1-DAV-202 Data Management 2023/24
Previously 2-INF-185 Data Source Integration
Difference between revisions of "HWweb"
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− | '''General goal:''' Scrape comments from user discussions at the <tt> | + | '''General goal:''' Scrape comments from user discussions at the <tt>pravda.sk</tt> website. Store comments from several (hundreds) users from the last month in an SQLite3 database. |
===Task A=== | ===Task A=== | ||
− | Create SQLite3 "database" with appropriate schema for storing comments from | + | Create SQLite3 "database" with appropriate schema for storing comments from pravda.sk discussions. |
− | For each comment you should be able to tell its content | + | For each comment you should be able to tell its content, date, time and who wrote it. You don't need to store which comment replies to which one. |
− | For each user you should be able to retrieve her/his comments and also her/his name | + | For each user you should be able to retrieve her/his comments and also her/his name. |
You will probably need tables for users and comments. | You will probably need tables for users and comments. | ||
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===Task B=== | ===Task B=== | ||
− | Build a crawler, which crawls comments in | + | Build a crawler, which crawls comments in pravda.sk discussions. |
You have two options: | You have two options: | ||
− | * For fewer points: Script which gets URL of a user (e.g. | + | * For fewer points: Script which gets URL of a user (e.g. https://debata.pravda.sk/profil/debata/anysta/) and crawls the comments of this user from the last month. |
* For more points: Scripts which gets one starting URL (either user profile or some discussion, your choice) and automatically discovers users and crawls their comments. | * For more points: Scripts which gets one starting URL (either user profile or some discussion, your choice) and automatically discovers users and crawls their comments. | ||
Latest revision as of 10:14, 29 March 2024
See the lecture
Submit by copying requested files to /submit/web/username/
General goal: Scrape comments from user discussions at the pravda.sk website. Store comments from several (hundreds) users from the last month in an SQLite3 database.
Task A
Create SQLite3 "database" with appropriate schema for storing comments from pravda.sk discussions. For each comment you should be able to tell its content, date, time and who wrote it. You don't need to store which comment replies to which one. For each user you should be able to retrieve her/his comments and also her/his name. You will probably need tables for users and comments.
Submit two files:
- db.sqlite3 - the database
- schema.txt - a brief description of your schema and rationale behind it
Task B
Build a crawler, which crawls comments in pravda.sk discussions. You have two options:
- For fewer points: Script which gets URL of a user (e.g. https://debata.pravda.sk/profil/debata/anysta/) and crawls the comments of this user from the last month.
- For more points: Scripts which gets one starting URL (either user profile or some discussion, your choice) and automatically discovers users and crawls their comments.
This crawler should store the comments in SQLite3 database built in the previous task.
Submit the following:
- db.sqlite3 - the database
- every python script used for crawling
- README (how to start your crawler)