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GPT Researcher
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GPT Researcher

Active·★ 27.7k·Apache-2.0·Updated 2026-05-28
★ Most Popular★ Trending★ Essential

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.

GPT Researcher is currently grouped under Vision / Multimodal, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Parallel research agents scraping and synthesizing multiple web sources simultaneously and Automating deep research reports on any topic with sourced citations. The listed license is Apache-2.0, which is useful when adoption constraints matter. It also shows measurable community traction with 27.7k GitHub stars.

#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

Why choose it

+Parallel research agents scraping and synthesizing multiple web sources simultaneously
+Automating deep research reports on any topic with sourced citations
+Ships with a public repository and a Apache-2.0 license, which makes adoption and review easier.
+The latest recorded update is 2026-05-28, which suggests the project is still actively maintained.
03

Trade-offs

!Compatibility coverage looks narrow, so it is worth validating your target runtime before committing to it.
!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04

Compatibility

Python 3.11+
Python 3.11+
Verified via docs
Docker
Docker
Verified via docs
05

Quick start

1
$ pip install gpt-researcher
06

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
07

How it compares

≈GPT Researcher sits in the Vision / Multimodal category, so it makes more sense to evaluate it alongside tools like ragflow instead of in isolation.
≈If your main need is closer to "Automating deep research reports on any topic with sourced citations", that use case is a better lens for comparison than broad feature checklists alone.
≈GPT Researcher uses a Apache-2.0 license, and community traction are both easier to judge in category context.
08

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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

Log in to leave a comment
  • 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
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 27.7k
Last commit2w ago
StatusActive
LicenseApache-2.0
CategoryVision / Multimodal
Trend (30d)
+1.1k↑ 4.8%
Links
Documentation↗Discussion↗Issues↗Releases↗

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