Apartment Therapy Article Scraper
Scrape articles from Apartment Therapy - home decor, interior design, DIY, and small-space content from apartmenttherapy.com, with title, author, category, tags, and image for each article.
Open in Apify Store$0.99 / 1K on Free
Short answer
Apartment Therapy Article Scraper is an Apify Store Actor that returns 14 published output fields, including title, articleUrl, sourceUrl, author. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 10 input settings, none required. Last updated Nov 11, 2026.
From the public Store listing and published build schema, synced 2026-11-12.What it returns
14 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.
titlearticleUrlsourceUrlauthorpublishDatecategorycategorySlugtagssummaryimageUrlfeeddataSourcerecordTypescrapedAt
Input
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| mode | string | No | getLatest | What to scrape: getLatest (newest articles), searchArticles (keyword search across the live feed and archive), or browseCategory (browse a topic). |
| query | string | No | – | Keyword(s) to search in titles, summaries, categories and tags. Used when mode=searchArticles. |
| category | string | No | main | Topic to browse. Used when mode=browseCategory; `main` means all topics. |
| authorFilter | string | No | – | Keep only articles whose author name contains this text (case-insensitive). |
| feed | string | No | main | Which Apartment Therapy feed to read: main (home & design), tech (home technology), or all. |
| sortBy | string | No | relevance | Result order. relevance suits keyword searches; newest and oldest sort by publish date. |
| dateFrom | string | No | – | Optional earliest publish date, YYYY-MM-DD. |
| dateTo | string | No | – | Optional latest publish date, YYYY-MM-DD. |
| maxItems | integer | No | 50 | Maximum number of articles to return (1–200). |
| maxPages | integer | No | 2 | How many historical RSS snapshots to scan beyond the live feed. 1 = live feed only; 20 = deepest available history. |
Example input
Built from the input form's published example values and defaults.
{
"mode": "getLatest",
"query": "small apartment ideas",
"category": "main",
"feed": "main",
"sortBy": "relevance",
"maxItems": 3,
"maxPages": 1
} Run it from code or an AI agent
The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.
Python
from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
"mode": "getLatest",
"query": "small apartment ideas",
"category": "main",
"feed": "main",
"sortBy": "relevance",
"maxItems": 3,
"maxPages": 1
}
run = client.actor("vexaloom-labs/apartment-therapy-article-scraper").call(run_input=run_input)
if run is None:
raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item) pip install apify-client
JavaScript
import { ApifyClient } from "apify-client";
const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
"mode": "getLatest",
"query": "small apartment ideas",
"category": "main",
"feed": "main",
"sortBy": "relevance",
"maxItems": 3,
"maxPages": 1
};
const run = await client.actor("vexaloom-labs/apartment-therapy-article-scraper").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items); npm install apify-client
cURL
curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~apartment-therapy-article-scraper/run-sync-get-dataset-items" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"mode":"getLatest","query":"small apartment ideas","category":"main","feed":"main","sortBy":"relevance","maxItems":3,"maxPages":1}' Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).
MCP (AI agents)
{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com?tools=vexaloom-labs/apartment-therapy-article-scraper",
"headers": {
"Authorization": "Bearer <YOUR_APIFY_TOKEN>"
}
}
}
} Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.
What a run costs
The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.
| Apify plan | Per 1,000 | 10,000 results | 100,000 results |
|---|---|---|---|
| Free plan | $0.99 | $9.90 | $99 |
| Starter plan | $0.82 | $8.20 | $82 |
| Scale plan | $0.66 | $6.60 | $66 |
| Business plan | $0.49 | $4.90 | $49 |
- Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
- The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
- Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
- Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.
What people use it for
- search articles
- browse topic content
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Questions people ask
How much does Apartment Therapy Article Scraper cost?
The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.
What data does Apartment Therapy Article Scraper return?
Its published output schema lists 14 fields: title, articleUrl, sourceUrl, author, publishDate, category, categorySlug, tags, summary, imageUrl, feed, dataSource, and 2 more. A listed field is not guaranteed to be filled in every row.
What input does Apartment Therapy Article Scraper need?
No input is strictly required; the defaults run as is. Common settings: mode, query, category, authorFilter, feed, sortBy.
How do I run Apartment Therapy Article Scraper from Python or the API?
Use the Apify API client: in Python, ApifyClient(token).actor("vexaloom-labs/apartment-therapy-article-scraper").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("vexaloom-labs/apartment-therapy-article-scraper").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/vexaloom-labs~apartment-therapy-article-scraper/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.
Sources
- Apartment Therapy Article Scraper on Apify Store
- Published build with input and output schema (JSON)
Cite this page
Scraper Finder. "Apartment Therapy Article Scraper." https://scraperfinder.com/catalogue/apartment-therapy-article-scraper/ (data checked 2026-11-12).
Run Apartment Therapy Article Scraper
$0.99 per 1,000 results. Paste the example input above, set your target query, then export the dataset.