Meta Content Library
Meta Content Library is a controlled-access tool that lets approved academic and non-profit researchers search the full public archive of Facebook, Instagram, and Threads posts, in near-real-time.
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Meta Content Library is a controlled-access tool that lets approved academic and non-profit researchers search the full public archive of Facebook, Instagram, and Threads posts, in near-real-time.
Last updated
Was this helpful?
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https://transparency.meta.com/researchtools/meta-content-library/\
(as of the most recent update from July 31st, 2025)
The Meta Content Library is a research tool that provides vetted academic and non-profit researchers with access to public posts from Facebook, Instagram, and Threads. It enables near real-time and historical analysis of social media content, facilitating studies on political discourse, public health trends, misinformation, and other topics. (Replaces deprecated CrowdTangle for research at scale; the only Meta-sanctioned source that exposes view-count (“exposure”) data.)
The platform features:
User Interface (UI): A web-based dashboard for content search and filtering.
API Access: Programmatic access for large-scale queries (Python or R via ICPSR's secure Virtual Data Enclave).
Asynchronous search: the API supports background queries, letting users run large queries and monitor progress separately
, the Library includes all public Threads posts that meet the 1 k-follower rule; engagement metrics and OCR text-in-image search work for Threads too. Meta’s update shows the library now covers more surfaces, including Facebook Marketplace listings, Facebook and Instagram fundraisers, story highlights and gaming videos.
– the web UI lets users build dashboards based on keywords and producer lists and allows team collaboration and auto‑refresh
Search‐in‑images: text‑in‑image search covers approximately the last 180 days (previously ~90) and supports story highlights
Advanced Filtering: Keyword searches, engagement metrics, date ranges, and language filters.
A verified‑filter allows users to restrict searches to verified, unverified or all accounts across Facebook, Instagram and Threads
Comment‑text search and sorting – researchers can search within the comments of a Facebook/Instagram post or Threads reply and filter by date
Engagement Insights: View counts, reactions, shares, and comments with hashed user IDs.
Historical Data: Access dating back to Facebook's launch (2004), with updates in near real-time.
Downloads: Available for accounts meeting the "widely known" criteria (e.g., Facebook Pages with ≥15,000 followers, Instagram accounts with a verified badge or ≥1,000 followers, Threads public profiles ≥ 1 000 followers). CSV export is only for Facebook & Instagram posts that meet the “widely-known” criteria; Threads is UI-only for now.
Privacy Protection: Content is subject to deletion/privacy settings, ensuring ethical use.
Moderate difficulty: The UI is user-friendly, but API access requires coding knowledge and data analysis skills.
Researchers must be affiliated with an academic or non-profit institution.
Applications are vetted by the Inter-university Consortium for Political and Social Research (ICPSR).
No IRB approval required, but applicants must submit a research agenda.
User interface access is available upon approval; API access requires a separate credential, which requires additional documentation (research proposal approved by your IRB) and access via Amazon WorkSpaces Secure Browser. No raw-file download from the API; analysis must stay inside the VDE.
Restricted Access: Only available to approved researchers (not the general public).
Data Privacy: Deleted/private posts become unavailable; raw data cannot be exported from the API.
Query Limits: API access has a weekly cap of 500,000 retrieved content items.
Replication Challenges: Due to content deletion or privacy changes, perfect replication of results can be difficult.
No Personal Identifiers: User data is unless the account is a public entity.
: Researchers must delete data older than 180 days that is no longer in the library.
Privacy Compliance: Researchers must respect data privacy and ethical standards.
No User Tracking: The platform does not allow longitudinal tracking of individuals.
Use Limitations: Data cannot be used for surveillance or commercial purposes.
Official Documentation: Meta Transparency Center
ICPSR Social Media Archive: https://www.icpsr.umich.edu/
"Public Data Access Programs: A First Look" is a comprehensive evaluation by Hickey, Dowling, Navia, and Pershan (2024, Mozilla Foundation). The study assesses how major platforms, including Meta, provide researchers access to public data under the Digital Services Act, with a focus on usability, transparency, and technical limitations. It highlights the platform's dual-access approach via a user-friendly dashboard and API while also noting challenges such as data consistency and limited documentation that can affect replicability and broader research applications.
In this two-part webinar series, led by under the , researchers at the University of Glasgow and specialists from Meta discuss the Meta Content Library’s evolving capabilities. The focuses on core concepts such as keyword-based searches and privacy safeguards for analyzing public Facebook and Instagram data. The highlights newly added features, including comment-level data, text-in-image matching, and Threads integration, to support more advanced social media research.
Meta Platforms, Inc. Menlo Park, California, U.S
Martin Sona
CSV Exports: Researchers can download query results as CSV files through the Content Library interface for these eligible accounts. Meta officially enabled CSV exports of “certain publicly-accessible content posted by widely-known figures” in 2024 as part of the toolkit’s features. This allows offline analysis of posts and their metrics. (For instance, a researcher could query all posts matching a keyword from high-follower accounts and export the data for analysis in a spreadsheet or statistical software.)