Call the Google Ads Transparency Center Scraper from Python with the official apify-client.
pip install apify-clientfrom apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("logiover/google-ads-transparency-scraper").call(run_input={
"mode": "domain",
"domains": ["nike.com", "adidas.com", "puma.com"],
"regions": ["US", "DE"],
"creativeFormats": ["IMAGE", "VIDEO"],
"maxAds": 300,
"enrichDetails": True,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Fetched {len(items)} ads")
for ad in items:
print(f'{ad["advertiserName"]} · {ad["format"]}/{ad["surface"]} · '
f'{ad.get("firstShown")}→{ad.get("lastShown")}')
print(f' creative: {ad.get("previewUrl")}')import pandas as pd
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("logiover/google-ads-transparency-scraper").call(run_input={
"mode": "advertiser-name",
"advertiserNames": ["Spotify", "Netflix"],
"regions": ["GB"],
"maxAds": 200,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
df = pd.DataFrame(items)
print(df[["advertiserName", "format", "surface", "firstShown", "lastShown"]].head())
df.to_csv("competitor_ads.csv", index=False)import requests
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("logiover/google-ads-transparency-scraper").call(run_input={
"mode": "domain",
"domains": ["nike.com"],
"creativeFormats": ["IMAGE"],
"maxAds": 50,
})
for ad in client.dataset(run["defaultDatasetId"]).iterate_items():
if ad.get("imageUrl"):
img = requests.get(ad["imageUrl"]).content
with open(f'swipe-{ad["adId"]}.png', "wb") as f:
f.write(img)📄 Documentation only.