The Future of Edge Computing in 2025
Edge computing is moving from niche to mainstream as latency-sensitive applications demand local processing power.
Written by RTILA X Engineering Team
Extract list pages and detail pages in one workflow
Scraping a blog archive with article details
Edge computing is moving from niche to mainstream as latency-sensitive applications demand local processing power.
Distributed teams consistently outperform their office-based peers when supported by the right tools and culture.
New delivery mechanisms are making CRISPR therapies safer and more effective for previously untreatable genetic conditions.
Small daily routines can dramatically improve sleep quality and long-term health outcomes.
Beyond the famous temples and beaches, Southeast Asia offers tranquil villages, dramatic landscapes, and rich local culture.
WebAssembly is quietly becoming the preferred runtime for performance-critical code in the browser and beyond.
Separating storefront from backend gives retailers the flexibility to create unique customer experiences.
Quantum computing continues incremental but meaningful progress, with new qubit architectures and error-correction milestones.
Balanced nutrition and movement patterns are key to steady energy and metabolic health.
The Greek islands offer a remarkable diversity of landscapes, history, and food within easy reach of one another.
{
"name": "Blog_List_And_Details",
"settings": {
"urls": [
"https://learn.rtila.com/scenarios/pagination/7"
]
},
"datasets": {
"blog_articles": {
"item_selector": "css=.blog-post",
"properties": [
{
"name": "title",
"type": "text",
"selector": "css=.post-title"
},
{
"name": "excerpt",
"type": "text",
"selector": "css=.post-excerpt"
},
{
"name": "article_url",
"type": "attribute",
"selector": "css=.post-title a",
"attribute": "href"
}
]
},
"full_article": {
"item_selector": "css=article",
"properties": [
{
"name": "full_text",
"type": "text",
"selector": "css=p"
},
{
"name": "page_url",
"type": "page_url",
"selector": ""
}
]
}
},
"commands": [
{
"command": "wait_for_selector",
"params": {
"selector": "css=.blog-post"
}
},
{
"command": "extract_data",
"params": {
"dataset": "blog_articles"
}
},
{
"command": "for_each",
"params": {
"source_type": "dataset",
"dataset": "blog_articles",
"as": "item",
"do": [
{
"command": "goto",
"params": {
"url": "${item.article_url}"
}
},
{
"command": "wait_for_selector",
"params": {
"selector": "css=.post-title"
}
},
{
"command": "extract_data",
"params": {
"dataset": "full_article"
}
},
{
"command": "go_back",
"params": {}
}
]
}
}
]
}
This advanced workflow demonstrates the for_each pattern with go back navigation. After extracting the list, the automation iterates over each extracted row, opens the detail page, pulls the full article, and returns to the list.
Copy the project JSON above, open RTILA X, create a new project, and paste it.
This scenario covers 3 RTILA X commands and is referenced in 2 learning articles.
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