization geheim erforderlich HTTP header
    Apify API token, as 'Bearer '. Runs bill to this account.

Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.

Was er kann

Der Server verlangt eine Anmeldung, bevor er seine Tools auflistet.

Basischecksi

Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026

  • ✓ Bestanden

    Entwickler passt zum Repo

    Der Registry-Name wurde mit dem GitHub-Konto AnshumanAtrey bestätigt, dem das Repo gehört

  • … Noch nicht geprüft

    Wird noch gepflegt

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • … Noch nicht geprüft

    Hat eine Lizenz

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • ✓ Bestanden

    Endpunkt antwortet

    Antwort in 39 ms (HTTP 401)

  • ✓ Bestanden

    Anmeldung mit OAuth

    Gibt OAuth-Anmeldung an, damit deine KI-App dich zum Einloggen weiterleiten kann

  • … Noch nicht geprüft

    Keine versteckten Anweisungen in Tool-Beschreibungen

    Noch nicht geprüft; wir lesen die Tool-Liste, wenn wir den Endpunkt prüfen

Im Vergleich mit anderen in Marketing & Social Mediai

  • Mehr Sterne als 0 % der anderen 2980 Server in dieser Kategorie
  • Neuer in der Registry veröffentlicht als 80 % der anderen 2980 Server in dieser Kategorie
  • Basischecks gleich gut wie oder besser als bei 100 % der anderen 2980 Server in dieser Kategorie

Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.

Häufige Fragen

Ist Facebook/Meta Ads Library Scraper API - Winning Ads, Scam Check sicher?

Er hat 3 von 3 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.

Welche Schlüssel oder Codes braucht er?

Das musst du eintragen: Authorization

Läuft er auf meinem Computer oder in der Cloud?

Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.

Wird er noch gepflegt?

Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.0.11) kam vor 8 Tagen in die Registry.

Welche Apps können ihn nutzen?

Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.

Was kann ich stattdessen nutzen?

In derselben Kategorie: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternativen

Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.

So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti

Google Analytics MCP

von surendranb

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

Läuft auf deinem Computer★ 244MITAktualisiert vor 10 Tagen
Installieren

README vom Entwickler

README öffnen

Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.

Facebook/Meta Ads Library Scraper API - Winning Ads, Scam Check

Scrape the Facebook Ads Library, which Meta now calls the Meta Ad Library (ads on Facebook, Instagram, Messenger, Threads and Audience Network), with no login, no cookies and no Meta API token. Type a keyword or paste a Facebook page, and get every matching ad as a row: the advertiser, how many days the ad has run, how many versions it has, the text, headline and button, the landing page and its domain, image and video links, platforms, and the reach, spend and EU audience data Meta publishes. On top of that: an advertiser list (businesses advertising on a keyword right now, one row each) and a brand scam check (ads that use a brand's name from pages that are not the brand's own). $0.70 per 1,000 ads, no start fee. Use it from the Apify Console, the API, Python, JavaScript, n8n, Make, Zapier or an AI agent through the Apify MCP server.

What does it do?

It reads the public Meta Ad Library, the same one at facebook.com/ads/library, and returns what you would otherwise copy by hand, for as many keywords or advertisers as you give it:

  • Ads for keywords (`ads`): every ad matching your words in a country or worldwide.
  • Ads of advertisers (`pages`): all ads of the Facebook pages you list, by link, page id or just the name.
  • Advertiser list (`advertisers`): the businesses advertising on your keywords now, with how many ads, their longest-running ad and the websites they send people to.
  • Brand scam check (`impersonation`): ads that name a brand but come from other pages, each with a risk level and the signals behind it (look-alike page name, look-alike landing domain, a new ad from a small page).

Why do people use the Ad Library data?

Answer: to see what already works in someone else's ads. Meta shows every running ad but no results, so the best free signal is time: an ad that has run for 30 to 90 days is almost always paying for itself, because nobody keeps paying for an ad that loses money.

  • Media buyers and DTC brands find competitors' long-running ads and copy the hook, offer and format instead of paying to test from zero. daysRunning and versions are here for that: several live versions of one ad are an A/B test, and the survivors are the winners.
  • Creative strategists and agencies keep a weekly watchlist of 10 to 20 brands and build swipe files; the landing domain shows the funnel behind each ad.
  • Agencies prospecting use the advertiser list: a business spending on ads now has a budget, so it is a warm lead.
  • E-commerce and dropshipping spot products pushed with many long-running ads.
  • Developers build ad-spy tools, n8n and Make flows (scrape, then have GPT or Gemini pull out hooks and write new variations) and AI-agent tools on top of it, without maintaining a scraper.
  • Brand protection and security teams run the brand scam check. Meta itself estimated about 15 billion scam ads are shown every day and expanded its brand-impersonation detection in March 2026; this finds the ones using your name.

How is it different from other Facebook Ads Library scrapers?

  • Cheaper than the two most-used Facebook/Meta Ads Library scrapers: $0.70 per 1,000 ads against $5.80 for Apify's own and $0.75 plus a start fee for curious_coder (together about 70% of this category's users). With no start fee it is also the cheapest for small runs: under 40 ads compared with automation-lab and under 250 compared with memo23. On large runs those two and jmlp cost less per ad; the table below shows every price.
  • Winning-ad signals built in: daysRunning is computed for every ad, versions is Meta's own count of an ad's variants, and Min days live (`minDaysRunning`) keeps only the long runners.
  • Landing domain on every ad, so you can group ads by the site they send people to.
  • Advertiser list and brand scam check in the same actor, charged the same way.
  • Simple for anyone: type a keyword and press Start; country names work (India, USA, UK), commas split keywords, and a pasted Ad Library link or Facebook page link is understood.
  • No proxy to set up: Meta blocks cloud and datacenter IPs (in our 2026-09-25 test both returned 0 ads), so every search runs on Apify's residential proxy, included in the price.
  • You pay only for rows saved, and a spending limit stops the run cleanly between batches.

How much does it cost to scrape the Facebook Ads Library?

$0.0007 per ad ($0.70 per 1,000), $0.008 per advertiser in the Advertiser list and $0.002 per ad in the brand scam check (it first reads the brand's own pages to learn their real websites). No start fee, no monthly fee, platform usage and residential proxy included. On paid Apify plans every price is 10% less on Scale and 20% less on Business and above ($0.56 per 1,000 ads on Business).

RunChargedPrice
The example input (20 ads for "running shoes")20 ads$0.014
100 ads for one keyword100 ads$0.07
1,000 ads across 10 keywords1,000 ads$0.70
Advertiser list from 200 ads, 60 advertisers found60 advertisers$0.48
Brand scam check that finds 40 ads from other pages40 scam-check ads$0.08
A search where Meta has no matching ads0$0.00

Apify's free plan includes $5 of monthly credit, which covers about 7,000 ads.

How does the price compare with other Facebook Ads Library scrapers?

The Facebook Ads Library actors with 250 or more users in the last 30 days on 2026-09-25, ordered by those users, at their Apify free-plan price.

ScraperPrice per 1,000 adsStart feeUsers, 30 days
This actor$0.70NoneNew
Facebook Ads Library Scraper by apify$5.80None6,040
Facebook Ads Library Scraper by curious_coder$0.75$0.000055,853
Facebook Ad Library Scraper by igolaizola$0.75$0.00751,048
Facebook Ads Library by automation-lab$0.575$0.005458
Facebook Ads Library Scraper by memo23$0.50$0.05340
Facebook Ads Library Scraper by brilliant_gum$15.00 + platform usage$0.001271
Meta Ad Scraper by whoareyouanas$10.00None256
Meta Ad Library Scraper by jmlp$0.15 + platform usageNone254

Several of these discount their prices on paid Apify plans, and some bill platform usage on top; automation-lab, memo23 and jmlp cost less per ad on large runs. Compare at your own plan if you run large volumes.

Which inputs does it take?

Every field has a plain name with its JSON key in brackets. Only Keywords is needed.

Field (JSON key)RequiredWhat it does
Report type (mode)Noads (default), pages, advertisers or impersonation (brand scam check)
Keywords (searchTerms)Yes, except for pagesOne per line; a, b on one line is two keywords; a pasted Ad Library search link works. For the scam check, the brand
Advertisers (pages)For pagesFacebook page links, page ids or names, for example https://www.facebook.com/nike or Gymshark
Country (country)NoALL (worldwide, default), a name such as India or a code such as IN
Ads per search (maxAds)NoMost ads saved per keyword or advertiser, default 100
Ad status (status)Noactive (default), inactive or all
Ad category (adType)Noall (default), political, housing, employment, credit
Media type (mediaType)Noall, image, video, meme, none
Min days live (minDaysRunning)NoKeep only ads that ran at least this many days
Exact phrase (exactPhrase)NoMatch the keywords as one phrase
Merge versions (groupVersions)NoOne row per group of ad versions
Order (sortBy)Noimpressions (most seen first, default) or relevance
Official pages (officialPages)NoFor the scam check: the brand's own pages; left empty, pages named exactly like the brand are used and listed in the run summary
{ "searchTerms": ["running shoes"], "country": "US", "minDaysRunning": 30, "maxAds": 200 }

What does the output look like?

One row per ad (or per advertiser in the Advertiser list). Every key is always present, empty when Meta has no such part. An example ad row, shortened:

{

"adId": "866569929827744", "adLibraryUrl": "https://www.facebook.com/ads/library/?id=866569929827744", "pageName": "Example Brand", "pageId": "1234567890", "pageLikes": 48210, "isActive": true, "startDate": "2026-06-01T12:30:00", "daysRunning": 116, "versions": 3, "platforms": ["FACEBOOK", "INSTAGRAM", "THREADS"], "adText": "Our best-selling trainer is back in stock...", "headline": "Free shipping this week", "callToAction": "Shop now", "landingUrl": "https://www.example.com/sale", "landingDomain": "example.com", "imageUrls": ["https://scontent.xx.fbcdn.net/..."], "videoUrls": [], "spend": null, "ageGender": [], "impersonation": null }

Brand scam check rows add impersonation: {"brand": "Nike", "risk": "high", "signals": ["page name uses the brand but it is not an official page", "sends people to nike-outlet-sale.shop, a look-alike site, not an official domain"]}. The signals are for you to review, not a verdict: resellers such as Foot Locker also use brand names and come back as low risk.

The run summary is the OUTPUT record: status, notes about anything we changed in your input, one entry per search with how many ads were read and saved, and the charged events.

How fast is it?

In our 2026-09-25 tests on Apify (256 MB, peak 57-70 MB): 20 ads in 16 s, 200 ads for one keyword in 106 s, 3 keywords of 50 ads each in 49 s (they run at once, each on its own residential IP), 60 ads of 2 advertisers in 48 s, and an advertiser list of 86 businesses from 100 ads in 66 s. No run was rate-limited.

Common questions

Q: Is the Facebook Ads Library the same as the Meta Ad Library? Yes. It is the same public library at facebook.com/ads/library; Meta now calls it the Meta Ad Library, and it covers ads on Facebook, Instagram, Messenger, Threads and Audience Network. This actor reads all of them.

Q: Do I need a Facebook account, cookies or a Meta API token? No. It reads the public Ad Library the way a logged-out visitor sees it.

Q: Can I see how much an ad spends or how many people it reached? For political and issue ads, yes: Meta publishes spend and impressions ranges. For ads delivered in the EU, Meta publishes reach by age, gender and region. For other ads Meta shows no numbers, which is why daysRunning and versions matter.

Q: How do I find winning ads? Set Min days live (minDaysRunning) to 30 or more. Ads that keep running for weeks are the ones making money, and versions shows which ones are being tested in several variants.

Q: Is this the official Meta Ad Library API? No. The official API needs a developer account and identity verification and covers political and issue ads plus ads shown in the EU. This actor covers every ad the public Ad Library shows.

Q: Can I monitor competitors every week? Yes. Save the input as an Apify task and schedule it; Ad status (status) active with Order (sortBy) impressions gives the ads that matter first.

Q: Why do I need a residential proxy? You do not set one up. Meta rate-limits cloud and datacenter IPs to zero ads, so the actor uses Apify's residential prox

Nur der Anfang wird gezeigt; den Rest findest du im Repo

PopNx fragen