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.
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.
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.
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.
Detailed feature comparison
| Feature | ParseHub | ScrapeGraphAI |
|---|---|---|
| Categoria principal | Raspagem de Dados da Web | Análise |
| Adicionado | 2025-08-06 | 2025-08-05 |
| Preço | Freemium | Freemium |
| Site oficial | parsehub.com | scrapegraphai.com |
| Tipo de produto | Aplicativo | Site |
| Performance data | ||
| Avaliação | Não verificado | Não verificado |
| Comentários | 0 | 0 |
| Visitas mensais | 68.7K | 156K |
| Crescimento mensal | -7.1% | 99.6% |
| Favoritos | 102 | 111 |
| Details | Ver detalhes | Ver 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
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/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 |
Fontes de tráfego
| Source type | Percentage | Traffic |
|---|---|---|
| Direto | 91.62% | 62.9K |
| Referência | 6.21% | 4.3K |
| 2.17% | 1.5K |
Palavras-chave
ScrapeGraphAI monthly traffic:
Latest traffic
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/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 |
Fontes de tráfego
| Source type | Percentage | Traffic |
|---|---|---|
| Direto | 67.51% | 105.3K |
| Referência | 32.13% | 50.1K |
| 0.36% | 562 |
Palavras-chave
Usage comparison
Compare the core capabilities of ParseHub and ScrapeGraphAI
ParseHub Core features
ScrapeGraphAI Core features
Use cases
ParseHub Use cases
ScrapeGraphAI Use cases
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.




