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News API Benchmarks & Comparisons

News API Benchmarks & Comparisons

News API Benchmarks & Comparisons

Choosing a news API affects which stories your application finds, how much article text it receives, and how much work remains before the data is useful.

We compared Webz.io with seven news API providers across coverage, full-text access, duplicate handling, search, enrichment, performance and developer access. Six comparisons include live API tests. The Opoint comparison reviews public documentation and product capabilities.

The results show where Webz.io stands out: larger reported result sets across many tested searches, article text ready for processing, and detailed controls for selecting sources and analyzing coverage. Each comparison includes its own methodology, findings and limitations so you can assess the results against your application’s requirements.

The benchmarks at a glance

These are Webz.io’s own evaluations. Follow each comparison for the detailed results.

Comparison Main finding Scope
Webz.io vs. NewsAPI.org 23.8× as many reported matches: 928,363 vs. 39,009. Webz.io led all 34 queries. Seven-day publication window ending more than 48 hours before testing, allowing for the Developer plan’s 24-hour delay.
Webz.io vs. GNews 22.4× as many title matches and 15.3× as many title-and-content matches in aggregate. Eight topics, two search modes, one 72-hour window ending more than 12 hours before testing to allow for the free plan’s delay.
Webz.io vs. NewsData.io 5.93× as many reported matches: 5,513,536 vs. 929,581 in the all-news test. Aligned 48-hour window. NewsData.io’s tested free plan had a 12-hour delay that may affect this result.
Webz.io vs. NewsAPI.ai 3.53× as many reported matches: 61,971 vs. 17,554. Webz.io led 13 of 14 queries. Matched phrases and languages over a fixed 24-hour window.
Webz.io vs. NewsCatcher 17.8% more reported matches: 105,137 vs. 89,260 across uncapped queries. Thirty-three query pairs over 48 hours; 11 other pairs were excluded because NewsCatcher reported exactly 10,000 results.
Webz.io vs. Perigon 435 distinct results vs. 389 after applying the same URL and title deduplication rules. Five searches over a 24-hour window, sampling the newest 100 records per query: 500 records per provider.
Webz.io vs. Opoint Compares Webz.io’s self-service access, source controls and AI retrieval with Opoint’s enterprise feeds, corporate identifiers and readership data. Documentation review; no live coverage or latency ranking.

Reported matches are the totals returned by each API. They can include overlapping query results and syndicated copies. The Perigon figure measures distinct records within a sample. Different queries, dates and accounts were used across comparisons, so the ratios should be read within each test.

Coverage needs to be tested with real queries

A provider’s source count does not tell you whether it covers a particular company, specialist topic or local market.

Our tests included company names, broad subjects, Boolean expressions, long-tail phrases, publisher countries and multiple languages. Webz.io’s larger result sets appeared across several of these dimensions.

In the NewsAPI.org benchmark, for example, Webz.io reported 567 matches for “supply chain attack,” compared with 15. Across eight non-English queries, it reported 36.3× as many matches in aggregate.

Coverage also varied by query. NewsAPI.ai led the French-language test, while NewsCatcher led 19 of the 33 uncapped query pairs despite Webz.io’s higher aggregate total. These results support testing your own entities, languages and publishers before choosing a provider.

For monitoring products, a larger candidate set gives the application more material to filter and evaluate. Establishing how much of it is relevant requires a separate relevance assessment.

Duplicate handling changes what a result count means

Repeated copies consume result slots, analyst attention and processing capacity.

The Perigon comparison demonstrates the effect. Across ten English searches, Perigon’s own reprint filter reduced its reported totals by 66.4%. A separate analysis using the same URL and title rules on both providers’ samples found duplicate rates of 13.0% for Webz.io and 22.2% for Perigon.

The NewsCatcher benchmark also found fewer near-title duplicates in Webz.io’s ordinary result samples: a mean rate of 10.0%, compared with 19.3%, across twelve 25-record samples per provider. NewsCatcher’s separate clustering mode was outside that sample comparison.

These are sample findings under defined rules. Distinct URLs or titles do not necessarily represent independently reported stories.

Source mix also affects evaluation. Webz.io provides separate News and Blogs APIs; Perigon’s documented source universe includes company blogs alongside news publishers. Source filters still matter in either system.

Full article text changes what you can build

Summarization, adverse-media analysis, entity attribution and AI grounding need enough text to establish what an article actually says.

The tests found substantial differences in the content available through the accounts used:

  • Against NewsData.io, Webz.io returned article text in all 670 sampled records. The tested NewsData.io free account returned a paid-plan placeholder.
  • Against GNews, Webz.io’s median article text was 4,805 characters, compared with 265 characters of truncated content on the tested GNews free plan.
  • Against NewsCatcher, Webz.io’s median was 3,734 characters, compared with 303. All 300 sampled NewsCatcher records were flagged as truncated.

GNews and NewsData.io offer full content on paid plans, and NewsCatcher also markets full-text access. These findings describe the tested accounts. The NewsAPI.org comparison identifies a different limitation: its standard content field is truncated to 200 characters.

For developers, inspecting actual article bodies during evaluation helps establish whether additional extraction will be needed.

Search and enrichment determine how much processing remains

Webz.io combines Boolean and field-based search with filters for publishers, language, country, dates, sentiment, entities, tickers, categories, topics and source trust. Its documented taxonomy includes 17 categories and 629 topics. These controls let applications apply detailed monitoring rules before retrieving articles. Explore the News API filters.

Entity-level sentiment is useful when an article discusses several companies differently. Source classifications, domain rank, publisher exclusions and syndication metadata help developers define which material enters an alert, dashboard or research workflow.

The response schema also includes full extracted text, a summary field and structured metadata. Field availability varies by article, language and account; a documented field should not be assumed to be populated in every record. See the article data fields.

Performance and access affect production costs

The timed tests favored Webz.io on median response time:

These measurements reflect their individual test environments and workloads. They measure request response time, not how quickly a newly published article enters an index.

The comparisons also examine pagination, historical access and pricing. For backfills and research, the practical questions are how far back the account can search, how many results it can retrieve, and how usage is charged. Webz.io offers live history and separate archive products, including older datasets reaching back to 2008; access depends on the product and account. Explore historical data.

When estimating cost, include any additional extraction, deduplication, enrichment and storage your application needs.

News retrieval for AI applications

Webz.io provides two complementary retrieval options. The News API supports structured queries, feeds and repeatable monitoring rules. The News Search API supports natural-language queries and returns relevant article passages for research and retrieval-augmented generation.

An MCP server makes News Search available to compatible AI clients.

The comparisons review these capabilities alongside competing products. The live figures above measure the tested news endpoints; they do not establish a ranking of semantic retrieval or generated-answer quality.

Start with the comparison closest to your application

Use the linked benchmarks to inspect the query-level results, account restrictions and features that matter to your product. Then run a small evaluation using your own companies, topics, languages and required publishers.

For applications that need broad news retrieval, article text and detailed monitoring controls, these comparisons make a strong case for evaluating Webz.io.

Every account includes $5 in free API credit each month, with no credit card required. Continue with pay-as-you-go access or a higher-volume package as usage grows. See plans and pricing.

Start testing Webz.io.

 

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