United States 2026 · Data
Every political advertiser
The 24,034 Facebook and Instagram pages that ran a domestic political ad paid in dollars from 4 May 2026, from Meta’s archive as pulled on 4 November 2026. Every page links to its own Vipima page, with its weekly spend, tone and costliest ads, and from there to Meta’s Ad Library; a party’s or candidate’s page links to that party or candidate.
Download every row as CSV · Browse by state on the map
Filtered to Arizona
486 pages · $10M on Arizona races
Dem. 35% · Rep. 50% · no side 15%
11 pages · 142 ads · $48.6K
| # | Page | Type | Side | Race | Result | Ads | Spend | In AZ | Impressions | Attack | Last ad |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Michelle Ugenti-Rita | Candidate | Rep. | Local, AZ | 47 | $16.3K | $16.3K | ~666.2K | 51% | 22 Oct | |
| 2 | Jeff WeningerPaid for by Jeff for Chandler | Candidate | Rep. | Local, AZ | 18 | $13K | $13K | ~1M | 17% | 20 Jul | |
| 3 | J.D. MesnardPaid for by JD FOR JUSTICE | Candidate | Rep. | Local, AZ | 26 | $4.3K | $4.3K | ~303.1K | 0.0% | 26 Oct | |
| 4 | Keep Scottsdale Special | Group | Rep. | Local, AZ | 3 | $4K | $4K | ~225K | 28 Sep | ||
| 5 | Jan Dubauskas | Candidate | Rep. | Local, AZ | 15 | $5.7K | $3.1K | ~352.5K | 0.0% | 1 Sep | |
| 6 | Taber for Mayor | Candidate | Rep. | Local, AZ | 1 | $1.2K | $1.2K | ~65K | 8 May | ||
| 7 | Grand Canyon TimesPaid for by Metric Media LLC | Network page | Rep. | Local, AZ | 16 | $1.4K | $1.1K | ~38.6K | 31% | 26 Oct | |
| 8 | Liz Feria for Justice of the Peace | Candidate | Rep. | Local | 7 | $1.6K | $699 | ~88.5K | 0.0% | 8 Jul | |
| 9 | Sam Harrison For Constable Paid for by Sam Harrison for Constable | Candidate | Rep. | Local | 6 | $797 | $349 | ~210K | 0.0% | 16 Aug | |
| 10 | Fletcher Media | Group | Rep. | Local, AZ | 2 | $99 | $50 | ~25K | 12 May | ||
| 11 | Marie Moore for Yavapai County Supervisor, District 2 | Candidate | Rep. | Local, AZ | 1 | $50 | $50 | ~9.5K | 9 Jul |
Spend and impressions are midpoints of Meta’s ranges, impressions capped at “1M+” per ad. Type, side and race come from a model reading each ad; a page shows the side and race most of its spend went to. Attack is the share of a page’s classified ads that attack a named opponent, shown from five ads. See the methodology.