ToolMage
Connexion
ParseHub
Web scraping · 68.7K visites mensuelles

ParseHub est un puissant outil de web scraping sans code qui permet aux utilisateurs d'extraire des données de n'importe quel site web avec une simple interface pointer-cliquer. Il est conçu pour gérer des sites complexes et dynamiques avec JavaScript, AJAX, des formulaires et un défilement infini. Les données peuvent être collectées selon un calendrier, exportées en JSON/Excel ou consultées via une API, ce qui le rend idéal pour la génération de leads, les études de marché et l'agrégation de données.

Visiter le siteVoir les détails
VS
ScrapeGraphAI
Analyse · 156K visites mensuelles

ScrapeGraphAI est une API de web scraping alimentée par l'IA qui transforme les sites web non structurés en données JSON propres et structurées à l'aide de simples invites en langage naturel. Conçu pour les développeurs, les agents IA et les flux de travail automatisés, il simplifie l'extraction de données sans code complexe.

Visiter le siteVoir les détails

ParseHub vs ScrapeGraphAI : prix, fonctions et trafic

Comparez ParseHub et ScrapeGraphAI selon leur positionnement, prix, fonctions, trafic et avis.

Mis à jour 5 août 2026

Aperçu du produit

ParseHub Aperçu du produit

ParseHub est un puissant outil de web scraping sans code qui permet aux utilisateurs d'extraire des données de n'importe quel site web avec une simple interface pointer-cliquer. Il est conçu pour gérer des sites complexes et dynamiques avec JavaScript, AJAX, des formulaires et un défilement infini. Les données peuvent être collectées selon un calendrier, exportées en JSON/Excel ou consultées via une API, ce qui le rend idéal pour la génération de leads, les études de marché et l'agrégation de données.

Preview

ScrapeGraphAI Aperçu du produit

ScrapeGraphAI est une API de web scraping alimentée par l'IA qui transforme les sites web non structurés en données JSON propres et structurées à l'aide de simples invites en langage naturel. Conçu pour les développeurs, les agents IA et les flux de travail automatisés, il simplifie l'extraction de données sans code complexe.

Preview

Detailed feature comparison

FeatureParseHubScrapeGraphAI
Catégorie principaleWeb scrapingAnalyse
Ajouté2025-08-062025-08-05
TarificationFreemiumFreemium
Site officielparsehub.comscrapegraphai.com
Type de produitApplicationSite web
Performance data
Note utilisateurNon vérifiéNon vérifié
Commentaires00
Visites mensuelles68.7K156K
Croissance mensuelle-7.1%99.6%
Favoris102111
DetailsVoir les détailsVoir les détails

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

Visites mensuelles
68.7K
Durée moyenne
0:19
Pages par visite
1.89
Taux de rebond
39.47%
Data updated 2026-06-11

Monthly traffic trend

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

Principales régions

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

Sources de trafic

Source typePercentageTraffic
Direct91.62%62.9K
Référence6.21%4.3K
E-mail2.17%1.5K

Mots-clés

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

Visites mensuelles
156K
Durée moyenne
0:55
Pages par visite
2.94
Taux de rebond
39.68%
Data updated 2026-06-15

Monthly traffic trend

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

Principales régions

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

Sources de trafic

Source typePercentageTraffic
Direct67.51%105.3K
Référence32.13%50.1K
E-mail0.36%562

Mots-clés

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

Extraction de données
Génération de leads
Automatisation
Web scraping

ScrapeGraphAI Core features

Extraction de données
Génération de leads
Automatisation
Analyse

Use cases

ParseHub Use cases

automatisation
Extraction de données
No-code
Web scraping
Collecte de données
exploration de données
Génération de leads
étude de marché
Suivi des prix

ScrapeGraphAI Use cases

automatisation
Extraction de données
No-code
Web scraping
Agent IA
API
Outils pour développeurs
JavaScript
JSON
Grand modèle linguistique
Python
données structurées

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 “Analyse”, 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: Analyse); 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: Extraction de données, Génération de leads et Automatisation; shared tags: automatisation, Extraction de données, No-code et 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, Collecte de données, exploration de données, Génération de leads, étude de marché et Suivi des prix; ScrapeGraphAI's are Analyse, Agent IA, API, Outils pour développeurs, JavaScript, JSON, Grand modèle linguistique et 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, Collecte de données, exploration de données, Génération de leads, étude de marché et Suivi des prix. 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 “Analyse” and especially Analyse, Agent IA, API, Outils pour développeurs, JavaScript et 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 comparative

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.