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AI Context Scraper

Under maintenance

Try for free

AI Context Scraper is a production-grade Apify Actor that gathers high-quality coding context from the Web, GitHub, and StackOverflow for AI agents and RAG systems. It uses NVIDIA Nemotron 3 Super to synthesize documents, code snippets, and patterns into actionable implementation guidance.

Pricing

from $200.00 / 1,000 results

Rating

0.0

(0)

Developer

Varun Chopra

Actor stats

Bookmarked

Total users

Monthly active users

a month ago

Last modified

Categories

Agents

Developer tools

Automation

Coding task description

task

Required

Describe the coding problem or implementation goal for which context should be gathered.

Type:string

Maximum sources

max_sources

Optional

Maximum number of sources to discover and process.

Type:integer

Default:10

Allowed domains

allowed_domains

Optional

Optional allowlist of domains to restrict search and crawling.

Type:string[]

Include GitHub

include_github

Optional

Include GitHub repository mining in the context pipeline.

Type:boolean

Default:true

Include GitHub code search

include_github_code_search

Optional

Enable GitHub code search to retrieve implementation snippets.

Type:boolean

Default:true

GitHub token (optional)

github_token

Optional

Optional GitHub token for authenticated GitHub API requests and richer code search. If omitted, actor falls back to unauthenticated mining.

Type:string

Languages for GitHub code search

github_code_languages

Optional

Target languages for GitHub code search (e.g., ['python', 'typescript']). If empty, uses detected language from task.

Type:string[]

Default:

[]

Include StackOverflow Q&A

include_stackoverflow

Optional

Mine high-quality answers from StackOverflow for developer context

Type:boolean

Default:true

Enable caching

enable_cache

Optional

Cache scraped pages and task results for faster repeated runs

Type:boolean

Default:true

LLM chunk token size

chunk_size

Optional

Maximum tokens per chunk for LLM-optimized content splitting

Type:integer

Minimum:100

Maximum:2000

Default:500

Maximum code snippets

max_code_snippets

Optional

Maximum number of code snippets to include in the output.

Type:integer

Default:10

Enable LLM RAG synthesis

enable_llm_synthesis

Optional

Enable LLM-powered synthesis of gathered context into actionable coding guidance using OpenRouter.

Type:boolean

Default:true

OpenRouter API key

openrouter_api_key

Optional

API key for OpenRouter LLM synthesis. Can also be set via OPENROUTER_API_KEY environment variable.

Type:string

OpenRouter model

openrouter_model

Optional

Model ID to use for LLM synthesis via OpenRouter.

Type:string

Default:nvidia/nemotron-3-super-120b-a12b:free

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