ScrapeStorm

Name: ScrapeStorm
Brand: ScrapeStorm

ScrapeStorm is a no-code/low-code, AI-assisted web scraping platform that performs visual extraction of structured data, automates navigation and recurring jobs, and exposes a RESTful API for task control.

Est 2016

LinkedIn 128|Web traffic 46K|FTEs 5

01Competitive Landscape

Narrative analysis

- **ScrapeStorm vs Octoparse:** Both target non-technical users. Octoparse has a more clearly articulated plan/add-on model (including documentation on plan-based vs usage-based charges). ScrapeStorm’s public pricing signals are less consistent, which can complicate budgeting. - **ScrapeStorm vs ParseHub:** ParseHub is often viewed as capable for complex sites, but with higher entry costs. ScrapeStorm is positioned as easier to use and potentially lower cost (depending on which public pricing is accurate), but receives more criticism for bugs and instability. - **ScrapeStorm vs Apify:** Apify is a cloud platform with an ecosystem of prebuilt scrapers and usage-based billing. Competitor-authored comparisons suggest differences in handling free credits, pagination, and scale; such claims should be validated against independent reviews and trial results.

Market adoption trends

Capterra shows a relatively high number of reviews and a high average rating, suggesting adoption among SMB users of data extraction tools.
G2 has fewer reviews, which may reflect lower coverage on that platform or different user bases.

	ScrapeStorm	Octoparse	ParseHub
Starting Price	Conflicting public figures across sources; Free tier exists	Free tier exists; paid plans commonly cited starting in the lower hundreds per month	Free tier exists; paid plans commonly cited starting in the hundreds per month
Best For	Non-coders wanting desktop visual scraping + task control API	Non-coders wanting templates, cloud runs, and add-ons like proxies/CAPTCHA solving	Users scraping dynamic sites with a visual builder; willing to tune projects
Key Strength	Machine-learning-assisted field detection; visual workflows; scheduling (plan dependent)	Mature packaging; add-ons and cloud operations; extensive documentation	Strong for complex/dynamic websites; visual builder
Key Weakness	Reviews cite instability/bugs; pricing/limits confusion; enterprise security documentation unclear	Add-on charges can be complex; some features gated by higher tiers	Higher starting cost; free tier limitations

01Competitive Landscape

Narrative analysis

ScrapeStorm vs Octoparse: Both target non-technical users. Octoparse has a more clearly articulated plan/add-on model (including documentation on plan-based vs usage-based charges). ScrapeStorm’s public pricing signals are less consistent, which can complicate budgeting.
ScrapeStorm vs ParseHub: ParseHub is often viewed as capable for complex sites, but with higher entry costs. ScrapeStorm is positioned as easier to use and potentially lower cost (depending on which public pricing is accurate), but receives more criticism for bugs and instability.
ScrapeStorm vs Apify: Apify is a cloud platform with an ecosystem of prebuilt scrapers and usage-based billing. Competitor-authored comparisons suggest differences in handling free credits, pagination, and scale; such claims should be validated against independent reviews and trial results.

Market adoption trends

Capterra shows a relatively high number of reviews and a high average rating, suggesting adoption among SMB users of data extraction tools.
G2 has fewer reviews, which may reflect lower coverage on that platform or different user bases.

	ScrapeStorm	Octoparse	ParseHub
Starting Price	Conflicting public figures across sources; Free tier exists	Free tier exists; paid plans commonly cited starting in the lower hundreds per month	Free tier exists; paid plans commonly cited starting in the hundreds per month
Best For	Non-coders wanting desktop visual scraping + task control API	Non-coders wanting templates, cloud runs, and add-ons like proxies/CAPTCHA solving	Users scraping dynamic sites with a visual builder; willing to tune projects
Key Strength	Machine-learning-assisted field detection; visual workflows; scheduling (plan dependent)	Mature packaging; add-ons and cloud operations; extensive documentation	Strong for complex/dynamic websites; visual builder
Key Weakness	Reviews cite instability/bugs; pricing/limits confusion; enterprise security documentation unclear	Add-on charges can be complex; some features gated by higher tiers	Higher starting cost; free tier limitations

ScrapeStorm

01Competitive Landscape

Narrative analysis

Market adoption trends

02Market Map

01Competitive Landscape

Narrative analysis

Market adoption trends

02Market Map