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APIs / Media / Nytimes / NYT Article Search API
NYT Article Search API logo

Nytimes NYT Article Search API

Browse all Nytimes APIs
✓ Official Vendor SpecMediaContent DeliveryapiKey1 EndpointsREST

For Agents

Run keyword and filter queries across NYT articles from 1851 to today and return headline, abstract, lead paragraph, and metadata fields, authenticated with an API key in the query string.

Use for: Search NYT articles for mentions of climate policy in the last month, Find every NYT article in the Business section about a named company, Retrieve NYT articles published between two dates that mention a topic, Get the most recent NYT op-ed pieces matching a query

Not supported: Does not handle real-time alerts, full body text retrieval, or bulk monthly download — use for keyword and filter search across NYT article metadata only.

The New York Times Article Search API exposes a single search endpoint that runs queries against NYT articles published from September 18, 1851 to today. It supports keyword queries, filter queries (Lucene-style on fields such as section, byline, and date), date ranges, sorting, and faceting, and returns headlines, abstracts, lead paragraphs, multimedia links, and other article metadata. The endpoint is well suited to building topic monitors, citation tools, research dashboards, and AI agents that need to retrieve specific articles rather than walk the full archive.

Jentic One on GithubView OpenAPI Document

Install Jentic One Beta

Connect the NYT Article Search API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the NYT Article Search API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

1

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
2

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with NYT Article Search API.

Search the full NYT corpus by free-text query and return ranked article metadata

Filter results by structured field expressions on section, byline, type-of-material, or pub_date

Constrain results to a specific date range using begin_date and end_date

Page through results using a zero-based page parameter at 10 results per page

Sort results by newest, oldest, or relevance to suit research workflows

Request facet counts on configured fields to surface coverage trends

Use Cases

Patterns agents use NYT Article Search API for, with concrete tasks.

★ Topic Monitoring

Run a daily query for keywords or filter expressions and surface fresh NYT coverage in a dashboard, newsletter, or Slack channel. Article Search returns headlines and lead paragraphs, which is enough to triage what to read in full on nytimes.com. Setup typically takes under a day from a developer key, with the bulk of work being query refinement.

GET /articlesearch.json with q='renewable energy', begin_date set to yesterday, sort='newest', and post the top three results to a Slack channel.

Research and Citation Tool

Power a research tool for journalists or academics that returns NYT articles matching a structured query — for example, 'all Op-Ed pieces tagged with a person between 1990 and 2000'. The fq parameter supports Lucene-style filter queries on fields such as section_name, byline.original, and type_of_material, which makes it possible to build precise citation lists.

Call /articlesearch.json with fq="section_name:(\"Op-Ed\") AND byline.original:(\"By Maureen Dowd\")" and a date range, then return ranked headlines and URLs.

Agent-Driven NYT Q&A

Let an AI agent answer 'has The New York Times written about this topic recently, and what did they say?' by running a search and summarising the top results. Through Jentic, the agent searches by intent and gets only the operations it needs, with the API key held in the platform's vault rather than in the agent's context.

Search Jentic for 'search NYT articles', load the operation, run a query for the user's topic with sort='newest', and summarise the top three results.

Key Endpoints

1 endpoints — the new york times article search api exposes a single search endpoint that runs queries against nyt articles published from september 18, 1851 to today.

METHOD

PATH

DESCRIPTION

GET

/articlesearch.json

Search NYT articles by query, filter, date range, and sort

GET

/articlesearch.json

Search NYT articles by query, filter, date range, and sort

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential management

Credential isolation

The NYT api-key is stored encrypted in the Jentic vault. Agents receive scoped access — the raw key never enters the agent's context, and Jentic appends it as a query parameter at execution time.

Intent-based discovery

Intent-based discovery

Agents search Jentic with phrases like 'search NYT articles' or 'find NYT op-eds about X'. Jentic returns the matching operation and its input schema so the agent can call the correct endpoint without browsing the NYT developer docs.

Time to first call

Time to first call

Direct integration: half a day for query-string auth, fq syntax handling, and rate-limit pacing. Through Jentic: under 30 minutes — search, load, execute.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Complementary

NYT Archive API

→

Bulk month-by-month retrieval of NYT article metadata, complementing the query-driven Article Search.

Use when you need the entire month at once rather than running a targeted query.

Complementary

NYT Top Stories API

→

Current top stories for a section — for live homepage rather than historical search.

Use for current section-level top stories where Article Search's query model is heavier than needed.

Alternative

Guardian Content API

→

Article search across The Guardian — competing newspaper-of-record corpus.

Choose The Guardian when the question requires a non-NYT or UK-focused source.

Alternative

NewsAPI

→

Aggregator across many publishers with shorter retention than the NYT archive.

Choose NewsAPI for cross-publisher recent-news coverage rather than NYT's deep archive.

FAQs

Specific to using NYT Article Search API through Jentic.

What authentication does the NYT Article Search API use?

The API uses an API key passed as the query parameter 'api-key'. There is no header-based auth or OAuth. Through Jentic, the api-key is stored encrypted in the vault and appended to every request URL at execution time so the agent never holds it directly.

Can I filter results by section or byline?

Yes — the 'fq' parameter accepts Lucene-style filter queries on fields such as section_name, byline.original, type_of_material, and pub_date. Combine with a free-text 'q' query to narrow results. Use 'begin_date' and 'end_date' for date-range filtering.

What are the rate limits for the API?

The spec does not embed explicit limits. The Times's published policy is 5 requests per minute and 500 per day for the developer tier; back off on HTTP 429 and cache common queries client-side where possible.

How do I run a search through Jentic?

Run pip install jentic, then search for 'search NYT articles'. Jentic returns GET /articlesearch.json with its input schema; supply your query string, optional fq filter, and date range and execute. Sign up at https://app.jentic.com/sign-up to get an agent key.

How are results paged?

Results return 10 per page. Pass a zero-based 'page' parameter to walk additional pages. The 'meta.hits' field on the response indicates the total match count so you can size the iteration.

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View OpenAPI Document