Extract ADS or INSIGHTS from a search url on google ads transparency website. From adstransparency.google.com get data about advertisers, regions, ADS, spend per advertisers / regions and more. Details on information page. Extract and analyze data from Google's Ads Transparency Center.
Extract ADS or INSIGHTS from a search url on google ads transparency website. From adstransparency.google.com get data about advertisers, regions, ADS, spend per advertisers / regions and more.
Batch ads : contains specific ad url; one per line Start url : contains 1 search url
If "batch ads" is provided, it takes priority on start url (start url is ignored)
input type: ADS
Advertiser ID
Advertiser name
Ad ID
Ad type
Ad start date
Ad end date
Ad number of days running
List of visible countries
Image link
Ad spend range
Ad impressions range
Ad spend currency
Ad url
ad impressions availability date (when no impressions numbers available yet)
input type: INSIGHTS
Total ads
Total ads spend
Currency
Advertisers
Regions
TEXT ad spend number percentage ratio of total ad spend
TEXT ad spend number
TEXT ad number percentage ratio of total ads
TEXT ads number
IMAGE ad spend number percentage ratio of total ad spend
IMAGE ad spend number
IMAGE ad number percentage ratio of total ads
IMAGE ads number
VIDEO ad spend number percentage ratio of total ad spend
VIDEO ad spend number
VIDEO ad number percentage ratio of total ads
VIDEO ads number
Ads object
All Insights object
Advertisers Insights object
Regions Insights object
Ads object
1[{ 2 "ad_advertiser_id": "AR12051724274625413121", 3 "ad_advertiser_name": "Mary Peltola for Alaska", 4 "ad_id": "CR18438859991222845441", 5 "ad_type": "image", 6 "ad_start_date": "1722473998", 7 "ad_end_date": "1723548413", 8 "ad_number_days_running": 14, 9 "ad_visible_countries": [ 10 "US" 11 ], 12 "ad_image_link": "https://tpc.googlesyndication.com/archive/simgad/13664241309647767647", 13 "ad_spend_range": "0-100", 14 "ad_impressions_range": "2000-3000", 15 "ad_spend_currency": "USD", 16 "ad_url": "https://adstransparency.google.com/advertiser/AR12051724274625413121/creative/CR18438859991222845441/" 17}, 18{ 19 "ad_advertiser_id": "AR07109796124864544769", 20 "ad_advertiser_name": "WinSenate", 21 "ad_id": "CR18434134290246664193", 22 "ad_type": "video", 23 "ad_start_date": "1722644263", 24 "ad_end_date": "1723543208", 25 "ad_number_days_running": 12, 26 "ad_visible_countries": [ 27 "US" 28 ], 29 "ad_image_link": "", 30 "ad_spend_range": "2500-3000", 31 "ad_impressions_range": "70000-80000", 32 "ad_spend_currency": "USD", 33 "ad_url": "https://adstransparency.google.com/advertiser/AR07109796124864544769/creative/CR18434134290246664193/" 34}, 35{ 36 "ad_advertiser_id": "AR09169555100203483137", 37 "ad_advertiser_name": "Friends of Janelle Stelson", 38 "ad_id": "CR18433459533704593409", 39 "ad_type": "text", 40 "ad_start_date": "1696981941", 41 "ad_end_date": "1723553578", 42 "ad_number_days_running": 69, 43 "ad_visible_countries": [ 44 "US" 45 ], 46 "ad_image_link": "https://tpc.googlesyndication.com/archive/simgad/12573165053427247794", 47 "ad_spend_range": "1000-1500", 48 "ad_impressions_range": "4000-5000", 49 "ad_spend_currency": "USD", 50 "ad_url": "https://adstransparency.google.com/advertiser/AR09169555100203483137/creative/CR18433459533704593409/" 51}, 52...]
All Insights object
1[{ 2 "insights_total_ads": "842213", 3 "insights_total_ads_spend": "1474676100", 4 "insights_total_ads_spend_currency": "USD", 5 "insights_advertisers":[{ 6 "advertiser_name": "BIDEN FOR PRESIDENT", 7 "advertiser_id": "AR12365610929977556993", 8 "advertiser_adspend": 101352691, 9 "advertiser_adspend_percent_of_total": 0.06872878151119038, 10 "advertiser_country": "US", 11 "advertiser_country_name": "United States", 12 "advertiser_country_id": 2840 13 }, 14 { 15 "advertiser_name": "DONALD J. TRUMP FOR PRESIDENT, INC.", 16 "advertiser_id": "AR11825178974693097473", 17 "advertiser_adspend": 83425191, 18 "advertiser_adspend_percent_of_total": 0.05657187455579022, 19 "advertiser_country": "US", 20 "advertiser_country_name": "United States", 21 "advertiser_country_id": 2840 22 }, 23 ...], 24 "insights_regions": [{ 25 "region_id": 2016, 26 "region_name": "American Samoa", 27 "region_country_id": 2840, 28 "region_adspend_percent_of_total": 0.0000017328824101275986, 29 "region_adspend": 2555, 30 "region_ads_percent_of_total": 0.0026097911098498837, 31 "region_ads": 2198 32 }, 33 { 34 "region_id": 2316, 35 "region_name": "Guam", 36 "region_country_id": 2840, 37 "region_adspend_percent_of_total": 0.000001186292696657206, 38 "region_adspend": 1749, 39 "region_ads_percent_of_total": 0.0055425409011734565, 40 "region_ads": 4668 41 }, 42 ...], 43 "insights_text_adspend_percent_of_total": 0.2602584875736296, 44 "insights_text_adspend": 383796971, 45 "insights_image_adspend_percent_of_total": 0.0792972948807239, 46 "insights_image_adspend": 116937825, 47 "insights_video_adspend_percent_of_total": 0.6604442175456464, 48 "insights_video_adspend": 973941302, 49 "insights_text_ads_percent_of_total": 0.23062218227455525, 50 "insights_text_ads": 194233, 51 "insights_image_ads_percent_of_total": 0.3274397331791364, 52 "insights_image_ads": 275774, 53 "insights_video_ads_percent_of_total": 0.44193808454630834, 54 "insights_video_ads": 372206 55}]
Advertisers Insights object
1[{ 2 "advertiser_name": "BIDEN FOR PRESIDENT", 3 "advertiser_id": "AR12365610929977556993", 4 "advertiser_adspend": 101352691, 5 "advertiser_adspend_percent_of_total": 0.06872878151119038, 6 "advertiser_country": "US", 7 "advertiser_country_name": "United States", 8 "advertiser_country_id": 2840 9}, 10{ 11 "advertiser_name": "DONALD J. TRUMP FOR PRESIDENT, INC.", 12 "advertiser_id": "AR11825178974693097473", 13 "advertiser_adspend": 83425191, 14 "advertiser_adspend_percent_of_total": 0.05657187455579022, 15 "advertiser_country": "US", 16 "advertiser_country_name": "United States", 17 "advertiser_country_id": 2840 18}, 19...]
Regions Insights object
1[{ 2 "region_id": 2016, 3 "region_name": "American Samoa", 4 "region_country_id": 2840, 5 "region_adspend_percent_of_total": 0.0000017328824101275986, 6 "region_adspend": 2555, 7 "region_ads_percent_of_total": 0.0026097911098498837, 8 "region_ads": 2198 9}, 10{ 11 "region_id": 2316, 12 "region_name": "Guam", 13 "region_country_id": 2840, 14 "region_adspend_percent_of_total": 0.000001186292696657206, 15 "region_adspend": 1749, 16 "region_ads_percent_of_total": 0.0055425409011734565, 17 "region_ads": 4668 18}, 19...]
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No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!