Extracción de Datos Web · 68.7K visitas mensuales

ParseHub es una potente herramienta de web scraping sin código que permite a los usuarios extraer datos de cualquier sitio web con una sencilla interfaz de apuntar y hacer clic. Está diseñada para manejar sitios complejos y dinámicos con JavaScript, AJAX, formularios y scroll infinito. Los datos se pueden recopilar de forma programada, exportar como JSON/Excel o acceder a ellos a través de una API, lo que la hace ideal para la generación de leads, investigación de mercado y agregación de datos.

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ScrapeGraphAI

Análisis · 156K visitas mensuales

ScrapeGraphAI es una API de web scraping impulsada por IA que transforma sitios web no estructurados en datos JSON limpios y estructurados utilizando simples indicaciones en lenguaje natural. Diseñado para desarrolladores, agentes de IA y flujos de trabajo automatizados, simplifica la extracción de datos sin código complejo.

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ParseHub vs ScrapeGraphAI: precios, funciones y tráfico

Compara ParseHub y ScrapeGraphAI por posicionamiento, precio, capacidades, tráfico y opiniones.

Actualizado 5 ago 2026

Resumen del producto

ParseHub Resumen del producto

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ScrapeGraphAI Resumen del producto

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Detailed feature comparison

Feature	ParseHub	ScrapeGraphAI
Categoría principal	Extracción de Datos Web	Análisis
Añadido	2025-08-06	2025-08-05
Precio	Freemium	Freemium
Sitio oficial	parsehub.com	scrapegraphai.com
Tipo de producto	Aplicación	Sitio web
Performance data
Valoración	Sin verificar	Sin verificar
Comentarios	0	0
Visitas mensuales	68.7K	156K
Crecimiento mensual	-7.1%	99.6%
Favoritos	102	111
Details	Ver detalles	Ver detalles

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

Visitas mensuales

68.7K

Duración media

0:19

Páginas por visita

1.89

Tasa de rebote

39.47%

Data updated 2026-06-11

Monthly traffic trend

Regiones principales

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

Fuentes de tráfico

Source type	Percentage	Traffic
Directo	91.62%	62.9K
Referido	6.21%	4.3K
Correo electrónico	2.17%	1.5K

Palabras clave

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

Visitas mensuales

156K

Duración media

0:55

Páginas por visita

2.94

Tasa de rebote

39.68%

Data updated 2026-06-15

Monthly traffic trend

Regiones principales

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

Fuentes de tráfico

Source type	Percentage	Traffic
Directo	67.51%	105.3K
Referido	32.13%	50.1K
Correo electrónico	0.36%	562

Palabras clave

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

Extracción de Datos

Generación de Leads

Automatización

Extracción de Datos Web

ScrapeGraphAI Core features

Extracción de Datos

Generación de Leads

Automatización

Análisis

Use cases

ParseHub Use cases

automatización

Extracción de datos

No-code

Web scraping

Recopilación de datos

minería de datos

Generación de leads

investigación de mercado

Seguimiento de precios

ScrapeGraphAI Use cases

automatización

Extracción de datos

No-code

Web scraping

Agente de IA

API

Herramientas para desarrolladores

JavaScript

JSON

Modelo de Lenguaje de Gran Escala

Python

datos estructurados

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 “Extracción de Datos Web”, while ScrapeGraphAI is primarily listed under “Análisis”, 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: Extracción de Datos Web; ScrapeGraphAI: Análisis); 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: Extracción de Datos, Generación de Leads y Automatización; shared tags: automatización, Extracción de datos, No-code y 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 Extracción de Datos Web, Recopilación de datos, minería de datos, Generación de leads, investigación de mercado y Seguimiento de precios; ScrapeGraphAI's are Análisis, Agente de IA, API, Herramientas para desarrolladores, JavaScript, JSON, Modelo de Lenguaje de Gran Escala y 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 “Extracción de Datos Web” and especially Extracción de Datos Web, Recopilación de datos, minería de datos, Generación de leads, investigación de mercado y Seguimiento de precios. 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 “Análisis” and especially Análisis, Agente de IA, API, Herramientas para desarrolladores, JavaScript y 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.

Preguntas frecuentes

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.