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GPT Researcher
GPT Researcher logo

GPT Researcher

Active·★ 27.4k·Apache-2.0·Updated 2026-05-28
★ Most Popular★ Trending★ Essential

An LLM agent that conducts deep research (local and web) on any given topic and generates a long report with citations.

GPT Researcher is an open-source LLM agent designed for deep, structured research on any topic using web and local sources. It produces detailed reports with citations by running parallel research agents, scraping relevant sources, filtering content, and synthesizing findings. Supports local document research, customizable report formats, and multiple LLM backends including OpenAI, Anthropic, and Ollama.

#AI Agent#Deep Research#Web Scraping#Python#RAG#Web Browsing#Coding#Image Generation
$ Install
$ pip install gpt-researcher
↗ Visit site★ GitHub
01

Features

01Parallel research agents scraping and synthesizing multiple web sources simultaneously
02Generates structured reports with citations in Markdown, PDF, or Word format
03Supports local document research in addition to web search
04Customizable report types: research reports, outlines, resource lists, and more
05Compatible with OpenAI, Anthropic, Groq, Ollama, and other LLM providers
02

Compatibility

Python 3.11+
Python 3.11+
Verified via docs
Docker
Docker
Verified via docs
03

Quick start

1
$ pip install gpt-researcher
04

Use cases

↳Automating deep research reports on any topic with sourced citations
↳Conducting market research, competitive analysis, or literature reviews at scale
↳Building research pipelines that combine web search with local knowledge base retrieval
05

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Related searches

GPT Researcher AlternativesBest Vision / Multimodal Tools 2026Open Source Vision / MultimodalGPT Researcher TutorialGPT Researcher Vs CompetitorsAI AgentDeep ResearchWeb Scraping

Comments

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  • Finley Chen
    Finley ChenMay 5, 2026

    Produces research reports with citations, not just a summary of search results.

  • M
    Morgan NguyenApr 13, 2026

    Local document search plus web search in one workflow is the right combination.

  • A
    Aspen ZhangApr 11, 2026

    Deep research automation that synthesizes web and local sources — actually useful.

  • R
    Rowan WhiteMar 13, 2026

    Good for research workflows where you need comprehensive coverage quickly.

  • P
    Parker DavisMar 8, 2026

    Used this for competitive analysis reports — output quality is consistently good.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 27.4k
Last commit2d ago
StatusActive
LicenseApache-2.0
CategoryVision / Multimodal
Trend (30d)
+1k↑ 4.8%
Links
Documentation↗Discussion↗Issues↗Releases↗

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