Diffbotは、非構造化ウェブを巨大な構造化知識グラフに変換するAI搭載プラットフォームです。ウェブデータ抽出、クローリング、自然言語処理のためのAPIを提供し、企業が金融、マーケットインテリジェンス、リスク管理などのアプリケーションのために、組織、ニュース、製品などに関するクリーンで整理されたデータにアクセスできるようにします。
Zyteは、フルスタックAPIとデータ抽出サービスを提供する包括的なウェブスクレイピングプラットフォームです。プロキシ、ヘッドレスブラウザ、高度なブロック回避システムを管理することで、データ取得を簡素化します。AIを活用し、Zyteはeコマースや市場調査などのビジネス向けに、信頼性の高い構造化されたウェブデータを大規模に提供します。
製品概要
Diffbot 製品概要
Diffbotは、非構造化ウェブを巨大な構造化知識グラフに変換するAI搭載プラットフォームです。ウェブデータ抽出、クローリング、自然言語処理のためのAPIを提供し、企業が金融、マーケットインテリジェンス、リスク管理などのアプリケーションのために、組織、ニュース、製品などに関するクリーンで整理されたデータにアクセスできるようにします。
Zyte 製品概要
Zyteは、フルスタックAPIとデータ抽出サービスを提供する包括的なウェブスクレイピングプラットフォームです。プロキシ、ヘッドレスブラウザ、高度なブロック回避システムを管理することで、データ取得を簡素化します。AIを活用し、Zyteはeコマースや市場調査などのビジネス向けに、信頼性の高い構造化されたウェブデータを大規模に提供します。
Detailed feature comparison
Diffbot vs Zyte monthly traffic
Compare Diffbot and Zyte by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Diffbot vs Zyte monthly traffic comparison, Diffbot currently shows 47.2K visits and Zyte shows 202.6K; Zyte has about 4.3 times the visible traffic of Diffbot, an absolute difference of about 155.4K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Diffbot monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 65.5K 月間訪問数
- 2026/1: 49.6K 月間訪問数
- 2026/2: 69.2K 月間訪問数
- 2026/3: 61.7K 月間訪問数
- 2026/4: 44.6K 月間訪問数
- 2026/5: 47.2K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 31.36% | 14.8K |
| 🇳🇬Nigeria | 28.45% | 13.4K |
| 🇮🇳India | 20.17% | 9.5K |
| 🇬🇧United Kingdom | 11.29% | 5.3K |
| 🇵🇰Pakistan | 8.73% | 4.1K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 89.5% | 42.2K |
| 参照元 | 8.3% | 3.9K |
| Eメール | 2.2% | 1K |
検索キーワード
Zyte monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 177.5K 月間訪問数
- 2026/1: 188.6K 月間訪問数
- 2026/2: 183.4K 月間訪問数
- 2026/3: 201.2K 月間訪問数
- 2026/4: 224.1K 月間訪問数
- 2026/5: 202.6K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 59.41% | 120.4K |
| 🇮🇳India | 19.92% | 40.4K |
| 🇪🇬Egypt | 7.77% | 15.7K |
| 🇮🇪Ireland | 6.65% | 13.5K |
| 🇰🇷Korea, Republic of | 6.25% | 12.7K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 92.71% | 187.8K |
| 参照元 | 5.5% | 11.1K |
| Eメール | 1.79% | 3.6K |
検索キーワード
Usage comparison
Compare the core capabilities of Diffbot and Zyte
Diffbot Core features
Zyte Core features
Use cases
Diffbot Use cases
Zyte Use cases
Best suited roles
Diffbot Best suited roles
Zyte Best suited roles
Diffbot vs Zyte:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Diffbot vs Zyte comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Diffbot is primarily listed under “市場情報”, while Zyte is primarily listed under “市場情報”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Monthly visits (Diffbot: 47.2K; Zyte: 202.6K); Monthly growth (Diffbot: 5.8%; Zyte: -9.6%); Favorites (Diffbot: 133; Zyte: 91); Website (Diffbot: www.diffbot.com; Zyte: zyte.com); Added (Diffbot: 2025-08-09; Zyte: 2025-09-10). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Diffbot vs Zyte monthly traffic comparison, Diffbot currently shows 47.2K visits and Zyte shows 202.6K; Zyte has about 4.3 times the visible traffic of Diffbot, an absolute difference of about 155.4K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Zyte first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
Diffbot and Zyte currently overlap in shared categories: 市場情報、ウェブスクレイピング; shared tags: API、データ抽出、市場インテリジェンス、ウェブクローリング、Webスクレイピング. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Diffbot's unique categories/tags are API、自動化、ビジネスインテリジェンス、データエンリッチメント、開発者ツール、知識グラフ、自然言語処理、ニュースモニタリング; Zyte's are データ抽出、AIデータ抽出、競合分析、データマイニング、リード生成、価格モニタリング、プロキシ. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Diffbot has no verified rating, 0 comments, 133 favorites, and 111 likes;Zyte has no verified rating, 0 comments, 91 favorites, and 88 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Diffbot first
Put Diffbot on the priority trial list when the task aligns with “市場情報” and especially API、自動化、ビジネスインテリジェンス、データエンリッチメント、開発者ツール、知識グラフ. This follows recorded positioning and does not imply unlisted capabilities are absent.
Diffbot also currently records: pricing is freemium, product type is website, 47.2K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Zyte first
Put Zyte on the priority trial list when the task aligns with “市場情報” and especially データ抽出、AIデータ抽出、競合分析、データマイニング、リード生成、価格モニタリング, or the users include ビジネスアナリスト、データアナリスト、データサイエンティスト、Eコマースマネージャー. This follows recorded positioning and does not imply unlisted capabilities are absent.
Zyte also currently records: pricing is freemium, product type is website, 202.6K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Diffbot and Zyte, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.




