social-media Scenario 2 — Reddit — Extract Post Data
Written by RTILA X Engineering Team
Beginner ~4 min
What You'll Learn
Collect engagement metrics (likes, shares)
Real-World Use Case
Building a social media report
LIVE DEMO
Reddit Posts
Post titles, upvote counts, comment counts, and subreddit names.
EXPECTED OUTPUT
Reddit Posts
| title | upvotes | comment_count |
|---|---|---|
| Automation is the closest thing we have to superpowers. Start small, then scale. | 187 | 18 comments |
| Selectors are the foundation of every reliable web scraper. Master them early. | 221 | 31 comments |
| Just deployed my first pipeline using RTILA X. The JSON config model is incredib | 345 | 27 comments |
| Learning automation by pointing tools at deterministic demo pages is a game chan | 110 | 9 comments |
| CSS attribute selectors solved a scraping challenge I had been avoiding for week | 78 | 12 comments |
| Stable URLs and semantic markup make automation 100x easier. | 205 | 15 comments |
| Every demo I build now includes expected outputs. Self-verification is the best | 93 | 6 comments |
| XPath is verbose, but for complex DOM traversal it remains extremely powerful. | 166 | 24 comments |
| Understanding the Document Object Model is non-negotiable for automation develop | 144 | 11 comments |
| The best scraper is the one that handles errors without breaking silently. | 98 | 8 comments |
RTILA X PROJECT JSON
RTILA X Automation Project
extract-reddit-posts.json
{
"name": "Extract_Reddit_Posts",
"settings": {
"urls": [
"https://learn.rtila.com/scenarios/social-media/2"
]
},
"datasets": {
"reddit_posts": {
"item_selector": "css=.reddit-post",
"properties": [
{
"name": "title",
"type": "text",
"selector": "css=.post-title"
},
{
"name": "upvotes",
"type": "text",
"selector": "css=.post-upvotes"
},
{
"name": "comment_count",
"type": "text",
"selector": "css=.post-comment-count"
},
{
"name": "subreddit",
"type": "text",
"selector": "css=.post-subreddit"
}
]
}
}
}Reddit-style posts are collected with one dataset. Upvote and comment counts are read as text and can later be cast for calculations.
Did you complete this scenario?
Ready to run this automation?
Copy the project JSON above, open RTILA X, create a new project, and paste it.
This scenario covers 2 RTILA X commands and is referenced in 1 learning article.
Continue Learning
Was this helpful?
Thank you for your feedback!
Automation is the closest thing we have to superpowers. Start small, then scale.
187 18 comments r/webscrapingSelectors are the foundation of every reliable web scraper. Master them early.
221 31 comments r/webscrapingJust deployed my first pipeline using RTILA X. The JSON config model is incredib
345 27 comments r/webscrapingLearning automation by pointing tools at deterministic demo pages is a game chan
110 9 comments r/webscrapingCSS attribute selectors solved a scraping challenge I had been avoiding for week
78 12 comments r/webscrapingStable URLs and semantic markup make automation 100x easier.
205 15 comments r/webscrapingEvery demo I build now includes expected outputs. Self-verification is the best
93 6 comments r/webscrapingXPath is verbose, but for complex DOM traversal it remains extremely powerful.
166 24 comments r/webscrapingUnderstanding the Document Object Model is non-negotiable for automation develop
144 11 comments r/webscrapingThe best scraper is the one that handles errors without breaking silently.
98 8 comments r/webscraping