Domain-Scoped Site Crawler for Markdown Datasets
Crawl a website from one or more start URLs, staying on the same domain, and get back clean Markdown, text, or HTML per page with title, description, and crawl depth. Built for feeding LLM, RAG, or knowledge-base pipelines.
Open in Apify Store$0.99 / 1K on Free
Short answer
Domain-Scoped Site Crawler for Markdown Datasets is an Apify Store Actor that returns 5 published output fields, including title, depth, wordCount, httpStatusCode. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 26 input settings; one is required (startUrls). Last updated Oct 17, 2026.
From the public Store listing and published build schema, synced 2026-11-12.What it returns
5 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.
urltitledepthwordCounthttpStatusCode
Input
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| startUrls | array | Yes | – | One or more URLs to start crawling from. The crawler follows links found on these pages and stays on the domain of the first start URL. |
| maxCrawlDepth | integer | No | 10 | How many links deep to follow from the start URLs. 0 means only the start URLs are crawled. |
| maxCrawlPages | integer | No | 20 | Maximum number of pages (and files) to store. The crawl stops when this limit is reached. |
| useSitemaps | boolean | No | false | Look for sitemaps (from robots.txt and /sitemap.xml) and enqueue the URLs they list. Finds pages that are not linked from the start URLs. |
| useLlmsTxt | boolean | No | false | Look for /llms.txt at the start URL domains and enqueue the files listed there (common on documentation sites). |
| respectRobotsTxtFile | boolean | No | true | Skip discovered pages that the site's robots.txt disallows. Start URLs are always crawled. |
| crawlOnlyPagesChangedSince | string | No | – | Optional date (YYYY-MM-DD or full ISO date-time). Crawls only pages that may have changed since then and outputs a delta. Leave empty to crawl everything. |
| includeUrlGlobs | array | No | [] | Only crawl discovered URLs matching these glob patterns (e.g. https://example.com/docs/*). Leave empty to allow everything on the domain. |
| excludeUrlGlobs | array | No | [] | Skip discovered URLs matching any of these glob patterns (e.g. *login*, *.pdf). |
| includeUrlRegexps | array | No | [] | Only crawl discovered URLs matching at least one of these regular expressions. Combined with glob patterns (both must pass when both are set). |
Show the other 16 settings
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| excludeUrlRegexps | array | No | [] | Skip discovered URLs matching any of these regular expressions. |
| keepUrlFragments | boolean | No | false | Treat URLs that differ only in #fragment as different pages. Enable for single-page sites that use fragments as routes. |
| ignoreCanonicalUrl | boolean | No | false | When disabled, pages whose canonical URL points to a page that was already crawled are skipped as duplicates. |
| outputFormat | string | No | markdown | How page content is returned. Markdown keeps headings, lists, tables, and links — best for LLMs and RAG. |
| htmlTransformer | string | No | auto | How the main content is isolated from navigation, footers, ads, and cookie banners. |
| includeImages | boolean | No | false | Add image references to the markdown field. Image URLs are always collected in the imageUrls field. |
| chunkMarkdown | boolean | No | false | Emit a chunks array per page — heading-aware Markdown pieces ready for embeddings. Code blocks and tables are never split, each piece carries its heading path and character count, and consecutive pieces overlap so context is kept at the boundaries. |
| chunkMaxChars | integer | No | 2000 | Target size of each chunk when chunkMarkdown is on. Code blocks and tables stay whole even when larger than this. |
| chunkOverlapChars | integer | No | 200 | Approximate overlap between consecutive chunks when chunkMarkdown is on, so context is not lost at chunk boundaries. |
| keepElementsCssSelector | string | No | – | Keep only the elements matching this CSS selector (e.g. article, main .content) before extraction. Leave empty to use the whole page. |
| removeElementsCssSelector | string | No | – | Remove elements matching this CSS selector (e.g. .sidebar, .ad, nav) before extraction. |
| parsePdfText | boolean | No | true | When a crawled URL serves a PDF, extract its text into the text field as a file record instead of skipping it. |
| clickElementsCssSelector | string | No | – | Click elements matching this CSS selector (e.g. [aria-expanded="false"]) before extraction to expand collapsed content. |
| takeScreenshots | boolean | No | false | Render every stored page in the browser and capture a full-page JPEG (quality 80) of it, putting its public URL in the screenshot field. Screenshots are held in memory until pushed and add roughly 0.3-1 MB and a fraction of a second per page; screenshot capture always runs after the page is rendered |
| customHttpHeaders | array | No | [] | Extra request headers for all engines and discovery requests, as a list of {"key", "value"} pairs (e.g. an Authorization token or a specific User-Agent for sites that ask for one). Transport/framing and cookie headers (Host, Cookie, Content-Length, Connection, ...) are rejected so the actor stays co |
| storeSkippedUrls | boolean | No | false | Save a SKIPPED_URLS record to the key-value store listing skipped URLs grouped by reason (robots, blocked, non-HTML, errors, duplicates). |
Example input
Built from the input form's published example values and defaults.
{
"startUrls": [
{
"url": "https://docs.apify.com"
}
],
"maxCrawlDepth": 1,
"maxCrawlPages": 3,
"useSitemaps": false,
"useLlmsTxt": false,
"respectRobotsTxtFile": true,
"includeUrlGlobs": [],
"excludeUrlGlobs": [],
"includeUrlRegexps": [],
"excludeUrlRegexps": [],
"keepUrlFragments": false,
"ignoreCanonicalUrl": false,
"outputFormat": "markdown",
"htmlTransformer": "auto",
"includeImages": false,
"chunkMarkdown": false,
"chunkMaxChars": 2000,
"chunkOverlapChars": 200,
"parsePdfText": true,
"takeScreenshots": false,
"customHttpHeaders": [],
"storeSkippedUrls": false
} 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 = {
"startUrls": [
{
"url": "https://docs.apify.com"
}
],
"maxCrawlDepth": 1,
"maxCrawlPages": 3,
"useSitemaps": False,
"useLlmsTxt": False,
"respectRobotsTxtFile": True,
"includeUrlGlobs": [],
"excludeUrlGlobs": [],
"includeUrlRegexps": [],
"excludeUrlRegexps": [],
"keepUrlFragments": False,
"ignoreCanonicalUrl": False,
"outputFormat": "markdown",
"htmlTransformer": "auto",
"includeImages": False,
"chunkMarkdown": False,
"chunkMaxChars": 2000,
"chunkOverlapChars": 200,
"parsePdfText": True,
"takeScreenshots": False,
"customHttpHeaders": [],
"storeSkippedUrls": False
}
run = client.actor("vexaloom-labs/domain-scoped-site-crawler-for-markdown-datasets").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 = {
"startUrls": [
{
"url": "https://docs.apify.com"
}
],
"maxCrawlDepth": 1,
"maxCrawlPages": 3,
"useSitemaps": false,
"useLlmsTxt": false,
"respectRobotsTxtFile": true,
"includeUrlGlobs": [],
"excludeUrlGlobs": [],
"includeUrlRegexps": [],
"excludeUrlRegexps": [],
"keepUrlFragments": false,
"ignoreCanonicalUrl": false,
"outputFormat": "markdown",
"htmlTransformer": "auto",
"includeImages": false,
"chunkMarkdown": false,
"chunkMaxChars": 2000,
"chunkOverlapChars": 200,
"parsePdfText": true,
"takeScreenshots": false,
"customHttpHeaders": [],
"storeSkippedUrls": false
};
const run = await client.actor("vexaloom-labs/domain-scoped-site-crawler-for-markdown-datasets").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~domain-scoped-site-crawler-for-markdown-datasets/run-sync-get-dataset-items" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"startUrls":[{"url":"https://docs.apify.com"}],"maxCrawlDepth":1,"maxCrawlPages":3,"useSitemaps":false,"useLlmsTxt":false,"respectRobotsTxtFile":true,"includeUrlGlobs":[],"excludeUrlGlobs":[],"includeUrlRegexps":[],"excludeUrlRegexps":[],"keepUrlFragments":false,"ignoreCanonicalUrl":false,"outputFormat":"markdown","htmlTransformer":"auto","includeImages":false,"chunkMarkdown":false,"chunkMaxChars":2000,"chunkOverlapChars":200,"parsePdfText":true,"takeScreenshots":false,"customHttpHeaders":[],"storeSkippedUrls":false}' 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/domain-scoped-site-crawler-for-markdown-datasets",
"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
- crawl website pages
- extract page content
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Questions people ask
How much does Domain-Scoped Site Crawler for Markdown Datasets 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 Domain-Scoped Site Crawler for Markdown Datasets return?
Its published output schema lists 5 fields: url, title, depth, wordCount, httpStatusCode. A listed field is not guaranteed to be filled in every row.
What input does Domain-Scoped Site Crawler for Markdown Datasets need?
Required: startUrls. Optional settings include maxCrawlDepth, maxCrawlPages, useSitemaps, useLlmsTxt, respectRobotsTxtFile, crawlOnlyPagesChangedSince.
How do I run Domain-Scoped Site Crawler for Markdown Datasets from Python or the API?
Use the Apify API client: in Python, ApifyClient(token).actor("vexaloom-labs/domain-scoped-site-crawler-for-markdown-datasets").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("vexaloom-labs/domain-scoped-site-crawler-for-markdown-datasets").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/vexaloom-labs~domain-scoped-site-crawler-for-markdown-datasets/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.
Sources
- Domain-Scoped Site Crawler for Markdown Datasets on Apify Store
- Published build with input and output schema (JSON)
Cite this page
Scraper Finder. "Domain-Scoped Site Crawler for Markdown Datasets." https://scraperfinder.com/catalogue/domain-scoped-site-crawler-for-markdown-datasets/ (data checked 2026-11-12).
Run Domain-Scoped Site Crawler for Markdown Datasets
$0.99 per 1,000 results. Paste the example input above, set your target query, then export the dataset.