# Spotify Scraper

> Spotify Scraper — aliakhtari78-spotify-scraper. Use this tool when you need to access public Spotify data, such as track metadata or podcast episodes, without requiring an API key. It provides read-only access to various Spotify data, solving use cases like music information retrieval or podcast analysis. The tool accepts optional sp_dc cookie input for authenticated access to personalized playlists and account data, outputting relevant data for further processing.

Canonical page: https://skillsregistry.net/skills/aliakhtari78-spotify-scraper  
JSON: https://api.skillsregistry.net/v1/skills/aliakhtari78-spotify-scraper

## Description

Spotify Scraper provides read-only access to public Spotify data — track metadata, lyrics, podcast episodes, and more — for LLM agents. No Spotify API key is required for public data. An optional sp_dc cookie from a logged-in Spotify session unlocks authenticated tools including personalized playlists and account data. Installed via PyPI.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aliakhtari78-spotify-scraper)
- **Repository:** <https://github.com/aliakhtari78/spotifyscraper>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aliakhtari78-spotify-scraper"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aliakhtari78-spotify-scraper` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aliakhtari78-spotify-scraper/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt