A docker container wrapping a tool to continuously scrape Tweetdeck tweets, store them in ElasticSearch and add scraped ids to a RabbitMQ queue.
The extracted information are:
- Id
- Publish date
- Download date
- Author
- Language
- Text
- Full body
- Image url
Sensible settings are configured in a .env file, these are exported as env variables when running the container so can be changed even after the container is built:
Twitter account params:
$ cd tweetdeck-scraper
$ echo "TWITTER_USERNAME=username" > .env
$ echo "TWITTER_PASWORD=password" >> .env
Elasticsearch settings:
$ echo "ES_HOST=localhost" >> .env
$ echo "ES_PORT=9200" >> .env
$ echo "ES_CURRENT=index_name" >> .env
$ echo "ES_USERNAME=username" >> .env
$ echo "ES_SECRET=password" >> .env
RabbitMQ settings:
$ echo "RMQ_HOST=localhost" >> .env
$ echo "RMQ_PORT=5762" >> .env
$ echo "RMQ_QUEUE=tweetdeck" >> .env
$ echo "RMQ_USERNAME=username" >> .env
$ echo "RMQ_PASSWORD=password" >> .env
Additional settings can be found inside tweetdeck_scraper/settings.py and should be modified before building the container.
DEBUG
When True additional infos are logged.
LOG_PATH
The path of the log file.
SCRAPE_INTERVAL
Seconds between scraping actions.
COLUMNS
Which columns to scrape, value can be 'ALL' or a list of xpaths.
Build the container
$ ./build-docker.sh
Run the container
$ ./run-docker.sh
Enjoy :)
It is your responsibility to ensure that your use of tweetdeck-scraper does not violate applicable laws.
Tweetdeck Scraper is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.