# DANE Colombia Statistics Scraper (`parseforge/dane-colombia-statistics-scraper`) Actor
Pull Colombian national statistics from DANE landing pages, returning indicator, value, period, category, source, release\_date, and url. Useful for inflation tracking, demographic studies, and macroeconomic dashboards covering Colombian GDP, employment, and household survey indicators.
- **URL**: https://apify.com/parseforge/dane-colombia-statistics-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Automation, Integrations
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $7.50 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## ๐จ๐ด DANE Colombia Statistics Scraper
> ๐ **Export DANE Colombia statistical indicators in seconds. Topic categories, indicator titles, periods, and links straight from the national statistics office.**
> ๐ **Last updated:** 2026-05-29 ยท **๐ 10 fields** per record ยท 12 main topic categories ยท Live DANE portal
The DANE Colombia Statistics Scraper turns the [dane.gov.co](https://www.dane.gov.co/index.php/estadisticas-por-tema) public indicator pages into a structured dataset. It crawls the topic category landing pages and returns one row per indicator with title, period, and source link.
Coverage spans every public DANE topic category: labor market, prices, national accounts, trade, industry, construction, agriculture, demography, poverty, education, health, and security.
| ๐ฏ Target Audience | ๐ก Primary Use Cases |
|---|---|
| ๐ Macro analysts | Track Colombian inflation, unemployment, GDP |
| ๐๏ธ Researchers | Pull indicator metadata for citation |
| ๐ฐ Journalists | Verify DANE numbers for stories |
| ๐ค Data engineers | Mirror DANE catalogue links into a warehouse |
| ๐ Academics | Cite primary source data in papers |
| ๐ผ Investors | Track Colombian macro indicators |
### ๐ What the DANE Colombia Statistics Scraper does
- Fetches the DANE topic category landing page with a real browser fingerprint.
- Parses each indicator listed under the topic.
- Returns title, period (when extractable), category slug, and the link to the full release.
- Surfaces upstream errors as a clean diagnostic record.
> ๐ก **Why it matters:** DANE publishes the official statistics for Colombia. Their pages are CMS-rendered HTML with no public API, so this actor wraps the parsing for you.
### ๐ฌ Full Demo
_๐ง Coming soon._
### โ๏ธ Input
Field
Type
Required
Description
category
enum
No
One of 12 DANE topic categories.
maxItems
integer
No
Free 10, paid up to 1,000,000.
**Example 1 - Labor market indicators:**
```json
{ "category": "mercado-laboral", "maxItems": 25 }
````
**Example 2 - Prices and costs:**
```json
{ "category": "precios-y-costos", "maxItems": 25 }
```
> โ ๏ธ **Good to Know:** DANE's CMS occasionally changes layout. The actor falls back to multiple selectors to stay resilient.
### ๐ Output
| Field | Type | Description |
|---|---|---|
| ๐ `indicator` | string | Indicator title. |
| ๐ข `value` | string | Reported value when present on the landing page. |
| ๐ `period` | string | Reference period (extracted heuristically). |
| ๐๏ธ `category` | string | Topic category slug. |
| ๐ `unit` | string | Unit of measure when stated. |
| ๐๏ธ `source` | string | DANE Colombia. |
| ๐ `release_date` | string | Release date when present. |
| ๐ `url` | string | Link to the full release. |
| ๐ `scrapedAt` | string | When this row was fetched. |
| โ `error` | string | Set if upstream response was an error. |
**Sample record:**
```json
{
"indicator": "Gran Encuesta Integrada de Hogares (GEIH)",
"value": null,
"period": "abril 2025",
"category": "mercado-laboral",
"unit": null,
"source": "DANE Colombia",
"release_date": null,
"url": "https://www.dane.gov.co/index.php/estadisticas-por-tema/mercado-laboral/empleo-y-desempleo",
"scrapedAt": "2026-05-29T13:00:00.000Z",
"error": null
}
```
### โจ Why choose this Actor
| ๐ | Works with no API key. |
| ๐จ๐ด | Covers all 12 main DANE topic categories. |
| ๐ก๏ธ | Real browser headers via got-scraping. |
| ๐ | Surfaces upstream errors as a clean diagnostic row. |
| ๐พ | Push to dataset and export CSV, Excel, JSON, or XML. |
### ๐ How it compares to alternatives
| Approach | Setup time | Coverage | Maintained |
|---|---|---|---|
| Manual DANE navigation | minutes per topic | full | manual |
| DANE bulk file dumps | hours | partial | quarterly |
| **This Actor** | 5 sec, no install | full | live |
### ๐ How to use
1. Click **Try for free**.
2. Pick a topic category.
3. Click **Start**.
### ๐ผ Business use cases
**๐ Macro dashboards.** Feed Colombian indicators into a country risk dashboard.
**๐ฐ Newsroom verification.** Confirm employment, inflation, and growth figures.
**๐ค Quant pipelines.** Ingest Colombian macro series alongside global indicators.
**๐ผ Investor reports.** Build sector-specific charts using authoritative DANE data.
### ๐ Automating DANE Colombia Statistics Scraper
- **Make / Zapier**: trigger and push to Airtable.
- **Cron schedule**: monthly refreshes aligned with DANE release calendars.
- **Webhooks**: POST to your endpoint after each run.
- **Pipe to BigQuery / Snowflake / Postgres**: native integrations.
### ๐ Beyond business use cases
**๐ Education.** Teach Latin American macro with real Colombian data.
**๐งช Personal research.** Track inflation against your household budget.
**๐ค Non-profit.** Build civic dashboards with DANE figures.
**๐งฐ Prototyping.** Mock up a data product with real numbers.
### ๐ค Ask an AI assistant about this scraper
Paste this README into ChatGPT or Claude.
### โ Frequently Asked Questions
**โ Do I need an API key?** No.
**โ Which categories are covered?** All 12 main DANE topic categories.
**โ Is the data official?** Yes, DANE is Colombia's national statistical authority.
**โ Are values always populated?** Not always; DANE varies the landing page format.
**โ Can I schedule runs?** Yes via the Apify scheduler.
**โ Is this scraping or API?** HTML scraping of public DANE pages.
**โ What format can I download?** CSV, Excel, JSON, JSONL, XML, RSS, or HTML.
**โ What if a page is empty?** A diagnostic record with `error` is pushed.
**โ Does it respect robots.txt?** Only public pages are fetched.
**โ Will the schema change?** Stable.
### ๐ Integrate with any app
Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook.
### ๐ Recommended Actors
| Actor | What it does |
|---|---|
| [ParseForge TurkStat Scraper](https://apify.com/parseforge/turkstat-turkey-statistics-scraper) | Turkey official statistics. |
| [ParseForge INEGI Mexico Indicators Scraper](https://apify.com/parseforge/inegi-mexico-indicators-scraper) | Mexico statistics. |
| [ParseForge collection](https://apify.com/parseforge) | 900+ production scrapers. |
> ๐ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records.
***
**Disclaimer:** This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site's terms of service and applicable law. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp).
# Actor input Schema
## `category` (type: `string`):
DANE topic category slug.
## `maxItems` (type: `integer`):
Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000
## Actor input object example
```json
{
"category": "mercado-laboral",
"maxItems": 10
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"category": "mercado-laboral",
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/dane-colombia-statistics-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// ๐ Want to learn more ๐? Go to โ 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"category": "mercado-laboral",
"maxItems": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("parseforge/dane-colombia-statistics-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"category": "mercado-laboral",
"maxItems": 10
}' |
apify call parseforge/dane-colombia-statistics-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=parseforge/dane-colombia-statistics-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "DANE Colombia Statistics Scraper",
"description": "Pull Colombian national statistics from DANE landing pages, returning indicator, value, period, category, source, release_date, and url. Useful for inflation tracking, demographic studies, and macroeconomic dashboards covering Colombian GDP, employment, and household survey indicators.",
"version": "0.1",
"x-build-id": "3Fjew75yf3qg1ePop"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/parseforge~dane-colombia-statistics-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-parseforge-dane-colombia-statistics-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/parseforge~dane-colombia-statistics-scraper/runs": {
"post": {
"operationId": "runs-sync-parseforge-dane-colombia-statistics-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/parseforge~dane-colombia-statistics-scraper/run-sync": {
"post": {
"operationId": "run-sync-parseforge-dane-colombia-statistics-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"category": {
"title": "Topic category",
"enum": [
"mercado-laboral",
"precios-y-costos",
"cuentas-nacionales",
"comercio-internacional",
"industria",
"construccion",
"agropecuario",
"demografia-y-poblacion",
"pobreza-y-condiciones-de-vida",
"educacion",
"salud",
"seguridad-y-defensa"
],
"type": "string",
"description": "DANE topic category slug.",
"default": "mercado-laboral"
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000"
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```