Web Scraping · 68.7K monatliche besuche

ParseHub ist ein leistungsstarkes No-Code Web-Scraping-Tool, mit dem Benutzer Daten von jeder Website über eine einfache Point-and-Click-Oberfläche extrahieren können. Es ist für die Verarbeitung komplexer, dynamischer Websites mit JavaScript, AJAX, Formularen und unendlichem Scrollen konzipiert. Daten können nach Zeitplan gesammelt, als JSON/Excel exportiert oder über eine API abgerufen werden, was es ideal für die Lead-Generierung, Marktforschung und Datenaggregation macht.

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ScrapeGraphAI

Analysen · 156K monatliche besuche

ScrapeGraphAI ist eine KI-gestützte Web-Scraping-API, die unstrukturierte Websites mit einfachen Anweisungen in natürlicher Sprache in saubere, strukturierte JSON-Daten umwandelt. Entwickelt für Entwickler, KI-Agenten und automatisierte Workflows, vereinfacht es die Datenextraktion ohne komplexen Code.

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ParseHub vs ScrapeGraphAI: Preise, Funktionen und Traffic

Vergleiche ParseHub und ScrapeGraphAI nach Positionierung, Preis, Funktionen, Traffic und Nutzerfeedback.

Aktualisiert 05.08.2026

Produktübersicht

ParseHub Produktübersicht

Preview

ScrapeGraphAI Produktübersicht

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Detailed feature comparison

Feature	ParseHub	ScrapeGraphAI
Hauptkategorie	Web Scraping	Analysen
Hinzugefügt	2025-08-06	2025-08-05
Preismodell	Freemium	Freemium
Offizielle Website	parsehub.com	scrapegraphai.com
Produkttyp	App	Website
Performance data
Nutzerbewertung	Nicht verifiziert	Nicht verifiziert
Kommentare	0	0
Monatliche Besuche	68.7K	156K
Monatliches Wachstum	-7.1%	99.6%
Favoriten	102	111
Details	Details ansehen	Details ansehen

ParseHub vs ScrapeGraphAI monthly traffic

Compare ParseHub and ScrapeGraphAI by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the ParseHub vs ScrapeGraphAI monthly traffic comparison, ParseHub currently shows 68.7K visits and ScrapeGraphAI shows 156K; ScrapeGraphAI has about 2.3 times the visible traffic of ParseHub, an absolute difference of about 87.3K 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.

ParseHub monthly traffic:

Latest traffic

Monatliche Besuche

68.7K

Ø Besuchsdauer

0:19

Seiten pro Besuch

1.89

Absprungrate

39.47%

Data updated 2026-06-11

Monthly traffic trend

Top-Regionen

Top 5 countries/regions

Country/region	Percentage	Traffic
🇺🇸United States	39.93%	27.4K
🇮🇳India	23.24%	16K
🇳🇬Nigeria	14.19%	9.7K
🇬🇧United Kingdom	13.27%	9.1K
🇧🇷Brazil	9.37%	6.4K

Traffic-Quellen

Source type	Percentage	Traffic
Direkt	91.62%	62.9K
Verweis	6.21%	4.3K
E-Mail	2.17%	1.5K

Suchbegriffe

free webscraping coursehow to get an html sentence for a specific value on a websitepareshubparsehubparse hub how to click on gdpr agreement first

ScrapeGraphAI monthly traffic:

Latest traffic

Monatliche Besuche

156K

Ø Besuchsdauer

0:55

Seiten pro Besuch

2.94

Absprungrate

39.68%

Data updated 2026-06-15

Monthly traffic trend

Top-Regionen

Top 5 countries/regions

Country/region	Percentage	Traffic
🇮🇳India	44.05%	68.7K
🇺🇸United States	37.21%	58K
🇪🇹Ethiopia	8.18%	12.8K
🇹🇷Turkey	5.56%	8.7K
🇫🇷France	5%	7.8K

Traffic-Quellen

Source type	Percentage	Traffic
Direkt	67.51%	105.3K
Verweis	32.13%	50.1K
E-Mail	0.36%	562

Suchbegriffe

scrapegraphscrape graph aiscrapegraph aiscrapegraphaiscrap graph ai

Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate ScrapeGraphAI 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.

Usage comparison

Compare the core capabilities of ParseHub and ScrapeGraphAI

ParseHub Core features

Datenextraktion

Lead-Generierung

Automatisierung

Web Scraping

ScrapeGraphAI Core features

Datenextraktion

Lead-Generierung

Automatisierung

Analysen

Use cases

ParseHub Use cases

Automatisierung

Datenextraktion

No-Code

Web Scraping

Datenerfassung

Data Mining

Lead-Generierung

Marktforschung

Preisverfolgung

ScrapeGraphAI Use cases

Automatisierung

Datenextraktion

No-Code

Web Scraping

KI-Agent

API

Entwicklerwerkzeuge

JavaScript

JSON

Großes Sprachmodell

Python

strukturierte Daten

ParseHub vs ScrapeGraphAI：In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth ParseHub vs ScrapeGraphAI comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. ParseHub is primarily listed under “Web Scraping”, while ScrapeGraphAI is primarily listed under “Analysen”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (ParseHub: Web Scraping; ScrapeGraphAI: Analysen); Product type (ParseHub: App; ScrapeGraphAI: Website); Monthly visits (ParseHub: 68.7K; ScrapeGraphAI: 156K); Monthly growth (ParseHub: -7.1%; ScrapeGraphAI: 99.6%); Favorites (ParseHub: 102; ScrapeGraphAI: 111). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

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 ScrapeGraphAI 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

ParseHub and ScrapeGraphAI currently overlap in shared categories: Datenextraktion, Lead-Generierung und Automatisierung; shared tags: Automatisierung, Datenextraktion, No-Code und Web Scraping. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

ParseHub's unique categories/tags are Web Scraping, Datenerfassung, Data Mining, Lead-Generierung, Marktforschung und Preisverfolgung; ScrapeGraphAI's are Analysen, KI-Agent, API, Entwicklerwerkzeuge, JavaScript, JSON, Großes Sprachmodell und Python. 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

ParseHub has no verified rating, 0 comments, 102 favorites, and 97 likes；ScrapeGraphAI has no verified rating, 0 comments, 111 favorites, and 109 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate ParseHub first

Put ParseHub on the priority trial list when the task aligns with “Web Scraping” and especially Web Scraping, Datenerfassung, Data Mining, Lead-Generierung, Marktforschung und Preisverfolgung. This follows recorded positioning and does not imply unlisted capabilities are absent.

ParseHub also currently records: pricing is freemium, product type is app, 68.7K 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 ScrapeGraphAI first

Put ScrapeGraphAI on the priority trial list when the task aligns with “Analysen” and especially Analysen, KI-Agent, API, Entwicklerwerkzeuge, JavaScript und JSON. This follows recorded positioning and does not imply unlisted capabilities are absent.

ScrapeGraphAI also currently records: pricing is freemium, product type is website, 156K 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 ParseHub and ScrapeGraphAI, 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.

Vergleichs-FAQ

How should I choose between ParseHub and ScrapeGraphAI?

Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.

Where does this comparison data come from?

The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.

What do unknown fields mean?

Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.