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ParseHub
Raspagem de Dados da Web · 68.7K visitas mensais

O ParseHub é uma poderosa ferramenta de web scraping sem código que permite aos usuários extrair dados de qualquer site com uma interface simples de apontar e clicar. Ele foi projetado para lidar com sites complexos e dinâmicos com JavaScript, AJAX, formulários e rolagem infinita. Os dados podem ser coletados em um cronograma, exportados como JSON/Excel ou acessados via API, tornando-o ideal para geração de leads, pesquisa de mercado e agregação de dados.

VS
ScrapeGraphAI
Análise · 156K visitas mensais

ScrapeGraphAI é uma API de web scraping alimentada por IA que transforma sites não estruturados em dados JSON limpos e estruturados usando simples prompts de linguagem natural. Projetado para desenvolvedores, agentes de IA e fluxos de trabalho automatizados, simplifica a extração de dados sem código complexo.

ParseHub vs ScrapeGraphAI: preços, recursos e tráfego

Compare ParseHub e ScrapeGraphAI por posicionamento, preço, recursos, tráfego e avaliações.

Atualizado 5 de ago. de 2026

Visão geral

ParseHub Visão geral

O ParseHub é uma poderosa ferramenta de web scraping sem código que permite aos usuários extrair dados de qualquer site com uma interface simples de apontar e clicar. Ele foi projetado para lidar com sites complexos e dinâmicos com JavaScript, AJAX, formulários e rolagem infinita. Os dados podem ser coletados em um cronograma, exportados como JSON/Excel ou acessados via API, tornando-o ideal para geração de leads, pesquisa de mercado e agregação de dados.

Preview

ScrapeGraphAI Visão geral

ScrapeGraphAI é uma API de web scraping alimentada por IA que transforma sites não estruturados em dados JSON limpos e estruturados usando simples prompts de linguagem natural. Projetado para desenvolvedores, agentes de IA e fluxos de trabalho automatizados, simplifica a extração de dados sem código complexo.

Preview

Detailed feature comparison

FeatureParseHubScrapeGraphAI
Categoria principalRaspagem de Dados da WebAnálise
Adicionado2025-08-062025-08-05
PreçoFreemiumFreemium
Site oficialparsehub.comscrapegraphai.com
Tipo de produtoAplicativoSite
Performance data
AvaliaçãoNão verificadoNão verificado
Comentários00
Visitas mensais68.7K156K
Crescimento mensal-7.1%99.6%
Favoritos102111
DetailsVer detalhesVer detalhes

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 mensais
68.7K
Duração média
0:19
Páginas por visita
1.89
Taxa de rejeição
39.47%
Data updated 2026-06-11

Monthly traffic trend

  • 2025/9: 136.2K Visitas mensais
  • 2026/1: 120.4K Visitas mensais
  • 2026/2: 102.7K Visitas mensais
  • 2026/3: 82.7K Visitas mensais
  • 2026/4: 74K Visitas mensais
  • 2026/5: 68.7K Visitas mensais

Principais regiões

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States39.93%27.4K
🇮🇳India23.24%16K
🇳🇬Nigeria14.19%9.7K
🇬🇧United Kingdom13.27%9.1K
🇧🇷Brazil9.37%6.4K

Fontes de tráfego

Source typePercentageTraffic
Direto91.62%62.9K
Referência6.21%4.3K
E-mail2.17%1.5K

Palavras-chave

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 mensais
156K
Duração média
0:55
Páginas por visita
2.94
Taxa de rejeição
39.68%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 66.7K Visitas mensais
  • 2026/1: 77.5K Visitas mensais
  • 2026/2: 77.7K Visitas mensais
  • 2026/3: 76.4K Visitas mensais
  • 2026/4: 78.2K Visitas mensais
  • 2026/5: 156K Visitas mensais

Principais regiões

Top 5 countries/regions
Country/regionPercentageTraffic
🇮🇳India44.05%68.7K
🇺🇸United States37.21%58K
🇪🇹Ethiopia8.18%12.8K
🇹🇷Turkey5.56%8.7K
🇫🇷France5%7.8K

Fontes de tráfego

Source typePercentageTraffic
Direto67.51%105.3K
Referência32.13%50.1K
E-mail0.36%562

Palavras-chave

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

Extração de Dados
Geração de Leads
Automação
Raspagem de Dados da Web

ScrapeGraphAI Core features

Extração de Dados
Geração de Leads
Automação
Análise

Use cases

ParseHub Use cases

automação
Extração de dados
No-code
Web scraping
Coleta de dados
mineração de dados
Geração de leads
pesquisa de mercado
Rastreamento de preços

ScrapeGraphAI Use cases

automação
Extração de dados
No-code
Web scraping
Agente de IA
API
Ferramentas de desenvolvedor
JavaScript
JSON
Modelo de Linguagem de Grande Escala
Python
dados estruturados

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 “Raspagem de Dados da Web”, while ScrapeGraphAI is primarily listed under “Análise”, 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: Raspagem de Dados da Web; ScrapeGraphAI: Análise); 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

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.

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: Extração de Dados, Geração de Leads e Automação; shared tags: automação, Extração de dados, No-code e 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 Raspagem de Dados da Web, Coleta de dados, mineração de dados, Geração de leads, pesquisa de mercado e Rastreamento de preços; ScrapeGraphAI's are Análise, Agente de IA, API, Ferramentas de desenvolvedor, JavaScript, JSON, Modelo de Linguagem de Grande Escala e 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 “Raspagem de Dados da Web” and especially Raspagem de Dados da Web, Coleta de dados, mineração de dados, Geração de leads, pesquisa de mercado e Rastreamento de preços. 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 “Análise” and especially Análise, Agente de IA, API, Ferramentas de desenvolvedor, JavaScript e 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.

FAQ da comparação

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.