See a Competitor's TikTok Ad Targeting and Reach in the EU

When a competitor pushes on TikTok in Europe, the questions are always the same: who are they aiming at, which interests did they pick, and how many people did each ad reach? TikTok publishes the answers in its public Ad Library, because the EU Digital Services Act requires it. But the library shows one ad at a time, with the targeting tucked inside a detail view, so reading 200 ads means an afternoon of clicking and copying into a sheet.

Try it live: TikTok Ads Library Scraper: EU Ads, Targeting and Reach. Pay per result delivered. Failed and empty results are never charged.

The TikTok Ads Library Scraper reads the same library without a login and returns each ad’s detail record as one row, so a competitor’s targeting history turns into a table you can sort and count.

What you get and who it is for

With details on, every ad carries the targeting the advertiser chose and the reach TikTok recorded:

Field	What it tells you
target_interests	Interest categories the advertiser picked, such as Men’s Shoes or Coffee
target_age_groups, target_genders	The age bands and genders the ad was aimed at
target_countries, target_audience_size	Where it was aimed, and TikTok’s estimate of that audience
custom_audience, audience_exclusion	Whether the advertiser used its own lists to include or exclude people
unique_users_by_country	Unique users reached per country, split by age group and gender
objective, paid_for_by	The campaign goal, and who paid for the ad
first_shown_date, last_shown_date	When the ad ran

This is for performance marketers planning a launch against an incumbent, agencies preparing a pitch that starts with “here is what your competitor targets”, and researchers who study how ads are aimed. You get the targeting as the advertiser filed it, not a guess from the creative. Targeting shows who a rival is buying now; their job ads show what they are building for next year.

The input

{
  "advertisers": ["adidas AG | 6885261436319171329"],
  "dateFrom": "2026-07-01",
  "dateTo": "2026-09-30",
  "includeDetails": true,
  "maxAdsPerSearch": 200
}

• advertisers takes the name exactly as the library shows it. With just adidas AG, the actor looks the name up and runs one search for each matching account (the library knows both Adidas AG and adidas AG). The name | id form pins one account; copy the id from the advertiser_id of any earlier row.
• includeDetails is on by default, and this job depends on it. Targeting, reach by country, objective and paid for by all come from the detail record. With it off you get the list fields only.
• countries is left out, which means every covered country. Add codes such as ["DE", "FR"] to narrow it.
• dateFrom and dateTo set the window the ads were shown in. Leave both empty for the last 365 days. The library does not accept a start date before August 1, 2023.
• maxAdsPerSearch runs from 20 to 5,000 per search line.

What the output looks like

[
  {
    "ad_id": "1871321576463745",
    "ad_url": "https://library.tiktok.com/ads/detail/?ad_id=1871321576463745",
    "advertiser_name": "adidas AG",
    "advertiser_id": "6885261436319171329",
    "advertiser_registered_in": "United Kingdom",
    "paid_for_by": "PHD INTERNATIONAL LIMITED",
    "ad_text": "adidas Hyperboost Euphoria",
    "objective": "Video views",
    "first_shown_date": "2026-07-30",
    "last_shown_date": "2026-08-19",
    "days_shown": 21,
    "unique_users_seen": "1M-10M",
    "target_countries": ["DE"],
    "target_age_groups": ["18-24"],
    "target_genders": ["female", "male", "unknown"],
    "target_audience_size": "2.5M-3.0M",
    "target_interests": ["Men's Shoes", "Women's Shoes", "Exercise & Fitness", "Coffee", "Gaming Devices", "Music", "Online Shopping"],
    "target_creator_interactions": ["Fashion & Beauty", "Pop Culture"],
    "custom_audience": false,
    "audience_exclusion": false
  },
  {
    "ad_id": "1871956776949922",
    "advertiser_name": "adidas AG",
    "objective": "Reach",
    "unique_users_seen": "300K-400K",
    "unique_users_by_country": [
      {
        "country": "DE",
        "unique_users": "320K",
        "by_age_gender": [
          { "age": "18-24", "gender": "male", "unique_users": "124K" },
          { "age": "18-24", "gender": "female", "unique_users": "197K" }
        ]
      }
    ],
    "target_age_groups": ["18-24"],
    "target_audience_size": "4.3M-5.3M",
    "target_interests": [],
    "custom_audience": false
  }
]

Both rows come from our run on October 6, 2026, which searched the keyword adidas in Germany rather than the advertiser name, so read them as a sample of the fields you get. Of the 20 ads in that run, 17 were from adidas AG, all for the Hyperboost Euphoria campaign, all aimed only at 18 to 24 year olds in Germany, and all paid for by PHD INTERNATIONAL LIMITED rather than by adidas AG itself.

The split is the useful part. Nine of the 17 had the objective Video views and named the same 17 interests, from Men’s Shoes and Exercise & Fitness to Coffee and Gaming Devices, for an estimated audience of 2.5M to 3.0M. The other eight had the objective Reach, named no interests at all and went to a broader 4.3M to 5.3M audience. On the Reach row above, Germany shows 197K women and 124K men reached.

Run it in Apify Console

1. Open https://apify.com/themineworks/tiktok-ads-library-scraper and click Try for free.
2. Clear the prefilled Search terms (keywords or advertiser names) field, then in Advertisers (exact names) enter the competitor, one name per line.
3. Leave Include details and targeting ticked.
4. Set Shown from (YYYY-MM-DD), Shown until (YYYY-MM-DD) and Max ads per search.
5. Click Start and watch the Output tab. With details on, expect about 1.4 seconds per ad.
6. Click Export and choose CSV, JSON or Excel. Nested fields such as unique_users_by_country become columns in CSV and Excel.

If a name returns nothing, the run summary lists the closest advertiser names the library knows. Copy one of those and run again; an unknown name costs nothing.

Run it from Python

pip install apify-client

import csv
from collections import Counter
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("themineworks/tiktok-ads-library-scraper").call(run_input={
    "advertisers": ["adidas AG | 6885261436319171329"],
    "dateFrom": "2026-07-01",
    "dateTo": "2026-09-30",
    "includeDetails": True,
    "maxAdsPerSearch": 200,
})

ads = []
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    if item.get("_type") == "info":
        continue  # the run summary row, never billed
    ads.append(item)

objectives = Counter(ad.get("objective") for ad in ads)
ages = Counter(a for ad in ads for a in ad.get("target_age_groups") or [])
interests = Counter(i for ad in ads for i in ad.get("target_interests") or [])
countries = Counter(c["country"] for ad in ads for c in ad.get("unique_users_by_country") or [])

print(f"{len(ads)} ads")
print("objectives:", objectives.most_common())
print("age groups:", ages.most_common())
print("top interests:", interests.most_common(15))
print("ads per country reached:", countries.most_common(10))

fields = ["ad_id", "ad_url", "objective", "paid_for_by", "first_shown_date",
          "last_shown_date", "unique_users_seen", "target_countries",
          "target_age_groups", "target_audience_size", "target_interests",
          "custom_audience"]
with open("competitor_tiktok_targeting.csv", "w", newline="", encoding="utf-8") as f:
    writer = csv.DictWriter(f, fieldnames=fields, extrasaction="ignore")
    writer.writeheader()
    for ad in ads:
        row = dict(ad)
        for key in ("target_countries", "target_age_groups", "target_interests"):
            row[key] = "; ".join(ad.get(key) or [])
        writer.writerow(row)

The interest counter is the quickest read on positioning: which categories the competitor buys into every time, and which ads go out with no interests at all. The CSV keeps one ad per line for anyone who wants to filter by objective or date in a sheet.

Run it every week

Save the input as a task in Apify Console, open Schedules, create a schedule with a cron expression such as 0 7 * * 1 (Mondays at 07:00) and add the task. For a schedule, drop dateFrom and dateTo and tick Only new ads (for schedules), the onlyNewAds field. Each run then returns, and charges, only ads that no earlier run delivered to you. In the actor’s own test, a second run skipped the 20 ads of the first and returned 20 others.

From there, send each run’s dataset to a Google Sheet with Apify’s Google Sheets integration, post new ads to Slack through Make, Zapier or n8n, or have a webhook call your own endpoint when the run finishes.

What it costs

The price is per ad delivered, and it is the same with details on or off: $1.69 per 1,000 ads on the Bronze plan, $1.39 on Silver, and $1.09 on Gold, Platinum and Diamond. Every run also has a flat $0.005 start fee.

A one-off pull of 200 ads for one competitor costs about $0.34 on Bronze plus $0.005. A weekly watch on three competitors that each launch 50 new ads a week comes to about 600 ads a month: about $1.01 on Bronze plus $0.02 in start fees. Ads seen twice in a run, ads an earlier run already sent when onlyNewAds is on, ads whose details TikTok will not serve and unknown advertiser names are never charged.

Limits worth knowing

• Coverage is Europe only. The library holds ads shown in the EU and EEA, Switzerland, the United Kingdom and Turkey. A campaign that ran only in the United States is not there.
• Interests appear only when the advertiser used them. The eight Reach ads above named none. In the actor’s 120-ad proof run, 17 ads named interests.
• Reach is rounded and sometimes hidden. Totals are bands such as 1M-10M, per-country counts are rounded (320K), and the library hides small numbers. Our all-country run for adidas on October 7, 2026 returned 17 ads from the Turkish adidas company with no reach figure and no country breakdown.
• Details take time. Each detail record is a separate request, about 1.4 seconds per ad. An ad whose details TikTok will not serve after six tries is left out and not charged, and five such ads in a row stop the run.
• Media links expire. Video and image links are signed and stop working after some hours, so download creative soon after the run. The ad_url link does not expire.

Related

• Find the Highest-Reach TikTok Ads in Any EU Country
• How to Scrape the Meta Ad Library in Python
• How to Build a Competitor Intelligence System Using Web Scrapers
• TikTok Ads Library Scraper