ParseHub is a powerful, no-code web scraping tool that allows users to extract data from any website with a simple point-and-click interface. It's designed to handle complex, dynamic sites with JavaScript, AJAX, forms, and infinite scroll. Data can be collected on a schedule, exported as JSON/Excel, or accessed via API, making it ideal for lead generation, market research, and data aggregation.
ScrapeGraphAI is an AI-powered web scraping API that transforms unstructured websites into clean, structured JSON data using simple natural language prompts. Designed for developers, AI agents, and automated workflows, it simplifies data extraction without complex code.
Product overview
ParseHub Product overview
ParseHub is a powerful, no-code web scraping tool that allows users to extract data from any website with a simple point-and-click interface. It's designed to handle complex, dynamic sites with JavaScript, AJAX, forms, and infinite scroll. Data can be collected on a schedule, exported as JSON/Excel, or accessed via API, making it ideal for lead generation, market research, and data aggregation.
ScrapeGraphAI Product overview
ScrapeGraphAI is an AI-powered web scraping API that transforms unstructured websites into clean, structured JSON data using simple natural language prompts. Designed for developers, AI agents, and automated workflows, it simplifies data extraction without complex code.
Detailed feature comparison
| Feature | ParseHub | ScrapeGraphAI |
|---|---|---|
| Primary category | Web Scraping | Analytics |
| Added | 2025-08-06 | 2025-08-05 |
| Pricing | Freemium | Freemium |
| Official website | parsehub.com | scrapegraphai.com |
| Product type | App | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 68.7K | 156K |
| Monthly growth | -7.1% | 99.6% |
| Favorites | 102 | 111 |
| Details | View details | View details |
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 Monthly visits
- 2026/1: 120.4K Monthly visits
- 2026/2: 102.7K Monthly visits
- 2026/3: 82.7K Monthly visits
- 2026/4: 74K Monthly visits
- 2026/5: 68.7K Monthly visits
Top regions
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 sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 91.62% | 62.9K |
| Referral | 6.21% | 4.3K |
| 2.17% | 1.5K |
Search keywords
ScrapeGraphAI monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 66.7K Monthly visits
- 2026/1: 77.5K Monthly visits
- 2026/2: 77.7K Monthly visits
- 2026/3: 76.4K Monthly visits
- 2026/4: 78.2K Monthly visits
- 2026/5: 156K Monthly visits
Top regions
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 sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 67.51% | 105.3K |
| Referral | 32.13% | 50.1K |
| 0.36% | 562 |
Search keywords
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 “Web Scraping”, while ScrapeGraphAI is primarily listed under “Analytics”, 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: Analytics); 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: Data Extraction, Lead Generation, and Automation; shared tags: automation, data extraction, no-code, and 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, data collection, data mining, lead generation, market research, and price tracking; ScrapeGraphAI's are Analytics, AI agent, API, developer tools, javascript, JSON, llm, and 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, data collection, data mining, lead generation, market research, and price tracking. 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 “Analytics” and especially Analytics, AI agent, API, developer tools, javascript, and 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.




