data-scraper-agent
OfficialBuild a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
What this skill does
When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.
---
name: data-scraper-agent
description: Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
origin: community
---
# Data Scraper Agent
Build a production-ready, AI-powered data collection agent for any public data source.
Runs on a schedule, enriches results with a free LLM, stores to a database, and improves over time.
**Stack: Python · Gemini Flash (free) · GitHub Actions (free) · Notion / Sheets / Supabase**
## When to Activate
- User wants to scrape or monitor any public website or API
- User says "build a bot that checks...", "monitor X for me", "collect data from..."
- User wants to track jobs, prices, news, repos, sports scores, events, listings
- User asks how to automate data collection without paying for hosting
- User wants an agent that gets smarter over time based on their decisions
## Core Concepts
### The Three Layers
Every data scraper agent has three layers:
```
COLLECT → ENRICH → STORE
│ │ │
Scraper AI (LLM) Database
runs on scores/ Notion /
schedule summarises Sheets /
& classifies Supabase
```
### Free Stack
| Layer | Tool | Why |
|---|---|---|
| **Scraping** | `requests` + `BeautifulSoup` | No cost, covers 80% of public sites |
| **JS-rendered sites** | `playwright` (free) | When HTML scraping fails |
| **AI enrichment** | Gemini Flash via REST API | 500 req/day, 1M tokens/day — free |
| **Storage** | Notion API | Free tier, great UI for review |
| **Schedule** | GitHub Actions cron | Free for public repos |
| **Learning** | JSON feedback file in repo | Zero infra, persists in git |
### AI Model Fallback Chain
Build agents to auto-fallback across Gemini mUse this skill
Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.
{
"model": "gpt-4o-mini",
"skill": "imp-2388bb56-2855-4dcd-b05a-c37fe08867c3",
"messages": [{ "role": "user", "content": "…" }]
}Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.
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