LinkedIn Ads Scraper

Extract competitor ads from LinkedIn's public Ad Library at scale. Every ad comes back with its advertiser, creative format and Ad Library link, plus whatever copy and creative image LinkedIn puts on the card. Switch on detail mode and, in every market including the US, you also get the complete untruncated copy, the destination link, the paying legal entity and the video file on video ads. On EU-served ads LinkedIn publishes more on top: dates active, total impressions, each country's share of those impressions, and the advertiser's full targeting. Built for B2B marketers, competitive-intelligence analysts and agencies who need to see what rivals are running on LinkedIn without buying an enterprise ad-intelligence seat.

Why This Scraper?

• 12 named ad formats, zero unknown rows across 2,112 test rows — single image, video, carousel, document, message, spotlight, text, thought-leader, article, event, job and follow-company ads, each tagged with a clean format value you can filter and pivot on, and each matching the label LinkedIn itself prints on the card
• 42 countries to filter by — US, UK, Canada, Ireland, Australia, Germany, France, Spain, Italy, Netherlands, Japan, South Korea, Brazil, Mexico, India, UAE, Saudi Arabia, Turkey, Israel and 23 more
• Complete ad copy in every market, not the 121-character preview — LinkedIn cuts body text off at 121 characters on search results. Detail mode returns the whole thing, up to 2,999 characters measured on a US-only run, and it works exactly the same in the US as it does in Europe
• EU transparency data on top, decoded — for ads LinkedIn discloses under the Digital Services Act you additionally get dates active, total impressions, each country's percentage share of them, and the full targeting picture: languages, included locations, excluded locations, and six audience facets (Audience, Demographic, Company, Education, Job, Member Interests and Traits). Measured at 100% fill on an EU detail run
• Three search modes, combinable in one run — keyword, advertiser company slug, or a pasted Ad Library URL. Stack dozens together; rows are deduplicated by ad ID so the same ad is never returned or charged twice
• Advertiser searches return one company, not a brand's whole ecosystem — asking for hubspot gives you HubSpot's own ads, not the 7 partner agencies with "HubSpot" in their company name. One switch turns the wider ecosystem view back on when you want it
• Paused and expired campaigns included — LinkedIn keeps roughly 12 months of history, so you see what a competitor stopped running, not only what is live today
• Creative assets, not just text — 94.9% of rows on a broad test search carried the creative image URL, and detail mode adds the direct video file URL on video ads, ready to drop into a swipe file or a creative-review deck. Job and message ads are the exception, because LinkedIn ships no creative at all on those
• Two-tier pay-per-event pricing — $0.50 per 1,000 ads. Only the ads that actually carried the EU transparency disclosure cost $0.90 per 1,000, so on a measured US-only detail run 72.5% of rows still billed at the basic price. Nothing else is charged

Use Cases

Competitive Intelligence

• Monitor every ad your competitors run on LinkedIn, including campaigns they have already paused
• Track which messaging, headlines and calls to action your industry is testing this quarter
• Spot new product launches by watching a competitor's ad volume spike

Ad Creative Research

• Pull thousands of ad creatives by topic ("AI", "cybersecurity", "fintech") for inspiration
• Build a swipe file of high-performing B2B ad copy across all 12 formats
• Compare image vs video vs document strategies in your niche

Brand Monitoring

• Watch for competitors bidding against your brand keywords
• Detect partner or reseller ads that misrepresent your product
• Audit your own agency's live campaigns from the public viewer

Lead Generation & Sales Intelligence

• Identify which companies are actively running paid LinkedIn campaigns, a strong intent signal
• Build prospect lists of advertisers in specific verticals or geographies
• Surface agencies and SaaS vendors actively investing in growth

Market & Trend Research

• Quantify advertising activity by geography or industry over time
• Map which message frames dominate B2B marketing right now
• Feed datasets into BI dashboards for client-facing reporting

Getting Started

Example A — Simple keyword search

The fastest way to start. Each keyword runs its own search and the results are merged and deduplicated.

{
    "keywords": ["marketing automation", "sales enablement"],
    "maxResults": 500
}

Example B — Advertiser-scoped, multi-country, with date filter

Pull every ad a competitor ran in the US and UK over the last year. The slug is the part after linkedin.com/company/ in their company URL.

{
    "advertisers": ["hubspot", "salesforce"],
    "countries": ["US", "GB"],
    "dateOption": "last-year",
    "maxResults": 2000
}

Example C — Detail-enriched run

Switch on fetchDetails to open each ad's own page. In any country that gives you the complete ad copy, the destination link, the paying entity and the video file on video ads.

{
    "keywords": ["b2b saas"],
    "countries": ["US"],
    "dateOption": "last-30-days",
    "fetchDetails": true,
    "maxResults": 1000
}

Swap countries to EU markets on the same input and LinkedIn's transparency block fills in as well: dates active, total impressions, per-country impression shares and complete targeting.

{
    "keywords": ["b2b saas"],
    "countries": ["DE", "FR", "NL", "ES", "IT"],
    "dateOption": "last-30-days",
    "fetchDetails": true,
    "maxResults": 1000
}

Example D — Bulk via Start URLs

Already built a search in the LinkedIn Ad Library interface? Paste the URL directly and every filter is preserved.

{
    "startUrls": [
        "https://www.linkedin.com/ad-library/search?keyword=cybersecurity&countries=US",
        "https://www.linkedin.com/ad-library/search?accountOwner=nvidia&dateOption=last-year"
    ],
    "maxResults": 5000
}

Example E — Custom date range

Pull ads active in a specific six-week window. Both dates must fall within the last 12 months, which is LinkedIn's retention limit.

{
    "keywords": ["generative ai"],
    "dateOption": "custom-date-range",
    "startDate": "2026-02-01",
    "endDate": "2026-03-15",
    "maxResults": 1000
}

Input Reference

What to search

Parameter	Type	Default	Description
keywords	string[]	empty	Free-text search terms (e.g. "AI marketing", "crypto"). Each keyword runs its own search and the results are combined
advertisers	string[]	empty	LinkedIn company slugs (e.g. "nvidia", "microsoft", "hubspot"). The slug comes from the company URL — linkedin.com/company/<slug>. Returns only that company's own ads. Use the slug from the URL, not a display name like "Microsoft Corp"
includeRelatedAdvertisers	boolean	false	Widen an advertiser search back out to a company-name match, so partners, resellers and agencies carrying the brand in their own name are included too (searching "hubspot" then also returns "Systony - HubSpot Elite Partner" and similar). You are billed for those extra ads
startUrls	string[]	empty	Paste full LinkedIn Ad Library search URLs directly. Bypasses the keyword and advertiser fields above

Filters

Parameter	Type	Default	Description
countries	string[]	empty	Restrict results to ads served in selected countries. 42 supported (US, GB, CA, DE, FR, JP, BR, IN, AE and more). Empty means every country
dateOption	string	last-30-days	Time window. One of last-30-days, current-month, current-year, last-year, custom-date-range
startDate	string	empty	Custom start date, YYYY-MM-DD. Used only when dateOption is custom-date-range. Must fall within the last 12 months
endDate	string	empty	Custom end date, YYYY-MM-DD. Used only when dateOption is custom-date-range. Must fall within the last 12 months

Output options and limits

Parameter	Type	Default	Description
fetchDetails	boolean	false	Opens each ad's own page. In every country that returns the complete body copy instead of the 121-character preview, the destination link, the paying entity, the advertiser profile link and the video file on video ads. On EU-served ads only, LinkedIn additionally publishes dates active, total impressions, impressions per country and targeting. Only the ads carrying that EU disclosure are billed at the higher tier
maxResults	integer	1000	Cap on total ads across all searches combined. Leave the box empty and the run stops at 1,000. Enter 0 for no cap. Each individual search still stops at roughly 4,800 ads, which is how deep LinkedIn lets a single search go

Output

Each run pushes one row per ad. Two record shapes are possible: a basic search-result record, and (when fetchDetails: true) a record enriched from the ad's own page.

Basic record (fetchDetails: false)

{
    "recordType": "ad",
    "adId": "1281881684",
    "adLibraryUrl": "https://www.linkedin.com/ad-library/detail/1281881684",
    "advertiserName": "Maxio",
    "advertiserSlug": null,
    "advertiserUrl": null,
    "advertiserLogoUrl": "https://media.licdn.com/dms/image/v2/C4E0BAQE361-JB8cBLA/company-logo_100_100/0/1649952212473/wearemaxio_logo",
    "paidBy": null,
    "format": "image",
    "creativeType": "SPONSORED_STATUS_UPDATE",
    "headline": "Download Maxio Institute's Latest Report",
    "headlineDescription": null,
    "body": "In the realm of SaaS, benchmarks are more than just numbers — they're game-changers. Here's why...",
    "imageUrl": "https://media.licdn.com/dms/image/v2/D5610AQFymJR7uHth1w/image-shrink_1280/B56Z3FO9k9HQAc-/0/1777130527273",
    "videoUrl": null,
    "clickUrl": null,
    "country": null,
    "firstSeen": null,
    "lastSeen": null,
    "impressionsRange": null,
    "impressionsPerCountry": null,
    "targeting": null,
    "detailPageFetched": false,
    "detailsFetched": false,
    "query": "keyword: marketing automation",
    "scrapedAt": "2026-04-27T15:42:01Z"
}

Detail-enriched record (EU ad, fetchDetails: true)

{
    "recordType": "ad",
    "adId": "1389159976",
    "adLibraryUrl": "https://www.linkedin.com/ad-library/detail/1389159976",
    "advertiserName": "Niketa Calame-Harris, MFA",
    "advertiserSlug": "niketacalame",
    "advertiserUrl": "https://www.linkedin.com/in/niketacalame",
    "advertiserLogoUrl": "https://media.licdn.com/dms/image/v2/D4D03AQ.../profile-displayphoto.jpg",
    "paidBy": "The Harris Tech Pivot",
    "format": "image",
    "creativeType": "SPONSORED_STATUS_UPDATE",
    "headline": "Welcome to The Harris Tech Pivot",
    "headlineDescription": null,
    "body": "Bridging the gap between underrepresented talent and tech opportunity. Full ad copy comes back here, often well past 1,000 characters, with paragraph breaks preserved.",
    "imageUrl": "https://media.licdn.com/dms/image/v2/D4D22AQ.../feedshare-shrink_2048_1536.jpg",
    "videoUrl": null,
    "clickUrl": "https://harristechpivot.example.com/welcome",
    "country": null,
    "firstSeen": "2026-04-10",
    "lastSeen": "2026-04-14",
    "impressionsRange": {"min": 1000, "max": 5000, "label": "1k-5k"},
    "impressionsPerCountry": {
        "Germany": {"percent": 62.0, "percentMin": 62.0, "percentMax": 62.0, "label": "62%"},
        "France": {"percent": 37.0, "percentMin": 37.0, "percentMax": 37.0, "label": "37%"},
        "Poland": {"percent": 1.0, "percentMin": 0.0, "percentMax": 1.0, "label": "less than 1%"}
    },
    "targeting": {
        "languages": ["English"],
        "locations": ["City of Johannesburg", "United States"],
        "locationsExcluded": ["India", "Europe", "Accra"],
        "parameters": {
            "Audience": {"targeted": false, "excluded": false},
            "Demographic": {"targeted": true, "excluded": false},
            "Company": {"targeted": false, "excluded": false},
            "Education": {"targeted": false, "excluded": false},
            "Job": {"targeted": true, "excluded": false},
            "Member Interests and Traits": {"targeted": false, "excluded": false}
        }
    },
    "detailPageFetched": true,
    "detailsFetched": true,
    "query": "advertiser: nike",
    "scrapedAt": "2026-04-27T15:42:14Z"
}

Ad content fields

Returned on every run, whatever the settings. recordType, adId, adLibraryUrl and format came back on 100% of 2,112 test rows. The creative fields depend on what LinkedIn puts on the card, so read the coverage notes before building a pipeline that assumes they are always there.

Field	Type	Description
recordType	string	Always "ad". Discriminator for downstream pipelines
adId	string	LinkedIn's unique ad identifier
adLibraryUrl	string	Public Ad Library page for this ad
format	string	One of image, video, carousel, document, message, spotlight, text, thoughtleader, article, event, job, follow. Each maps to the label LinkedIn prints on the card itself ("Single Image Ad", "Video Ad", "Follow Company Ad" and so on). unknown appears only if LinkedIn ships a creative type nobody has seen before, and it did not appear on any of 2,112 test rows
creativeType	string | null	LinkedIn's internal creative type (e.g. SPONSORED_STATUS_UPDATE, SPONSORED_VIDEO), preserved as-is for advanced filtering
headline	string | null	Primary headline. Do not assume it is present. LinkedIn omits the headline block on search results for article, carousel, message and document ads and most video ads, so fill rate follows the format mix your search happens to return: 40% to 91% across eight test searches
headlineDescription	string | null	Secondary headline line. Often null; LinkedIn rarely renders one
body	string | null	Ad body copy, paragraph breaks preserved. Present on 96% to 100% of rows. Search results carry a 121-character preview ending in …; switch on fetchDetails for the complete copy, in any country. Job and message ads carry no copy block at all and return null
imageUrl	string | null	Ad creative image URL. Present on most ads (94.9% on a broad test search). Job and message ads ship no creative and return null
videoUrl	string | null	Direct video file URL, highest quality available. LinkedIn publishes it on the ad's own page only, so this needs fetchDetails switched on, and it fills on video ads

Advertiser fields

Field	Type	Description
advertiserName	string	Display name of the advertiser, company or individual member
advertiserLogoUrl	string | null	Advertiser's logo or profile image
advertiserSlug	string | null	LinkedIn identifier for the advertiser, either a numeric company id ("68529") or a member vanity slug ("niketacalame"). Filled on every row of an Advertisers search, with no need for fetchDetails. Keyword and pasted-URL searches fill it from the ad's own page, so those need fetchDetails: true
advertiserUrl	string | null	Full LinkedIn URL of the advertiser's company or member page. Same rule as advertiserSlug: free on an Advertisers search, needs fetchDetails: true for keyword and pasted-URL searches
paidBy	string | null	Legal entity that paid for the ad. Needs fetchDetails: true, then present on nearly every ad

Detail-page fields

All of these are null unless fetchDetails is switched on. clickUrl and detailPageFetched come back in every country, as do paidBy, videoUrl and the full body covered above. The five marked EU only additionally require LinkedIn to have published its Digital Services Act disclosure for that ad, which it does for EU-served ads and not for US or other non-EU ads. On a measured US search 27.5% of enriched rows carried that disclosure; on an EU search it was 100%.

Field	Type	Description
clickUrl	string | null	External destination the ad links to. Present on ads that point somewhere outside LinkedIn; job, event and follow-company ads keep the user on LinkedIn and return null
firstSeen	string | null	EU only. First date the ad ran, YYYY-MM-DD
lastSeen	string | null	EU only. Last date the ad ran, YYYY-MM-DD, or null if it is still running
impressionsRange	object | null	EU only. Total impressions bucket as {"min": int, "max": int, "label": str}, e.g. {"min": 10000, "max": 20000, "label": "10k-20k"}. The smallest bucket comes back as {"min": 0, "max": 1000, "label": "< 1k"}; an open-ended top bucket has "max": null
impressionsPerCountry	object | null	EU only. Each country's share of the ad's total impressions: {"Germany": {"percent": 62.0, "percentMin": 62.0, "percentMax": 62.0, "label": "62%"}}. percent is the sortable number LinkedIn shows, and label keeps its own wording. LinkedIn groups every country below one percent into a single "less than 1%" bucket that it still reports as 1, so add up percentMin for the lowest possible share and percentMax for the highest — see the tip below
targeting	object | null	EU only. { languages: string[], locations: string[], locationsExcluded: string[], parameters: { "<facet>": {"targeted": bool, "excluded": bool} } }. locations are the regions the advertiser targeted, locationsExcluded the ones they ruled out. Facet keys come from LinkedIn's own labels: Audience, Demographic, Company, Education, Job, Member Interests and Traits
detailPageFetched	boolean	true when the ad's own page was fetched and folded into this row, which is what fills clickUrl, paidBy, videoUrl and the full body. Always false when fetchDetails is off. Filter on this one to find enriched rows
detailsFetched	boolean	true when this ad carried the EU disclosure, so the higher price tier applied. false otherwise, and always false when fetchDetails is off. Note this is narrower than detailPageFetched: a non-EU ad can be fully enriched and still read false here, because LinkedIn publishes no disclosure for it

Run metadata

Field	Type	Description
country	string | null	Reserved for future use, currently always null. LinkedIn does not tag individual ads with a country; the countries input is a search-level filter
query	string	Which of your inputs produced this row, e.g. "keyword: marketing automation", "advertiser: hubspot", "URL: https://..."
scrapedAt	string	ISO-8601 UTC timestamp when the row was captured

Tips for Best Results

Detail mode is worth switching on outside the EU too

The complete ad copy, the destination link, the paying entity and the video file come back in every country. On a US-only test run, detail mode lifted the longest ad body from 121 characters to 2,999 and filled the paying entity on 100% of rows. The EU-only part is the transparency block: dates active, total impressions, per-country impression shares and targeting. That came back on 27.5% of rows in a US search and 100% of rows in an EU one, so set countries to EU markets (DE, FR, NL, ES, IT, BE, PT, SE, DK, FI, PL, AT, IE) when the transparency block is specifically what you are after.

Expect job and message ads to arrive bare

LinkedIn's search results render job ads and message (InMail) ads as a stripped-down card with no headline, no body copy and no creative image, so those three fields come back null. They were 2.2% of rows across eight test searches, and as high as 9.3% on a search dominated by one heavy job-ad advertiser. Filter on format to drop job and message rows if empty text columns would break a downstream pipeline.

Use the slug from the company URL, not the display name

An advertiser search is pinned to one company page, so hubspot returns HubSpot's ads and not the partner agencies with "HubSpot" in their name. That pinning works off the slug in linkedin.com/company/<slug>, so copy it from the URL bar. If a brand can't be pinned the run says so in the log and falls back to a name match for that one advertiser. Set includeRelatedAdvertisers: true when the partner ecosystem is what you actually want to map.

Cast a wider net with several keywords

Results are ranked by relevance, so related terms surface different ads. Try "marketing automation", "marketing platform" and "demand generation" in one run. Rows are deduplicated by ad ID across all your searches, so overlapping terms never cost you twice.

Filter formats after the run

LinkedIn's Ad Library has no format filter, so every run returns all 12 formats. Use the format field to narrow to just videos, just carousels, or just document ads once the data is in. Turn on detail mode for a video-only pull and each row also brings back the video file URL.

Don't add up the country percentages

LinkedIn reports every country below one percent as a single "less than 1%" bucket but still prints it as 1, so a widely served ad can list 140 countries and appear to total 200%. Add up percentMin instead for the smallest share those countries can really represent, and percentMax for the largest. The two together bracket the true split, and they also tell a genuine 1% market apart from a rounding-error one.

Watch the 12-month wall on custom ranges

LinkedIn retains roughly 12 months of ad history. A startDate older than that is pulled forward to the earliest available date, and custom-date-range needs both startDate and endDate to be set.

Size big jobs around the 4,800-ad ceiling

A single search stops at roughly 4,800 ads, as deep as LinkedIn will page one query, so for 10,000 ads or more split a broad term into narrower keyword or date variants rather than raising maxResults. Results also arrive 24 at a time and the last batch is always kept whole, so expect up to 23 rows more than your cap instead of a truncated page.

Pricing

From $0.42 per 1,000 ads. Pay per ad returned, with no compute charges. Switching on detail mode does not move every ad to the higher price: only the ads LinkedIn published its EU transparency disclosure for cost more. On a measured US-only detail run, 27.5% of rows hit the detail price and the other 72.5% stayed at the basic price, so the full ad copy, destination link and paying entity came back on all of them for close to the basic rate. Bronze, Silver and Gold subscribers pay progressively less.

Basic ads — fetchDetails off, or an ad with no EU disclosure

Ads returned	No discount	Bronze	Silver	Gold
100	$0.050	$0.047	$0.045	$0.042
1,000	$0.50	$0.47	$0.45	$0.42
10,000	$5.00	$4.70	$4.50	$4.20
100,000	$50.00	$47.00	$45.00	$42.00

Detail ads — fetchDetails on and the ad carried the EU disclosure

Ads returned	No discount	Bronze	Silver	Gold
100	$0.090	$0.085	$0.080	$0.076
1,000	$0.90	$0.85	$0.80	$0.76
10,000	$9.00	$8.50	$8.00	$7.60
100,000	$90.00	$85.00	$80.00	$76.00

A mixed run is billed ad by ad: each EU-disclosed ad at the detail price, everything else at the basic price. You are never charged the higher price for an ad that came back without the extra data.

Integrations

Export results in JSON, CSV, Excel, XML or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — workflow automation
• Google Sheets — direct spreadsheet export
• Slack / Email — notifications on new results
• Webhooks — push results to your own systems
• Apify REST API — full programmatic access from any backend

Legal & Ethical Use

This actor is built for legitimate market research, competitive intelligence, brand monitoring and ad creative analysis. The data it collects comes from LinkedIn's public Ad Library, a transparency portal LinkedIn publishes for exactly this purpose. You are responsible for complying with applicable laws and LinkedIn's Terms of Service. Do not use the data for spam, harassment, deceptive comparative advertising, or any illegal purpose.