Portugal2030 Avisos Scraper

Pricing

Pay per usage

Try for free

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Portugal2030 Avisos Scraper

Try for free

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Bilal Machraa

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

a month ago

Last modified

Portugal 2030 Avisos Scraper

Apify actor that scrapes funding opportunities from the Portugal 2030 portal.

Features

✅ Uses official Portugal 2030 API (fast and reliable)
✅ Captures all open funding opportunities
✅ Supports full refresh or incremental updates
✅ Filters by publication date
✅ Returns structured JSON data
✅ Cost-effective (~€0.01 per run)

Input Parameters

fullRefresh: Scrape all avisos (true) or only recent ones (false)
onlyOpen: Filter only open avisos (default: true)
daysBack: Number of days to look back (default: 8)
maxItems: Maximum avisos to scrape (0 = unlimited)
debug: Enable verbose logging

Output Format

{
  "title": "Aviso title",
  "codigo": "NORTE2030-2024-15",
  "description": "Aviso description",
  "url": "https://portugal2030.pt/avisos/...",
  "dataPublicacao": "2024-10-01",
  "dataAbertura": "2024-10-01",
  "dataFecho": "2024-11-30",
  "estado": "Aberto",
  "programa": "Norte 2030",
  "montante": "2000000",
  "taxa": "45%",
  "regiao": "Norte",
  "portal": "Portugal 2030"
}

Usage

Via Apify Console

Go to Actors → Your actor
Set input parameters
Click "Start"

Via API

const ApifyClient = require('apify-client');

const client = new ApifyClient({
  token: 'YOUR_APIFY_TOKEN'
});

const run = await client.actor('YOUR_ACTOR_ID').call({
  fullRefresh: true,
  onlyOpen: true
});

const dataset = await client.dataset(run.defaultDatasetId).listItems();
console.log(dataset.items);

Scheduled Runs

Set up a schedule in Apify Console:

Weekly: Every Monday at 3:00 AM (incremental)
Monthly: First Monday at 2:00 AM (full refresh)

Cost Estimate

Initial full scrape (~400 avisos): ~€0.01
Weekly incremental: ~€0.002/run
Monthly cost: ~€0.01

Technical Details

Uses CheerioCrawler (API-based, no browser needed)
Memory: 512 MB
Timeout: 300 seconds
Success rate: 95%+

Support

For issues or questions, contact: dev@taconsulting.pt

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