# WebScraping.AI

> Use this tool when you need to automate interactions with Instagram, such as retrieving user profiles, searching accounts, and engaging with posts, with features like 2FA support and robust error handling. It solves problems like manual data collection and social media management by providing a comprehensive automation interface. The tool takes environment variables and API requests as inputs and outputs Instagram data and automation results.

Canonical page: https://skillsregistry.net/skills/webscraping-ai  
JSON: https://api.skillsregistry.net/v1/skills/webscraping-ai

## Description

Integrates with Instagram through the instagram-private-api library to provide comprehensive automation capabilities including authentication with 2FA support, user profile retrieval, account searching, post feed browsing with pagination, and engagement actions like liking posts. Features persistent session management with automatic restoration, environment variable configuration, and robust error handling for rate limits and authentication states.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/webscraping-ai)
- **Repository:** <https://github.com/webscraping-ai/webscraping-ai-mcp-server>

## 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": "webscraping-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/webscraping-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/webscraping-ai/pull`

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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