# 3. Run a spider using the hoaxly-scraping-container Respository: This is useful for testing your spider locally before using it to retrieve data regularly. For portia spiders: portiacrawl command (footnote 1). For spiders created programmatically: scrapy crawl cli command you will get a list of spiders if you run this command `docker exec portia portiacrawl [SPIDER] [OPTIONS] docker exec portia portiacrawl /app/data/projects/Hoaxlyspiders` For example, to run the climatefeedback.org crawler and save its output into /app/data/example-output/output.json using the hoaxly settings, you would run: `docker exec portia portiacrawl /app/data/projects/Hoaxlyspiders climatefeedback.org -o /app/data/example-output/output.json --settings=hoaxly` the more lowlevel command using scrapy looks like `scrapy crawl -s PROJECT_DIR=./ -s SPIDER_MANAGER_CLASS=slybot.spidermanager.SlybotSpiderManager snopes.com` You can also locally deploy exported spiders to the scrapingdaemon and schedule a run there to test what would happen in production environment there is a cli container supplied so you dont need to install any dependencies on your host Run: `docker exec -ti cli /bin/bash` Now you are in container and can tell you local scrapydaemon container to run these spiders `scrapyd-client deploy local scrapyd-client -t` [`http://scrapydaemon.hoaxly.docksal:6800`](http://scrapydaemon.hoaxly.docksal:6800) `schedule -p Hoaxlyspiders climatefeedback.org` and view your results in the storage container: **Footnotes** 1 --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://hoaxly.gitbook.io/documentation/developer-documentation/adding-new-sites-to-the-database/technical-steps-to-create-spiders/3.-run-a-spider-using-the-hoaxly-scraping-container.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.