Who should use spider-flow vs Scrapy, and what are the core differences?

[spider-flow](https://github.com/ssssssss-team/spider-flow) fits teams that want scraping logic to be productized and operated visually: flows are stored as graphs, and branches/loops/fallbacks are explicit structures; extraction mixes XPath/JsonPath/CSS/regex, and dynamic rendering can be assembled via executors like Selenium. In contrast, [Scrapy](https://scrapy.org) is a code-first Python framework where extensions and debugging rely heavily on engineering code and self-built ops pieces (scheduling, monitoring, UI). Scrapy wins in deep customization and code-level control, while spider-flow reduces cross-role collaboration friction and ops visibility cost.

How do I design reusable nodes so my flowchart doesn't turn into spaghetti?

Treat each node as a testable function: define clear inputs (page, fields, context variables), stable outputs (structured fields, next-hop parameters), and concentrate side effects (DB/file writes at the end). For pagination and branching, iterate from a minimal runnable trunk, then expand using reusable subflows; lift selectors and constants into variables to avoid scattered hardcoding. Finally, replay job logs to find high-failure nodes and optimize rule hit rates as first-class metrics.

Spider-Flow Deep Dive: Visual Crawler Alternative to Scrapy

spider-flow turns crawler building from code-heavy scripts into flow design: you connect requests, parsing, cleaning, branching, loops, and persistence as a flowchart, while the platform compiles nodes into an executable job chain with observable runtime states. Built on Spring Boot, it ships a web console plus scheduling entry points; the parsing layer centers around jsoup and combines XPath/JsonPath/CSS/regex so extraction becomes composable nodes instead of tangled selectors. For dynamic rendering and anti-bot realities, plugins such as Selenium expose browser rendering as a pluggable executor, letting you upgrade capability on demand without inflating the core. With plugin packs for Redis, MongoDB, object storage, proxy pools, OCR, and email, it compresses the infrastructure wiring into configuration and focuses engineering effort on reusable flows and operational replayability.

✕Traditional Pain Points	✓Innovative Solutions
Script-based crawlers blow up in complexity: once retries, pagination, branches, cleaning, and multi-sink outputs land, the code becomes an unmaintainable state machine.	spider-flow makes crawler logic explicit as flowcharts; nodes are capability units, and branches/loops/error handling become visible structures that are easier to maintain and collaborate on.
Most scraping pipelines lack observability: failure points, rule hit rates, latency, and output quality hide in logs, making debugging and postmortems expensive.	Decouples extraction grammars (XPath/JsonPath/CSS/regex) from executor plugins (e.g., Selenium rendering) so the core stays lightweight while capabilities are assembled on demand; monitoring and logs turn runtime into auditable assets.

Core Scene	Target Audience	Solution	Outcome
E-commerce Competitor Scraping to DB	Data analysts & operators	Build visual flows to crawl listings/details and persist to business databases	Create traceable price/stock datasets to power iteration
Public Opinion and Content Monitoring Bot	PR & content teams	Schedule crawls and extract titles/bodies/keywords by rules	Replace manual checks with alerts, reducing misses and latency
Test Data Generation Pipeline	QA & backend engineers	Batch crawl samples and clean into standardized JSON/CSV	Produce stable, high-quality datasets and cut manual data crafting

Spider-Flow

What is it?

Pain Points vs Innovation

Architecture Deep Dive

Deployment Guide

1. Clone the repo and prepare JDK + Maven (JDK 8+ recommended)

2. Configure application.properties for your database (e.g., MySQL JDBC URL, user, password)

3. Start the Spring Boot app via Maven (great for local dev and quick runs)

4. Open the console in your browser and start building flows

Use Cases

Limitations & Gotchas

Frequently Asked Questions