
As part of https://github.com/godfriedmeesters/diffscraper "DiffScraper", one or more bots can be deployed. Ready-to-use bots arehttps://github.com/godfriedmeesters/scraper/tree/main/companies " provided "that can extract offers from mobile applications, mobile websites and desktop websites.
DiffScraper bots need a connection to a central Redis database (to receive jobs from the controller and synchronize with other bots). In addition, all bots need a connection to a central FTP server (to upload screenshots). Redis and FTP connection details can be set in environmental variables as defined in https://github.com/godfriedmeesters/scraper/blob/main/.env ".env".
On every machine where bots will be deployed, the following requirements:
adb devices should return at least one device)DiffScraper Bot can be installed on any enviroment where Docker containers can be deployed. In this guide, I describe how to deploy bots, specialized in desktop web scraping, on a Kubernetes cluster. I also describe how to deploy one bot specialized in mobile phone scraping on a dedicated Windows machine.
Deploying a desktop website bot is the easiest, since no extra depencies are needed (e.g. a headful Chrome browser is included in the Dockerfile). To deploy desktop website bots on a Kubernetes cluster, run the following command (see https://github.com/godfriedmeesters/scraper/blob/main/config/webscraper-kubernetes-deployment.yaml "webscraper-kubernetes-deployment.yaml"):
kubectl --kubeconfig="my-kubeconfig.yaml" apply -f webscraper-kubernetes-deployment.yaml
This command will launch a ReplicaSet with two bots, and automatically connect to Redis to start processing scraping jobs.
To help in tracking scraping errors, logs of every bot can be centralized in ElasticSearch. A Kubernetes script is provided to send all bot logs to an ElasticSearch server:
kubectl --kubeconfig="my-kubeconfig.yaml" create -f filebeat-kubernetes.yaml
Deploying a mobile application web bot on a on-premise machine can be done with the provided docker-compose files. For example, to start a mobile application bot that connects to a real device smartphone, use docker-compose up -f docker-compose.scraper.realdevice.yml (see https://github.com/godfriedmeesters/scraper/blob/main/config/docker-compose.scraper.realdevice.yml"). It is assumed that an Appium server is started and listing for connections on the IP address specified by the APPIUM_HOST in the https://github.com/godfriedmeesters/scraper/blob/main/.env ".env file".
All logs will be sent to the ElasticSearch server specified in https://github.com/godfriedmeesters/configfiles/blob/main/filebeat.yml "filebeat.yml".
In a production system, a bot receives scraping jobs via a central Redis queue from the https://github.com/godfriedmeesters/controller "controller".
To test a (new) bot, it is possible to bypass the job queue and test the bot locally from within its Docker container.
For example, to start scraping offers from the French website of Opodo:
Enter into a running bot container:
kubectl --kubeconfig="my-kubeconfig.yaml" exec --stdin --tty webscraper-deployment--1 -- /bin/bash
This command will extract all offers from opodo.fr:
ts-node cli.ts scrape OpodoWebScraper inputData.json --lang=fr
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