LinkedIn Ads Scraper

LinkedIn Ads Scraper: read the LinkedIn Ad Library by company, keyword or payer

Search the public LinkedIn Ad Library without an account and get one row per ad: the advertiser, the company that actually paid, the ad copy, the headline, the call to action, the creative image or video and the landing URL.

Two things to know before you start. The library holds roughly the last twelve months, so anything older is simply not there. And the run dates, the impressions band and the targeting are only published for ads delivered into the EU, so on a US or UK search those fields come back null and that is LinkedIn's rule, not a gap in the row.

📣 What LinkedIn Ads Scraper does

The Ad Library is open to anyone, but it is built for clicking through one advertiser at a time. This turns it into rows.

You can search four ways and mix them freely: by company, by words in the ad copy, by the payer, or by country on its own to sweep everything running into a market. Each term becomes its own search and the results are pooled into one dataset.

The advertiser and the payer are not always the same company, which is the part most people miss. A media agency often pays for a brand's ads, so searching the agency as a payer maps its whole client roster in one run. Both names are on every row.

By default the run also opens each ad's own detail page. That page is the only place LinkedIn publishes the untruncated copy, the landing URL, the country split and the EU disclosure fields. Turning it off makes a run faster and the price per ad does not change.

📥 What you give it

{
  "companies": ["HubSpot"],
  "countries": ["DE"],
  "dateRange": "last-30-days",
  "maxItems": 100
}

Everything is optional, but give it at least one company, keyword, payer or country. A run with none of those returns a free sample row and stops.

The row budget is split evenly between your searches. Four searches and maxItems: 200 gives you fifty of each, not two hundred of the first. Set maxItems below the number of searches and each one returns a single row.

📤 What you get back

A real row from a recent run, with the media links cut short:

{
  "ok": true,
  "charged": true,
  "recordType": "ad",
  "searchTerm": "HubSpot",
  "searchType": "company",
  "adId": "1552531503",
  "adUrl": "https://www.linkedin.com/ad-library/detail/1552531503",
  "advertiserName": "HubSpot",
  "advertiserUrl": "https://www.linkedin.com/company/68529",
  "advertiserId": "68529",
  "payerName": "HubSpot, Inc.",
  "adType": "Video Ad",
  "creativeType": "SPONSORED_VIDEO",
  "adText": "HubSpot vereint Kundendaten, historische Daten und Teams. So wirken Kampagnen schneller, Teams arbeiten besser zusammen und nichts bleibt liegen.",
  "headline": "Ergebnisse für den 9-Uhr-Termin um 8:56",
  "callToAction": "Learn more",
  "landingUrl": null,
  "imageUrl": "https://media.licdn.com/dms/image/v2/D4D10AQH8c-Ni0tRqCQ/videocover-high/...",
  "videoUrl": "https://dms.licdn.com/playlist/vid/v2/D4D10AQH8c-Ni0tRqCQ/progressive-servable-video/...",
  "firstShownDate": null,
  "lastShownDate": null,
  "runDates": null,
  "totalImpressions": null,
  "countries": [],
  "impressionsByCountry": [],
  "targeting": [],
  "isRestricted": false,
  "restrictionDetails": null,
  "scrapedAt": "2026-09-21T01:33:25.034Z"
}

That row is a German-language ad found by company search, and the EU fields are empty because the search was not scoped to an EU country. Add "countries": ["DE"] and they fill in.

🧾 Reading the output

Three kinds of row, and only ads cost anything.

The charged field is a row marker, not a receipt. It is what separates a real ad row from a sample or a diagnostic, and it is stamped as the row is built rather than after the money moves. Your Apify run detail is the authority on what you were actually billed.

A diagnostic row carries an errorCode:

▶️ How to run it

1. Open LinkedIn Ads Scraper and click Try for free. 2. Put a company name in Companies / advertisers, or words in Keywords in the ad copy. 3. Add a country code in Countries if you want the EU disclosure fields. 4. Set Maximum ads, then click Start. 5. Download the dataset as JSON, CSV or Excel, or read it from the Apify API.

💰 How much does it cost?

$0.25 per 1,000 ads. Flat on every Apify plan, no volume tiers.

One charge per ad row. An ad that two of your searches both find is written and charged once. Sample rows and diagnostic rows are never charged, and a search that finds nothing costs you nothing for results. Opening each ad's detail page does not change the price.

💡 What people use it for

• Reading a competitor's current campaigns: the copy, the hooks, the offers and where they point.
• Mapping an agency's client list by searching the agency as the payer.
• Checking which markets a company is actually buying in, and roughly how heavily, in the EU.
• Building a swipe file of headlines and calls to action for a category before writing new ads.

🚧 What it does not do

• No spend, no budget, no CPM. The library does not publish them, and neither does this.
• Impressions are bands, and EU only. So are run dates and targeting. Outside the EU those

fields are null on every row.

• About twelve months of history. Older campaigns are gone from the library itself.
• No audience data about who saw an ad, beyond the targeting facets LinkedIn discloses.
• A name search is a name match. Two companies sharing a name both come back. Use the company

URL with the numeric id when you need exactly one advertiser.

• Restricted ads arrive without their creative. You get the card and the flag, not the image.
• No ad performance ranking. Order is the library's, and it is not by impact.

🧭 Which ad library scraper do you need?

❓ Questions people ask

Do I need a LinkedIn account? No, and there is no cookie field. The Ad Library is public.

Why are the dates and impressions empty? Because the ad was not delivered into the EU, or your search was not scoped to an EU country. That disclosure only exists for EU delivery.

Can I get ads older than a year? No. The library holds about twelve months and there is no archive behind it.

Why did I get fewer rows than maxItems? Either the searches found fewer ads, or your budget was split across several searches. Check searchTerm on the rows to see which.

Is scraping the Ad Library legal? It is a public transparency database LinkedIn publishes on purpose. Apify's write-up on scraping and the law is a reasonable starting point, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Send the run ID and the exact search you used. The errorCode on the diagnostic row is usually enough to explain it.