B2B ads & EU transparencySee how other companies advertise to professional audiences. Compare their offers and creative formats, then use the available EU disclosures to research audience and market choices.
Try these examples for marketing, growth and competitor research.
For a SaaS campaign, follow three competitors and tag their ads as demos, webinars, reports or product offers. Compare the promises and calls to action before choosing your next acquisition test.
Keep an offer comparison with ad copy, creative links and your test ideas.
For ads with EU disclosures, review the targeting fields and country impression shares. Record what LinkedIn discloses separately from your assumptions about the intended audience.
Write a brief with source links and keep impression ranges as ranges.
Review a prospect's public ads, creative formats and landing pages. Use examples from those ads to ask about message consistency and campaign objectives.
Prepare a short creative audit with the prospect's own ads as references.
FROM FIRST RUN TO REPEATABLE WORKFLOW
{
"advertisers": ["HubSpot"],
"countries": ["DE"],
"maxAds": 30,
"exactAdvertiserMatch": true,
"scrapeAdDetails": false
}Paste this into the Actor’s JSON input editor. Replace the example targets with yours before running.
Check the current input form on ApifyAdvertiser names and keywords can be combined to narrow a search. You can also reuse a filtered LinkedIn Ad Library URL. Exact advertiser matching is optional, and EU ad-detail fields are richer than those for many other markets.
| Search method | When to use it | What changes |
|---|---|---|
| Advertiser or brand name | When to use itYou have a competitor watchlist. | What changesLinkedIn company names or company-page links. Name matching is loose by default and can include partners or agencies. Enable exactAdvertiserMatch if you want only the named advertiser. |
| Keyword discovery | When to use itYou want to find relevant results before choosing specific targets. | What changesWords in the ad content. With advertisers also provided, every advertiser is searched for every keyword. Without advertisers, the keywords discover ads across companies. |
| Ad Library URLs | When to use itYou already configured the search on the source website. | What changesLinkedIn Ad Library search or detail links. Search URLs keep their own filters. A detail URL retrieves one ad; it is not a company-page URL or a LinkedIn job search. |
Adds payer, CTA, landing links, media and available EU run dates, impression ranges and targeting. One extra request per ad. Outside EU disclosures, some detail fields stay empty.
Compare the related scraperUse the exact field names below in JSON. In Apify’s form, enter list items separately, choose filters, and keep numbers and booleans in their proper types.
Default and prefill are different. A default applies when you omit a setting; a prefill is an example already entered in Apify’s form. Review prefilled targets and limits before every run. Some settings have no schema default. You still need to supply at least one supported target.
advertisersLinkedIn company names or company-page links. Name matching is loose by default and can include partners or agencies. Enable exactAdvertiserMatch if you want only the named advertiser.
keywordsWords in the ad content. With advertisers also provided, every advertiser is searched for every keyword. Without advertisers, the keywords discover ads across companies.
startUrlsLinkedIn Ad Library search or detail links. Search URLs keep their own filters. A detail URL retrieves one ad; it is not a company-page URL or a LinkedIn job search.
countriesCountries where ads were shown. Codes, names and groups such as EU or DACH are accepted. Several countries form a union, not a separate row for each country; EU detail disclosures vary by ad.
dateRangeChoose a preset or custom-date-range. The latter uses startDate and endDate. These describe the ad’s run period, not when you collected the record.
all-time last-30-days current-month current-year last-year custom-date-rangestartDateBeginning of a custom range, preferably YYYY-MM-DD. Supplying a custom date activates a custom-range search; use the matching dateRange value in copyable configurations for clarity.
endDateEnd of the custom range. Use YYYY-MM-DD or a supported relative date such as today. Keep the same window when comparing several advertisers.
sortBynewest starts with recent ads; oldest starts at the other end. With maxAds or maxAdsPerSearch, this changes the slice you see first, not the size of the archive.
newest oldestexactAdvertiserMatchKeeps advertiser names matching the search after ignoring case and punctuation. Use for a brand-only audit. It can exclude subsidiaries with different legal names, so check sample results first.
maxAdsA hard cap on unique ads across the whole run, including all targets and markets. Start with 50. Leaving it empty removes this cap; a broad search can then become much larger.
maxAdsPerSearchCap each advertiser-keyword search separately. Pair with maxAds to stop one large advertiser from consuming the whole run. The global cap still wins if reached first.
scrapeAdDetailsAdds payer, CTA, landing links, media and available EU run dates, impression ranges and targeting. One extra request per ad. Outside EU disclosures, some detail fields stay empty.
maxConcurrency1-10 advertiser or keyword searches in parallel. Each search uses its own proxy sessions. Without a usable proxy, requests are paced one at a time.
detailConcurrency1-10 detail requests in parallel within each search. This is separate from maxConcurrency. Increasing both multiplies simultaneous work and proxy demand; keep the defaults for a first run.
proxyConfigurationA proxy spreads LinkedIn’s per-IP rate limit across sessions. Residential exits are generally more reliable than datacenter. If blocked, lower concurrency and check proxy availability rather than only retrying faster.
proxyRotationsRetries refused work with a new proxy session. More retries can recover temporary blocks but add time and traffic. Keep the default until the log shows a reason to change it.
resumeSaves progress about every 30 seconds so an Apify restart or migration can continue the current run. Leave it on for normal use.
continueFromLastRunContinues unfinished work from the previous run with matching input. Earlier results remain in that run’s dataset. Keep false for a fresh collection or a recurring snapshot.
This reference follows the Actor’s published input fields. Check the live form before changing a production workflow. Check the current input form on Apify.
Each example is a separate run. Start small, inspect the results, then increase coverage. Update the targets, countries and dates to match your question.
Collect the last 30 days for one exact advertiser in Germany, including ad details. Keep the payer and available impression fields with source links. Missing fields remain missing; do not fill them with assumed values.
{
"advertisers": ["HubSpot"],
"countries": ["DE"],
"dateRange": "last-30-days",
"exactAdvertiserMatch": true,
"maxAds": 50,
"scrapeAdDetails": true
}Search three topics across the EU without advertiser restrictions. Each search gets at most 25 ads, so this configuration can yield up to 75 unique ads even though the global cap is 100. Overlap can reduce that total further.
{
"keywords": ["marketing automation", "sales CRM", "lead generation"],
"countries": ["EU"],
"maxAds": 100,
"maxAdsPerSearch": 25,
"scrapeAdDetails": false
}Compare two advertisers in Germany and France during September 2026. Countries form a combined search filter. Change the dates, inspect loose advertiser matches and use the per-search cap to stop one brand dominating the sample.
{
"advertisers": ["HubSpot", "Salesforce"],
"countries": ["DE", "FR"],
"dateRange": "custom-date-range",
"startDate": "2026-09-01",
"endDate": "2026-09-30",
"maxAds": 100,
"maxAdsPerSearch": 50,
"exactAdvertiserMatch": false,
"scrapeAdDetails": true
}Keep ad IDs and advertiser names alongside creative text, source links and available detail fields. EU details can include payer, impressions by country and targeting; other markets often expose less. Use nested JSON as the source record, flatten selected fields for reporting and treat missing values separately from zero.
resume protects the current run if Apify restarts it. continueFromLastRun continues an earlier run with the same configuration; earlier records stay in the earlier dataset. Combine both datasets for the complete collection, and raise a previously reached result cap when continuing. Start fresh when you want to see what changed today.
Save one configuration above as input.json. Set APIFY_TOKEN to your Apify API token in your terminal, then send the file as the request body.
curl --fail-with-body --request POST \
--url "https://api.apify.com/v2/actors/jmlp~linkedin-ad-library-scraper/runs" \
--header "Authorization: Bearer $APIFY_TOKEN" \
--header "Content-Type: application/json" \
--data-binary @input.jsonThe response contains a run ID and defaultDatasetId, not finished results. Wait for the run to succeed, set DATASET_ID to that dataset ID, then fetch its items. For large datasets, use limit and offset to page through the export.
curl --fail-with-body \
--url "https://api.apify.com/v2/datasets/$DATASET_ID/items?format=json" \
--header "Authorization: Bearer $APIFY_TOKEN"Change one setting at a time, keep a small cap, and check the run summary before scaling up.
Keeps advertiser names matching the search after ignoring case and punctuation. Use for a brand-only audit. It can exclude subsidiaries with different legal names, so check sample results first.
Adds payer, CTA, landing links, media and available EU run dates, impression ranges and targeting. One extra request per ad. Outside EU disclosures, some detail fields stay empty.
A proxy spreads LinkedIn’s per-IP rate limit across sessions. Residential exits are generally more reliable than datacenter. If blocked, lower concurrency and check proxy availability rather than only retrying faster.
Success means the Actor finished handling the request, not that the source returned data. Check SUMMARY.inputProblem, SUMMARY.problem and the log for missing targets, unsupported filters or refused requests. Test one known target with fewer filters.
Check the global limit, per-search or per-page limits, platform coverage and deduplication. Several searches can find the same record. A source’s headline count can include records the public endpoint does not return. Review unfinished jobs before treating the dataset as complete.
Append ad_id, advertiser_name, format, headline, CTA and landing link. Add offer categories and review notes. Keep impression ranges as text and country shares in separate fields.
Read the setupAsk Claude to group the offers and summarize published targeting disclosures, citing ad_library_url. Have it separate audience guesses from the fields in the source.
Read the setupCompare creative formats and offers by advertiser. Show impression lower and upper bounds as ranges, and add an EU-data filter to the report.
Read the setupKeep dated observations keyed by ad_id. Put country impression shares and carousel cards in child tables, and store payer identity separately from advertiser identity.
Read the setup
Inspect jmlp/linkedin-ad-library-scraper, then collect up to 50 HubSpot ads in DE with details and exact advertiser matching. Group offers and CTAs, cite ad_library_url, and summarize only the targeting and impression disclosures actually present. Do not infer spend or conversions.Keep the collection time and original IDs with your records. You’ll need them to check where a result came from or compare it with a later run.
LinkedIn publishes dates, impression ranges and targeting disclosures for ads delivered in the EU; other records may lack them. A targeting flag doesn't give you every exact audience value. Name matches can include agencies or partners unless you enable exactAdvertiserMatch. Impression figures don't tell you conversions or spend.
No. This Actor reads the public LinkedIn Ad Library. You need an Apify account to run it, but no LinkedIn login or session cookie.
LinkedIn publishes those disclosures for ads shown in the EU. Check shown_in_eu and whether detailed collection was enabled before treating missing values as meaningful.
Source and current product details: JMLP’s LinkedIn Ad Library Actor on Apify.
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