
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. |
1git clone https://github.com/ssssssss-team/spider-flow.git1sed -n '1,120p' src/main/resources/application.properties1mvn -q spring-boot:run1open http://localhost:8080| 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 |