# S-REIT Metrics Extractor (DPU, Gearing, ICR, Occupancy, WALE) (`ljwlcf/sreit-metrics-extractor`) Actor

Turn Singapore REIT results press releases, financial statements and presentations (PDF) into structured JSON: DPU, aggregate leverage, interest coverage, occupancy, WALE, cost of debt, fixed-rate debt and NAV per unit, each with page number, source quote, currency and confidence.

- **URL**: https://apify.com/ljwlcf/sreit-metrics-extractor.md
- **Developed by:** [William Li](https://apify.com/ljwlcf) (community)
- **Categories:** Business, Developer tools, Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$30.00 / 1,000 document extracteds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## S-REIT Metrics Extractor: DPU, Gearing, ICR, Occupancy and WALE from Singapore REIT PDFs

Turn **Singapore REIT (S-REIT) results press releases, financial statements and results presentations** into clean, structured JSON. Every number comes with the **page number and the exact text it came from**, so you can check it in seconds.

Built for investors, analysts, fintech builders and AI agents who need S-REIT fundamentals **the day results come out**, not weeks later when a screener updates.

### What it extracts

| Field | Example | Notes |
|---|---|---|
| `dpu_cents` | 11.51 | Distribution per unit (or per stapled security), in cents. `unit` says `SGD cents` or `USD cents` |
| `aggregate_leverage_pct` | 41.4 | Aggregate leverage / gearing |
| `interest_coverage_x` | 2.6 | Interest coverage ratio (ICR) |
| `occupancy_pct` | 91.9 | Committed / portfolio occupancy |
| `wale_years` | 4.8 | Weighted average lease expiry |
| `avg_cost_of_debt_pct` | 3.52 | Average / all-in cost of debt |
| `fixed_rate_debt_pct` | 75.5 | Share of debt at fixed or hedged rates |
| `nav_per_unit` | 1.73 | Net asset value per unit. `unit` says `SGD` or `USD` |

It also returns the REIT name, the reporting period (e.g. `1H 2026`, `1Q FY26/27`), the document's `reporting_currency` and its `document_type` (`report` or `slides`).

Each metric includes:

- `page`: the page it was found on
- `snippet`: the source text around the number. On slides, a KPI tile (a big number with its label above or below it) is read by position, and its snippet starts with `[tile]` followed by the label and the value, e.g. `[tile] Aggregate Leverage 44.9%`.
- `currency`: `SGD` or `USD` for DPU and NAV; `null` for ratios
- `confidence`: `high`, `medium` or `low`. Values from slide decks are never `high`. Occupancy whose scope is `unclear` is `low`, because occupancy is often quoted for one property without saying so.
- `scope`: `portfolio`, `segment_or_asset` or `unclear`. REITs often quote occupancy or WALE for one mall, one country or their top 10 tenants, and slides show market figures (e.g. "Submarket Occupancy"). Those are flagged as `segment_or_asset` instead of being passed off as the portfolio figure, and a portfolio-level figure is always preferred when the document has one.

### Which PDF to use

**Best: the results press release (news release / media release) or the financial statements.** These are written in full sentences and tables, and extraction is most reliable on them.

Presentation slides and business updates also work, and **are free for now**. Slide layouts (KPI tiles, multi-column tables, charts) are harder to read, so expect more gaps and check `medium`-confidence values against the quoted page. Slide decks stay free until their extraction accuracy matches that on press releases.

US-dollar REITs (e.g. Manulife US REIT, Prime US REIT) are supported: their DPU and NAV come back labelled `USD`. DPU and NAV from REITs that report in other currencies (EUR, GBP) are not returned yet, and the row carries a warning instead.

### Example output

```json
{
  "source": "https://links.sgx.com/.../897539_ESR-REIT%20-%201H2026%20Results%20News%20Release.pdf",
  "reit_name": "ESR-REIT",
  "period": "1H 2026",
  "reporting_currency": "SGD",
  "document_type": "report",
  "status": "ok",
  "billed": true,
  "metrics_found": 7,
  "metrics": {
    "dpu_cents": {
      "value": 11.51, "unit": "SGD cents", "currency": "SGD", "page": 1,
      "snippet": "…with Total DPU growing 2.4% y-o-y to 11.510 Singapore cents…",
      "confidence": "high", "scope": "portfolio"
    },
    "aggregate_leverage_pct": {
      "value": 41.4, "unit": "%", "currency": null, "page": 1,
      "snippet": "…Gearing at 41.4%; expected to reduce to 39.9% after rede…",
      "confidence": "high", "scope": "portfolio"
    },
    "fixed_rate_debt_pct": {
      "value": 75.5, "unit": "%", "currency": null, "page": 5,
      "snippet": "As at 30 June 2026, approximately 75.5% of ESR-REIT's debt is on fixed interest rates…",
      "confidence": "medium", "scope": "portfolio"
    }
  }
}
```

### How to use

1. Paste one or more public PDF URLs into **PDF documents**. Optionally add `reitName` per document (slide decks often show the name only as a logo).
2. Run. You get one dataset row per document.
3. Export to JSON, CSV or Excel, or call it from the API, Make, Zapier or an AI agent through Apify's MCP server.

**Tip:** pair it with an SGX announcements Actor. Pull this week's REIT announcements, keep the results press release links, and pass them here.

### Pricing

Pay per document, $0.03 for each **press release or financial statement with at least 3 metrics found** (values flagged as one segment or asset, or with `low` confidence, don't count).

Free:

- **Slide decks and business updates: free for now.** For best results, pass the press release or financial statements.
- Documents with fewer than 3 metrics, documents that aren't results announcements, scanned PDFs and downloads that fail.

Every row says whether it was charged: `billed` is `true` or `false`, and free rows carry a `billing_note` saying why.

If you set a **maximum cost per run**, the run stops before the next document once another charge wouldn't fit (free slide decks don't use up the limit), and the status message tells you how many documents weren't started.

### Limitations

- Needs a text-based PDF. Scanned image PDFs aren't supported yet.
- Only the first 80 pages of a PDF are read.
- Tuned for S-REIT and Singapore business-trust reporting language. Other markets may work partially.
- When a document reports the same metric for several periods, the extractor aims for the document's own period, but check the quote.
- The number is a starting point, not investment advice. Check anything you act on against the quoted page.

Not affiliated with SGX, MAS or any REIT manager.

# Actor input Schema

## `documents` (type: `array`):

Public http(s) URLs of S-REIT results PDFs, either plain URLs or objects {"url": "...", "reitName": "..."}. Best results: the results press release / news release or the financial statements. Presentation slides and business updates work too and are free for now (not charged), but their metrics are capped at medium confidence. Tip: chain this Actor after an SGX announcements Actor and pass the PDF links it returns.

## Actor input object example

```json
{
  "documents": [
    {
      "url": "https://links.sgx.com/1.0.0/corporate-announcements/4B47S3A4F6XK3S9U/897539_ESR-REIT%20-%201H2026%20Results%20News%20Release.pdf",
      "reitName": "ESR-REIT"
    }
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

DPU, aggregate leverage, interest coverage, occupancy, WALE, cost of debt, fixed-rate debt % and NAV per unit for each document, shown in the Overview table view.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "documents": [
        {
            "url": "https://links.sgx.com/1.0.0/corporate-announcements/4B47S3A4F6XK3S9U/897539_ESR-REIT%20-%201H2026%20Results%20News%20Release.pdf",
            "reitName": "ESR-REIT"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ljwlcf/sreit-metrics-extractor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "documents": [{
            "url": "https://links.sgx.com/1.0.0/corporate-announcements/4B47S3A4F6XK3S9U/897539_ESR-REIT%20-%201H2026%20Results%20News%20Release.pdf",
            "reitName": "ESR-REIT",
        }] }

# Run the Actor and wait for it to finish
run = client.actor("ljwlcf/sreit-metrics-extractor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "documents": [
    {
      "url": "https://links.sgx.com/1.0.0/corporate-announcements/4B47S3A4F6XK3S9U/897539_ESR-REIT%20-%201H2026%20Results%20News%20Release.pdf",
      "reitName": "ESR-REIT"
    }
  ]
}' |
apify call ljwlcf/sreit-metrics-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ljwlcf/sreit-metrics-extractor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/NK46qBUa1AcateQQ5/builds/cxB2AB3um6e1aNdxe/openapi.json