Are there archived screenshots of Donald Trump's Truth Social posts?

1. How a live scraping project created a machine-readable historical record — and then stopped updating

A GitHub project built to scrape and store President Trump’s Truth Social posts ran automated tasks that saved post text, metadata and media links into JSON and CSV files and mirrored them to an S3 archive; the project was designed to run hourly and therefore created a fine‑grained machine‑readable historical record while active. The repository and its documentation explain the data fields captured — post ID, timestamp, content, media references and engagement counts — and the project framed itself as an archival/research resource rather than a commercial product. Crucially, the automated workflow that kept this archive current was disabled on October 26, 2025, meaning the dataset captures history up to that point but will not be updated automatically going forward unless reactivated or forked ^[1].

2. Where visual evidence — screenshots or images — show up and what’s missing

Some archival outputs provide media links and references to images attached to posts, but that is distinct from durable screenshot files preserved on the archive host. The GitHub/S3 approach stored media metadata and referenced media items, which can serve as proof of content when the media remains hosted or archived; however, the project’s outputs were primarily JSON/CSV snapshots rather than a curated gallery of image screenshots. Separately, an independent site that summarizes Trump’s Truth Social activity includes dated summaries and may include embedded images or screenshots in its posts, but its role is more editorial and selective rather than a comprehensive forensic archive. Therefore screenshots exist in places, but there is no single authoritative, continuously updated screenshot repository across these sources ^{[1] [2]}.

3. The “Social Media Archive” interface: promise of search, reality of gaps

A separate “Donald Trump: Social Media Archive” platform advertises cross‑platform search and filtering including Truth Social and offers options to view images, yet a query snapshot shows “No results found” in at least one instance. That indicates the interface has indexing capability but is either incomplete, offline for the queried range, or limited by access or policy constraints. The user experience therefore demonstrates that tools claiming archive coverage can be functional but not comprehensive, and researchers should verify coverage windows and export capabilities rather than assume full capture ^[3].

4. Divergent purposes: automated archives, editorial aggregators, and their agendas

Different archival projects have distinct goals and incentives: the GitHub scraper emphasized technical completeness and automated capture for research use, while the editorial site curated posts with commentary and selective snapshots that fit a publication rhythm. Each approach implies potential bias or limitation: automated scrapers can miss content if the source changes or workflows halt, and editorial sites may highlight salient posts and omit others. Users should treat the automated JSON/CSV archives as data artifacts useful for analysis and editorial aggregations as narrative records useful for context, recognizing neither is a neutral, exhaustive screenshot library ^{[1] [2]}.

5. Practical guidance: where to look and how to evaluate what you find

Search the GitHub repository and its S3 outputs for machine‑readable archives and media references to retrieve historical posts up to October 26, 2025, but verify timestamps and check whether media files remain accessible; consult the editorial site for post summaries and possible embedded images for the October 19–26, 2025 window if you need human‑readable context. Use the Social Media Archive interface to test search filters but confirm that returned results match other sources, because no single source currently guarantees comprehensive, continually updated screenshot preservation ^{[1] [2] [3]}.