LinkedIn Ads Scraper

What is LinkedIn Ads Scraper?

LinkedIn Ads Scraper is a LinkedIn ads scraper for the public LinkedIn Ad Library. Enter keywords, company links, advertiser or payer names, or Ad Library links, and each ad comes back as one row with copy, headline, creatives, landing page with UTM tags, run dates and EU/EEA impressions and targeting. Use it for competitor ad research, ad creative swipe file building and competitor ad monitoring. Pay per ad from $1.80 per 1,000 on the Gold plan, platform usage billed in addition. 📢 Try it free

Use it for:

• 🔎 Competitor ad research: see which ads a rival runs, in which formats and since when.
• 🎨 Ad creative swipe file: collect headlines, ad copy, images, videos and document links for your next campaign brief.
• 📈 Competitor ad monitoring: schedule runs and compare new ads against your last export.
• 🔗 Landing page and UTM tracking: list landing domains and UTM tags per ad.
• 📝 Ad copy analysis: study calls to action and the links inside the ad text.
• 🏢 Advertiser discovery: find which companies advertise on a keyword.

The Apify platform adds scheduling, an API, webhooks, integrations and exports to JSON, CSV, Excel, XML or HTML.

What can LinkedIn Ads Scraper do?

• 🔎 Search the LinkedIn ad library by keyword, company link, advertiser: Name, payer: Name, an Ad Library search link or a single ad link.
• 🌍 Filter LinkedIn ads by country and by date range, and sort newest or oldest first.
• 🔬 Open every ad for the full text, landing page, run dates, impressions and targeting, or switch that off for a quick scan.
• 🎨 Return every format: single image, carousel, video, message, document, event, article and text ads.
• 📊 Save separate tables for targeting, impressions by country, carousel slides, media, links, advertisers and searches.
• 🕒 Stream each ad into the dataset as soon as it is collected, so you can watch results appear.

What data can LinkedIn Ads Scraper extract?

Each ad is one row in the default dataset (the Ads table). Fields that LinkedIn does not show for an ad are returned empty.

Group	Fields
📢 Ad	adId, adUrl, format, creativeType, isRestricted, restrictionDetails, variantCount
🏢 Advertiser	advertiserName, advertiserUrl, advertiserId, advertiserType, advertiserLogo, advertiserHeadline, thoughtLeader, paidBy
📝 Copy	body, bodyTruncated, bodyLinks, headline, ctas
🔗 Landing page	clickUrl, clickUrlSource, landingDomain, utm
🎨 Creative	imageUrl, carouselSlides, video, document, message, event, article
📅 Run dates	availability, isActive
📈 Reach	impressions, impressionsPerCountry, targeting
🔎 Run info	detailsFetched, query, totalAdsForQuery, searchUrl, scrapedAt, error

Note: availability, isActive, impressions, impressionsPerCountry and targeting exist only for ads LinkedIn served in the EU/EEA. error appears only when the full ad could not be read; the search data is still returned.

What data can't LinkedIn Ads Scraper extract?

• Ads that LinkedIn does not list in its public Ad Library.
• Impressions, run dates and targeting for ads outside the EU/EEA, because LinkedIn does not publish them.
• Spend or budget figures, which the Ad Library does not show.

How to scrape LinkedIn ads

1. Create a free Apify account at console.apify.com.
2. Open LinkedIn Ads Scraper.
3. Add keywords, company links, advertiser: Name, payer: Name or Ad Library links to urls.
4. Choose countries, dateRange and sortBy, and set maxItems for each search.
5. Keep includeDetails on for the complete data, or turn it off for a quick scan.
6. Click Start and watch ads appear in the Output tab while the run is going.
7. Export the dataset as JSON, CSV or Excel.

How much does it cost to scrape LinkedIn?

LinkedIn Ads Scraper uses pay-per-event pricing: you pay for each ad saved to the default dataset, and platform usage is billed in addition. Per-section tables and the failed inputs table are not billed as ads.

Apify plan	Price per ad	Price per 1,000 ads
Free	$0.0025	$2.50
Bronze	$0.0023	$2.30
Silver	$0.002	$2.00
Gold	$0.0018	$1.80

The Actor start event costs $0.00005 per GB of memory, with a minimum of one event. The default memory is 1024 MB, so each run is charged 1 start event, $0.00005. The pricing tab also lists a dataset item event of $0.00001 per result ($0.01 per 1,000).

Worked example: 5,000 ads on the Gold plan cost 5,000 x $0.0018 = $9.00 for results, plus $0.05 for dataset item events and $0.00005 for the start event, about $9.05 before platform usage.

Free plan math: the $5 monthly Free credit covers about 2,000 ads at the Free price of $0.0025 (before the dataset item event and platform usage).

Is scraping LinkedIn ads free?

You can try it on the Free plan, where the monthly credit pays for about 2,000 ads before platform usage. Bigger volumes use Bronze, Silver or Gold prices. You can also set a maximum charge per run, and the run stops cleanly when it is reached. See the pricing page.

Input

Only urls is required. The prefilled example below collects ads for one company in the US.

{
  "urls": ["https://www.linkedin.com/company/hubspot/"],
  "countries": ["US"],
  "proxyConfiguration": { "useApifyProxy": false }
}

The full list of fields is on the input schema page.

Field	Type	Required	Default	Description
urls	array	yes	none	Keywords, LinkedIn company links, advertiser: Name, payer: Name, Ad Library search links or single ad links. Duplicates are removed.
maxItems	integer	no	10	Ads per search. 0 returns everything the Ad Library lists. The form and schema default is 10; if the key is missing from an API call, it is treated as 0 (everything).
includeDetails	boolean	no	true	Opens every ad for the full text, landing page, run dates, impressions, targeting, video and document links.
countries	array	no	empty (worldwide)	Two-letter country codes such as US, GB, DE.
dateRange	string	no	allTime	allTime, last-30-days, current-month, current-year, last-year or custom.
startDate	string	no	none	First day of the custom range, YYYY-MM-DD.
endDate	string	no	none	Last day of the custom range, YYYY-MM-DD. Empty means yesterday.
sortBy	string	no	newest	newest or oldest.
maxConcurrency	integer	no	8	How many ads are opened at the same time (1 to 16).
maxRequestRetries	integer	no	4	How often a failed step is retried (0 to 10).
proxyConfiguration	object	no	{"useApifyProxy": false}	Optional proxy choice for the run.

Tricky fields

• urls
  • ✅ Good: "https://www.linkedin.com/company/hubspot/", "crm software", "payer: HubSpot".
  • ❌ Bad: an Ad Library link with no keyword, advertiser or payer in it; it returns nothing.
  • ✅ Good: a company link, which is matched to the advertiser with that name.
  • ❌ Bad: a member profile link when you want one company; member pages are matched by name and may include other advertisers.
• maxItems
  • ✅ Good: 50 for a first look at a competitor.
  • ❌ Bad: 0 with includeDetails on for a very large search, because every ad is opened separately and the run takes much longer.

Warning: 0 means everything the Ad Library lists for each search. Set a number first, then raise it.

• dateRange
  • ✅ Good: custom together with startDate and endDate.
  • ❌ Bad: startDate or endDate while dateRange is not custom; they are ignored.

Warning: The Ad Library only goes back about one year, so earlier dates are adjusted to the earliest searchable date.

• countries
  • ✅ Good: ["US", "DE"].
  • ❌ Bad: country names such as "Germany"; use two-letter codes. A pasted Ad Library link keeps its own country filter.

Output

Results appear in the Output tab and in the default dataset while the run is going. Export them as JSON, CSV, Excel, XML or HTML, or read them through the API. Besides the Ads table, the run saves separate tables for targeting, impressions by country, carousel slides, media, links, advertisers, searches and failed inputs.

JSON example

An ad from the prefilled input (values are examples):

{
  "adId": "1000000001",
  "adUrl": "https://www.linkedin.com/ad-library/detail/1000000001",
  "format": "SINGLE_IMAGE",
  "creativeType": "SPONSORED_STATUS_UPDATE",
  "advertiserName": "Example Company",
  "advertiserUrl": "https://www.linkedin.com/company/12345",
  "advertiserId": "12345",
  "advertiserType": "company",
  "advertiserLogo": "https://example.com/logo.jpg",
  "advertiserHeadline": "Example headline",
  "thoughtLeader": null,
  "paidBy": "Example Company, Inc.",
  "availability": { "start": "2026-09-01", "end": "2026-10-15", "durationDays": 45, "text": "Ran from Sep 1, 2026 to Oct 15, 2026" },
  "body": "Example ad text.",
  "bodyTruncated": false,
  "bodyLinks": ["https://example.com/guide"],
  "headline": "Example ad headline",
  "ctas": ["Learn more"],
  "clickUrl": "https://example.com/guide?utm_source=linkedin&utm_campaign=demo",
  "clickUrlSource": "ad",
  "landingDomain": "example.com",
  "utm": { "source": "linkedin", "campaign": "demo" },
  "imageUrl": "https://example.com/ad.jpg",
  "carouselSlides": null,
  "video": null,
  "document": null,
  "message": null,
  "event": null,
  "article": null,
  "impressions": { "label": "10k-50k", "min": 10000, "max": 50000 },
  "impressionsPerCountry": [{ "country": "Germany", "percent": 60, "label": "60%" }],
  "targeting": { "location": { "includes": ["Germany"], "excludes": [] } },
  "isRestricted": false,
  "restrictionDetails": null,
  "variantCount": 1,
  "detailsFetched": true,
  "query": "https://www.linkedin.com/company/hubspot/",
  "totalAdsForQuery": 120,
  "searchUrl": "https://www.linkedin.com/ad-library/search?accountOwner=example",
  "scrapedAt": "2026-11-07T10:00:00Z",
  "isActive": false
}

A row of the targeting table:

{
  "adId": "1000000001",
  "adUrl": "https://www.linkedin.com/ad-library/detail/1000000001",
  "advertiserName": "Example Company",
  "format": "SINGLE_IMAGE",
  "facet": "Location",
  "rule": "include",
  "value": "Germany"
}

A row of the searches table:

{ "input": "https://www.linkedin.com/company/hubspot/", "kind": "search", "adsFound": 10, "adsInLibrary": 120, "status": "ok" }

A row of the failed inputs table:

{ "input": "example keyword", "url": "https://www.linkedin.com/ad-library/search?keyword=example", "error": "the search page could not be loaded" }

The other tables (impressions by country, carousel slides, media, links and advertisers) follow the same pattern: ad identifiers plus the section values.

The run also saves a RUN_SUMMARY record with counts such as searches_requested, ads_saved, ads_charged, ads_without_details, entries_with_problems, entries_skipped, duration_seconds and spend_limit_reached.

Notes and limitations

• Run dates, impressions, impressions per country and targeting exist only for EU/EEA ads.
• clickUrl can be empty: many non-EU ads and message ads have no outbound link. When the ad text contains an external link, the first one is used and clickUrlSource is body; when the link comes from the ad itself, it is ad.
• Media links are signed and expire, so download what you need soon after the run.
• With includeDetails off, the text can be shortened and bodyTruncated is true.
• isActive is true when the ad ran within the last 2 days and is only known for ads with run dates.

Tips and advanced usage

• Start with maxItems 10 to check the output, then raise it. In API calls, set maxItems explicitly, because a missing value means everything.
• Use advertiser: Name for a brand name and payer: Name for the company that paid for the ads.
• Schedule LinkedIn ads scraping weekly on the same input to follow new campaigns, and use the LinkedIn ad library date filter to narrow ads by creation date.
• For LinkedIn ad library competitor analysis, compare competitor LinkedIn ads side by side and read the body, headline and ctas fields as LinkedIn ad copy examples.
• For LinkedIn ad landing page tracking, group the links table by landing domain and LinkedIn UTM parameters.
• Use the advertisers table and paidBy for LinkedIn B2B advertising research and to find who is advertising on LinkedIn for a keyword.
• Review LinkedIn ad targeting criteria such as language, location, job and company for EU/EEA ads.
• The format field separates LinkedIn carousel ads, LinkedIn video ads and LinkedIn document ads, and LinkedIn thought leader ads carry member details in thoughtLeader.
• The media table holds LinkedIn ad media links, and the ctas field holds LinkedIn ad CTA buttons.
• Feed ads into your own LinkedIn ads for AI analysis of messaging.
• Download LinkedIn ads from the Output tab to export LinkedIn ads to Excel, or read the LinkedIn ads JSON through the API as a LinkedIn ads data extractor.
• Save the LinkedIn ad library to CSV or use it like a LinkedIn ad library API from your own code.
• It also works as a bulk LinkedIn ads scraper for many keywords and as a LinkedIn competitor ads scraper.

Integrations and API

Can I use LinkedIn Ads Scraper as an API?

Yes. Start runs and read results with the Apify API or the apify-client packages for Node.js and Python. See the API tab for ready-made calls.

How to scrape LinkedIn ads with Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("data_minds/linkedin-ads-scraper").call(run_input={
    "urls": ["https://www.linkedin.com/company/hubspot/"],
    "countries": ["US"],
    "proxyConfiguration": {"useApifyProxy": False},
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["advertiserName"], item["headline"])

Can I integrate LinkedIn Ads Scraper with other apps?

Yes. Connect it to Make, Zapier, Google Sheets or Slack, trigger other tools with webhooks, and schedule recurring runs from the Apify Console.

Can I use LinkedIn Ads Scraper with AI agents (MCP)?

Yes. Use the Apify MCP server to let an AI agent run the Actor and read its results. Setup details are on the MCP tab.

Other LinkedIn scrapers

Actor	What it does
📢 LinkedIn Ads Library Scraper	Scrapes the LinkedIn Ad Library for ad copy, headlines, creatives, CTAs, advertiser and payer, impressions by country, targeting and run dates.
👤 LinkedIn People Search Scraper	Finds public LinkedIn profiles by keyword, job title, location and company, with work history, education and career metrics.
📝 LinkedIn Post Scraper	Scrapes public LinkedIn posts from company pages, profiles, post URLs and content searches: full text, author, media, engagement and comments.
🔁 Post Reshares & Reposts Scraper for LinkedIn (No Cookies)	Scrapes public LinkedIn posts from links or IDs: text, author, reactions, comments, media, links and reposted originals.

FAQ

Is it legal to scrape LinkedIn ads?

The Actor only collects ads that LinkedIn shows publicly in its Ad Library. Whether your use is lawful depends on your country and purpose, so read Is web scraping legal? and follow LinkedIn's terms. This is not legal advice; ask a lawyer when unsure.

How does LinkedIn Ads Scraper work?

You give it keywords, company links, advertiser or payer names, or Ad Library links, plus optional country and date filters. It looks each one up in the public Ad Library, collects every matching ad up to your maximum, and saves one row per ad with separate section tables you can export.

Why scrape LinkedIn ads?

Marketers and agencies scrape LinkedIn ads to research competitors, build ad creative swipe files, benchmark campaigns and track landing pages. Sales teams use advertiser lists to discover companies that spend on B2B ads. Repeated runs show which messages competitors launch, test and stop over time.

Why did I get fewer LinkedIn ads than expected?

Check three things: your maxItems limit, your country and date filters, and whether the search really has that many ads in the Ad Library. The searches table shows adsFound and adsInLibrary for each input, and the failed inputs table lists searches that could not be loaded.

Why are impressions and targeting empty for some ads?

LinkedIn publishes impression ranges, impressions per country, run dates and targeting only for ads served in the EU and EEA. For ads outside that area these fields are empty by design, not by error. The ad copy, creatives, advertiser and landing page are still returned.

Do I need a LinkedIn account or cookies?

No. It needs no LinkedIn login and no cookies. You only need a free Apify account to start runs. Never share your LinkedIn password with any scraper; this Actor does not ask for it, and public Ad Library data is all it collects.

Can I search a company by its LinkedIn link?

Yes. Paste a company link such as the HubSpot page in the example, and the Actor matches it to the advertiser with that name. A numeric company link is used directly. You can also type advertiser: Name to search by advertiser name, or payer: Name for the paying company.

LinkedIn Ads Scraper not working, what should I do?

First check your input against the examples above and read the run log, which explains most problems in plain words. If results still look wrong, open a report in the Issues tab with your run link, and the maintainers will look into it.

Support and feedback

• Found a bug or need another field? Open the Issues tab.
• Need custom solutions? Write to hello.dataminds@gmail.com.
• Built and maintained by the data_minds team on Apify.

LinkedIn Ads Scraper is an independent tool and is not affiliated with or endorsed by LinkedIn. Use the data in line with the law and LinkedIn's terms.