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 Pennsylvania
500 pages · $6.7M on Pennsylvania races
Dem. 65% · Rep. 31% · no side 4.0%
11 pages · 1,405 ads · $437.4K
| # | Page | Type | Side | Race | Result | Ads | Spend | In PA | Impressions | Attack | Last ad |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Philadelphia InquirerPaid for by PHILADELPHIA INQUIRER PBC | Media | None | None | 223 | $50.4K | $12.7K | ~4.5M | 18% | 22 Oct | |
| 2 | Zachary Petrakovich | Media | None | None | 34 | $1.7K | $594 | ~52.9K | 5.9% | 26 Oct | |
| 3 | AxiosPaid for by AXIOS MEDIA INC. | Media | None | None | 42 | $28.2K | $450 | ~1.5M | 7.3% | 14 Oct | |
| 4 | Matt WalshPaid for by The Daily Wire | Media | None | None | 388 | $172.1K | $297 | ~8.2M | 96% | 26 Oct | |
| 5 | Spotlight PA | Media | None | None | 28 | $6.7K | $297 | ~508.6K | 11% | 26 Oct | |
| 6 | 90.5 WESA | Media | None | None | 54 | $7.8K | $249 | ~632.3K | 17% | 21 Oct | |
| 7 | Punchbowl News | Media | None | None | 537 | $164.6K | $99 | ~4.1M | 17% | 26 Oct | |
| 8 | America PeriodPaid for by AMERICA PERIOD, LLC. | Media | None | None | 53 | $2.6K | $99 | ~54.4K | 72% | 20 Oct | |
| 9 | Inside Political MoneyPaid for by INSIDE PHILANTHROPY INC | Media | None | None | 41 | $3.1K | $50 | ~263.1K | 7.3% | 14 Oct | |
| 10 | North Penn NowPaid for by Broad and Liberty Inc | Media | None | None | 4 | $198 | $50 | ~16K | 26 Oct | ||
| 11 | Reading RecapPaid for by Reading Recap LLC | Media | None | Ballot measure, PA | 1 | $50 | $50 | ~1.5K | 18 Oct |
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.