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GraphHopper vs Scrapy

Professional comparison and analysis to help you choose the right software solution for your needs.

GraphHopper icon
GraphHopper
Scrapy icon
Scrapy

GraphHopper vs Scrapy: The Verdict

⚡ Summary:

GraphHopper : GraphHopper is an open-source routing engine for various forms of transportation. It is optimized for fast calculations and uses road network data from OpenStreetMap to find the best route between locations for driving, walking, cycling and more.

Scrapy: Scrapy is an open-source web crawling framework used for scraping, parsing, and storing data from websites. It is written in Python and allows users to extract data quickly and efficiently, handling tasks like crawling, data extraction, and more automatically.

Both tools serve their respective audiences. Compare the features, pricing, and user ratings above to determine which best fits your needs.

Last updated: May 2026 · Comparison by Sugggest Editorial Team

Feature GraphHopper Scrapy
Sugggest Score — —
Category Ai Tools & Services Development
Pricing Open Source Open Source

Product Overview

GraphHopper
GraphHopper

Description: GraphHopper is an open-source routing engine for various forms of transportation. It is optimized for fast calculations and uses road network data from OpenStreetMap to find the best route between locations for driving, walking, cycling and more.

Type: software

Pricing: Open Source

Scrapy
Scrapy

Description: Scrapy is an open-source web crawling framework used for scraping, parsing, and storing data from websites. It is written in Python and allows users to extract data quickly and efficiently, handling tasks like crawling, data extraction, and more automatically.

Type: software

Pricing: Open Source

Key Features Comparison

GraphHopper
GraphHopper Features
  • Open source routing engine
  • Uses OpenStreetMap data
  • Supports driving, walking, cycling and other modes of transport
  • Fast route calculation
  • Web API for querying routes
  • Supports multiple vehicle profiles
  • Can find shortest or fastest routes
  • Has turn-by-turn instructions
  • Can optimize routes for multiple stops
  • Has traffic avoidance
Scrapy
Scrapy Features
  • Web crawling and scraping framework
  • Extracts structured data from websites
  • Built-in support for selecting and extracting data
  • Async I/O and item pipelines for efficient scraping
  • Built-in support for common formats like JSON, CSV, XML
  • Extensible through a plug-in architecture
  • Wide range of built-in middlewares and extensions
  • Integrated with Python for data analysis after scraping
  • Highly customizable through scripts and signals
  • Support for broad crawling of websites

Pros & Cons Analysis

GraphHopper
GraphHopper

Pros

  • Free and open source
  • Very fast route calculation
  • Flexible transportation mode support
  • Uses community maintained OpenStreetMap data
  • Has API for integration
  • Active development community

Cons

  • Limited user-friendly interfaces
  • Requires technical expertise to setup and use
  • Routing quality depends on OpenStreetMap data completeness
  • Limited public transit support
Scrapy
Scrapy

Pros

  • Fast and efficient scraping
  • Easy to scale and distribute
  • Extracts clean, structured data
  • Mature and well-supported
  • Integrates well with Python ecosystem
  • Very customizable and extensible

Cons

  • Steep learning curve
  • Configuration can be complex
  • No GUI or visual interface
  • Requires proficiency in Python
  • Not ideal for simple one-off scraping tasks

Pricing Comparison

GraphHopper
GraphHopper
  • Open Source
Scrapy
Scrapy
  • Open Source

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Learn More About Each Product

GraphHopper
GraphHopper
Reviews, pricing & alternatives →
Scrapy
Scrapy
Reviews, pricing & alternatives →

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