ScraperCity is a ready-to-use web scraping platform for marketing and sales lead generation. Its pitch is simple: βpaste a search URL, run it, download a CSV,β with no coding or environment setup required. It covers a wide range of data use cases, including Apollo, Google Maps, Yelp, ecommerce stores, BuiltWith, YouTube, Airbnb, real estate, and people search, and also offers lead-enrichment features such as email lookup, email verification, mobile number lookup, and skip tracing.
Based on the scraped content, ScraperCity feels more like a βlead generation toolkitβ than a single-purpose SEO tool. Marketing teams can use it to scrape local businesses, B2B contacts, websites by tech stack, and ecommerce store contacts, then clean and enrich the results with tools such as Email Validator and Email Finder. Its Lead Database claims to offer access to millions of B2B contacts, but instant database search appears to be mainly available on the higher-tier Scale plan. The page lists per-result pricing and the number of results included in different plans, but does not explain data licensing, update frequency, or geographic coverage.
Pricing uses a subscription-plus-credits model: Starter is $49/month, Growth is $149/month, and Scale is $649/month. Different tasks consume credits based on results, for example Apollo at $0.0039/lead, Google Maps at $0.01/place, Email Finder at $0.05/contact, and Mobile Finder at $0.25/input. The platform offers a $5 free test credit, but the FAQ clearly states that once the credit is used up or after 7 days, users will be automatically enrolled in the $149/month plan. Pay close attention to cancellation and billing rules before starting the trial.
Its main strength is automation and integration. In addition to the web interface and CSV export, ScraperCity provides an API and Webhooks, and connects to AI Agents such as Cursor and Claude Code via an MCP Server. It also mentions usage within Clay, n8n, and HubSpot workflows. For growth teams comfortable with automation, it can connect scraping, verification, enrichment, and CRM import into a single pipeline. Non-technical users can also operate it directly through the Web App.
Its strengths include a wide variety of data sources, a low barrier to entry, relatively transparent pricing, and support for pay-per-result usage. The downsides are that tasks such as Apollo may take 11β48 hours or more, and complex workflows can consume credits quickly. Sensitive data use cases such as people search and background checks also require companies to assess compliance risks on their own. ScraperCity is suitable for SDR teams, growth marketing, local business lead generation, SaaS companies expanding overseas, and teams using AI coding tools to build lead-generation automation.
The page does not provide information about access from mainland China, payment methods, or local compliance, so its accessibility from China should be considered unknown. For teams in China, it is best to use the free credit first to test network connectivity, API stability, and payment availability. Comparable alternatives include Apollo, Clay, Apify, PhantomBuster, Outscraper, Browse AI, BuiltWith, and Store Leads.
β This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on scrapercity.com official site.
scrapercity.com is an Unknown Marketing & SEO provider. TG4G tracks its product information, with monthly pricing from $149.00, an overall rating of 7.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach scrapercity.com directly.