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Scrapy VS PhantomStat

Compare Scrapy VS PhantomStat and see what are their differences

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Scrapy logo Scrapy

A Fast and Powerful Scraping and Web Crawling Framework

PhantomStat logo PhantomStat

Pro sports analytics for Football, MMA, MLB, NBA and Tennis โ€” xG, fatigue curves, and matchup tools most sites don't show.
  • Scrapy Landing page
    Landing page //
    2021-10-11
  • PhantomStat PhantomStat homepage โ€” Football, MMA, MLB, NBA, Tennis
    PhantomStat homepage โ€” Football, MMA, MLB, NBA, Tennis //
    2026-07-21
  • PhantomStat Manchester City team analytics page โ€” free preview (xG, form, cards)
    Manchester City team analytics page โ€” free preview (xG, form, cards) //
    2026-07-31
  • PhantomStat Jon Jones UFC fighter profile โ€” full fatigue curve
    Jon Jones UFC fighter profile โ€” full fatigue curve //
    2026-07-31
  • PhantomStat Carlos Alcaraz ATP tennis player analytics page
    Carlos Alcaraz ATP tennis player analytics page //
    2026-07-31
  • PhantomStat LeBron James NBA player page โ€” Form Explorer (PTS threshold view)
    LeBron James NBA player page โ€” Form Explorer (PTS threshold view) //
    2026-07-31
  • PhantomStat Jonathan Osorio โ€” soccer player Performance Explorer (Shots On Target threshold, match-by-match)
    Jonathan Osorio โ€” soccer player Performance Explorer (Shots On Target threshold, match-by-match) //
    2026-07-31
  • PhantomStat St. Louis Cardinals MLB team page โ€” Game Total threshold explorer, run distribution chart
    St. Louis Cardinals MLB team page โ€” Game Total threshold explorer, run distribution chart //
    2026-07-31
  • PhantomStat LeBron James NBA player page โ€” Prop Line Explorer, Points threshold histogram
    LeBron James NBA player page โ€” Prop Line Explorer, Points threshold histogram //
    2026-07-31
  • PhantomStat Jon Jones UFC fighter profile โ€” full stat grid + round-by-round Fatigue Curve (Pro)
    Jon Jones UFC fighter profile โ€” full stat grid + round-by-round Fatigue Curve (Pro) //
    2026-07-31
  • PhantomStat Carlos Alcaraz ATP tennis player page โ€” full career stat grid (serve/return, aces, tiebreak %)
    Carlos Alcaraz ATP tennis player page โ€” full career stat grid (serve/return, aces, tiebreak %) //
    2026-07-31

PhantomStat is a sports analytics platform built for the gap between casual score sites and paywalled pro tools, covering five sports: football, MMA/UFC, MLB, NBA and tennis.

Football โ€” free preview pages for 1,230+ teams and 1,960+ players, with modules for Attack vs Defense (xG/shots/goals), Form Index & Rebound, Goal Geolocation Map, Cards Intelligence, Corner Mastery, Top Scorers Cross-Ref, Referee Tendency, Goalkeeper Weakness and Penalty Shot Tracker.

MMA/UFC โ€” 465+ fighters, 180+ analyzed fights. Free preview shows per-minute striking/grappling rates, KO Power and Cardio scores, a Performance Explorer (set any stat line, see how often the fighter clears it) and Opponent Level context. Pro unlocks the round-by-round Fatigue Curve and Strike Targets & Control breakdown.

MLB โ€” eight modules: Plate Discipline Lab, Statcast Quality Hub, Performance Spectrum, Situational Splits Matrix, Today's Matchup, Pitcher Arsenal, WAR Decomposition and a Similarity Engine.

NBA โ€” 30 teams, 500+ players, live matchups. Form Explorer across PTS/REB/AST/3PM/PRA, Opponent Defense, Rest/Back-to-Back splits, a Filter Engine and a multi-line threshold view.

Tennis โ€” career averages (win rate, holds/breaks serve, serve/return splits, aces, unforced errors, tiebreak% and deciding-set%) on every ATP player page.

A free account unlocks a quota of pages across every sport, plus saved watchlists and personalized dashboards; Pro unlocks the advanced modules sport-wide.

Scrapy

Website
scrapy.org
$ Details
Platforms
-
Release Date
-

PhantomStat

$ Details
freemium $29.99 / Monthly (Pro)
Platforms
Web
Release Date
2026 June
Startup details
Country
France
State
Paris
City
paris
Employees
1 - 9

Scrapy features and specs

  • Efficiency
    Scrapy is designed to be efficient and robust, capable of handling multiple tasks simultaneously and scraping large websites in a fast and reliable manner.
  • Built-in Tooling
    Scrapy comes with built-in tools for handling common tasks such as following links, extracting data using XPath and CSS, and exporting data in a variety of formats.
  • Customization
    Scrapy offers extensive customization options, allowing users to build complex spiders and modify their behavior through middleware and pipelines.
  • Python Integration
    Being a Python framework, Scrapy integrates seamlessly with the Python ecosystem, enabling the use of libraries like Pandas, NumPy, and others to process and analyze scraped data.
  • Community Support
    Scrapy has a large and active community, providing extensive documentation, tutorials, and third-party extensions to enhance functionality.
  • Asynchronous Processing
    Scrapyโ€™s asynchronous processing model enhances performance by allowing multiple concurrent requests, reducing the time required for crawling sites.

Possible disadvantages of Scrapy

  • Steep Learning Curve
    For beginners, Scrapy's comprehensive feature set and the need for understanding concepts like XPath and CSS selectors can be challenging.
  • Resource Intensive
    Scrapy can be resource-intensive, potentially consuming significant memory and CPU, which can be problematic for scraping very large websites or running multiple spiders simultaneously.
  • Debugging Complexity
    Debugging Scrapy projects can be complex due to its asynchronous nature and the multiple layers of middleware and pipelines that need to be understood.
  • Overhead for Small Projects
    For simple or small-scale scraping tasks, the overhead of setting up and configuring a Scrapy project might be excessive, with simpler alternatives being more suitable.
  • Limited JavaScript Support
    Scrapy's out-of-the-box support for JavaScript-heavy websites is limited, requiring additional tools like Splash or Selenium, which can complicate the setup.
  • Dependency Management
    Managing Scrapy's dependencies and compatibility with other Python packages can sometimes be challenging, leading to potential conflicts and maintenance overhead.

PhantomStat features and specs

  • Soccer analytics
    xG, PSxGA, opponent shots on target and sliding form-window filters (last-5/last-10/season) on every soccer player and team page
  • MMA fatigue curves
    Round-by-round significant-strike fatigue curves, strike-target breakdown, and finish-rate profile for every active UFC fighter
  • MLB, NBA & tennis splits
    First-inning batter splits and daily matchup pages for MLB, opponent-defense splits for NBA, and serve/return breakdowns for tennis

Analysis of Scrapy

Overall verdict

  • Yes, Scrapy is a good option for those looking to implement web scraping projects due to its robust set of features, active community, and comprehensive documentation. It is particularly well-suited for projects that require scraping from multiple websites and processing large volumes of data efficiently.

Why this product is good

  • Scrapy is a popular open-source web crawling framework for Python that's designed for extensive, flexible, and efficient web scraping. Its built-in tools and features make it easy to extract data from websites quickly and automatically. Key advantages include its ability to handle requests asynchronously, its support for multiple protocols, its item pipeline feature that allows for data cleaning and storage, and its ease of integration with other Python libraries and databases.

Recommended for

    Scrapy is recommended for developers, data scientists, and businesses that need to gather data from websites efficiently. It's particularly useful for projects involving data aggregation, market research, competitive analysis, and monitoring pricing changes across various platforms.

Scrapy videos

Python Scrapy Tutorial - 22 - Web Scraping Amazon

More videos:

  • Demo - Scrapy - Overview and Demo (web crawling and scraping)
  • Review - GFuel LemoNADE Taste Test & Review! | Scrapy

PhantomStat videos

No PhantomStat videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Scrapy and PhantomStat)
Web Scraping
100 100%
0% 0
Live Scores
0 0%
100% 100
Data Extraction
100 100%
0% 0
Sports
0 0%
100% 100

Questions & Answers

As answered by people managing Scrapy and PhantomStat.

What's the story behind your product?

PhantomStat's answer:

PhantomStat started from a simple gap: casual sports sites stop at the final score and a season average, while the tools that go deeper are built for professionals and priced for them. The goal was to put real per-entity detail โ€” xG and PSxGA for soccer, round-by-round fatigue curves for MMA, matchup splits for MLB, opponent-defense splits for NBA, serve/return breakdowns for tennis โ€” one page away for any fan, on a free account rather than an enterprise contract. The paid Pro tier at $29.99 per month adds the full dashboards, the advanced filters and the historical archive.

How would you describe the primary audience of your product?

PhantomStat's answer:

Sports fans who want more than a final score, and fantasy/simulation players who need the underlying splits rather than a season average. That covers casual fans checking a player's recent form, fantasy managers comparing matchup histograms before setting a lineup, and anyone who follows football, MMA, MLB, NBA or tennis closely enough to want per-round, per-game or per-matchup detail instead of a single headline stat.

What makes your product unique?

PhantomStat's answer:

PhantomStat covers five sports in one platform โ€” football, MMA, MLB, NBA and tennis โ€” with dedicated pages per player, team, fighter and matchup. Instead of just headline numbers, each page surfaces the underlying breakdown: xG and PSxGA for football, per-round fatigue curves for MMA, a Prop Line Explorer with histograms for MLB, form and opponent-defense splits for NBA, and serve/return breakdowns for tennis. A free account unlocks a quota of pages across every sport; a paid Pro tier ($29.99 / โ‚ฌ29.99 / ยฃ24.99 per month) unlocks advanced filtering and the full historical archive.

Why should a person choose your product over its competitors?

PhantomStat's answer:

Most single-sport score sites stop at the headline number, and most deep-analytics tools are priced for professionals. PhantomStat covers five sports in one place (football, MMA, MLB, NBA, tennis) instead of forcing you to juggle a separate tool per sport, and every player, team, fighter and matchup gets its own page rather than a row in a table. A free account unlocks a quota of those pages across every sport; the full dashboards, filters and comparison tools are $29.99 per month. Pages are built for search too โ€” SEO-friendly URLs mean a specific player or matchup is usually one search away.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scrapy and PhantomStat

Scrapy Reviews

Top 15 Best TinyTask Alternatives in 2022
The software is simply deployable via the cloud, or you can host the spiders on your server using Scrapy. Only the rules need to be written; Scrapy will take care of the rest to separate the facts. With Scrapyโ€™s portability and ability to run on Windows, Linux, Mac, and BSD platforms, new features can be added without affecting the programโ€™s core.

PhantomStat Reviews

We have no reviews of PhantomStat yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Scrapy seems to be more popular. It has been mentiond 101 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Scrapy mentions (101)

  • Why everyone is talking about loop-engineering and how is it changing agentic ai workflows? Claude Code and Web Scraping examples
    Think about what a mature scraping project already contains. There is a schema that every item must validate against. There are field coverage thresholds, because a run where only 60% of products have prices is a failed run no matter what the exit code says. There are expected item counts, error rate ceilings, and finish reason checks. In the Scrapy world we even have a dedicated framework for all of this, and I... - Source: dev.to / about 2 months ago
  • How to write and publish a Python package to PyPI
    This guide walks through the full process using uv, a fast, modern Python toolchain that replaces pip, virtualenv, pip-tools, twine, and build with a single tool. We will write a reusable Scrapy download handler, structure it as a proper Python package, test it, and publish it to PyPI. - Source: dev.to / 3 months ago
  • How to tell if a page uses JavaScript rendering (and what to do about it)
    In Scrapy, Zyte API integrates via the scrapy-zyte-api package:. - Source: dev.to / 3 months ago
  • How to Use rs-trafilatura with Scrapy
    Scrapy is the standard Python framework for web scraping. It handles crawling, scheduling, and data pipelines. rs-trafilatura plugs into Scrapy as an item pipeline โ€” your spider yields items with HTML, and the pipeline adds structured extraction results automatically. - Source: dev.to / 4 months ago
  • Current problems and mistakes of web scraping in Python and tricks to solve them!
    One might ask, what about Scrapy? I'll be honest: I don't really keep up with their updates. But I haven't heard about Zyte doing anything to bypass TLS fingerprinting. So out of the box Scrapy will also be blocked, but nothing is stopping you from using curl_cffi in your Scrapy Spider. - Source: dev.to / almost 2 years ago
View more

PhantomStat mentions (0)

We have not tracked any mentions of PhantomStat yet. Tracking of PhantomStat recommendations started around Jul 2026.

What are some alternatives?

When comparing Scrapy and PhantomStat, you can also consider the following products

Apify - Apify is a web scraping and automation platform that can turn any website into an API.

LiveScore - Application that comes directly from LiveScore Ltd.

Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.

Sport Eden - Sport Eden is a modern, web-based sports information platform that brings together real-time scores, match timelines, detailed statistics, and global league coverage into a single clean and fast interface.

import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.

SofaScore - Football live scores on SofaScore livescore from 600+ soccer leagues. Follow live results, statistics, league tables, fixtures and videos from Champions League.