chatWeb
ChatWeb can crawl web pages and various document types for content extraction and summarization.
GraphCanon updated 1mo · GitHub synced 1mo
Decision brief
ChatWeb is a Python-based content crawler and summarization chatbot designed for extracting main contents from web pages, PDFs, DOCX, and TXT files. It leverages OpenAI's GPT technology to summarize key points or answer질
Good fit when
- You need to rapidly extract actionable insights or summaries from multiple sources of data including websites and documents.
- Your goal is to integrate a conversational interface with content retrieval capabilities leveraging AI for natural language processing tasks.
Avoid when
- If your use case exclusively involves handling multimedia files like videos or images since ChatWeb is specifically designed for text-based content from web pages and documents.
- Consider other tools if you are working in an environment where OpenAI services are not accessible or if APIs requiring personal API keys are a concern as this tool relies on the OpenAI API for its N-
Observed Jul 11, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Steady (57d since push)
- As of 1mo
- Provenance
- Not a fork · Personal account
- As of 1mo
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install chatWeb PyPIHow it fits your stack(13)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
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Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A tool that crawls the web and processes documents to extract main content and summarize key points in response to queries.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 22, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 22, 2026
- Languages
- python
Source: github.language · Jul 22, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 22, 2026)
- Edit `config.json` and set `open_ai_key` to your OpenAI API keySource link
Tags
README
Manual installation:
- Install Python3
- Download this repository by running
git clone https://github.com/SkywalkerDarren/chatWeb.git - Navigate to the directory by running
cd chatWeb - Copy
config.example.jsontoconfig.json - Edit
config.jsonand setopen_ai_keyto your OpenAI API key - Install dependencies by running
pip3 install -r requirements.txt - Start the application by running
python3 main.py
Docker:
if you prefer, you can also run this project using docker:
- build the container using
docker-compose build(only needed once when you are not planning to contibute to this repo) - copy
config.example.jsontoconfig.jsonand set all the needed stuff. The example config is already fine for running with docker, no need to change anything there, if you don't have the OPEN_AI_KEY in your env variables you can set it here too, or later if you run this app. - run the container: `docker-compose up"
- open the application in browser:
http://localhost:7860
Install PostgreSQL (Optional)
- Edit
config.jsonand setuse_postgrestotrue. - Install PostgreSQL.
- The default SQL address is
postgresql://localhost:5432/mydb, or you can set it inconfig.json.
- The default SQL address is
- Install the pgvector plugin.
Compile and install the extension (support Postgres 11+).
git clone --branch v0.4.0 https://github.com/pgvector/pgvector.git
cd pgvector
make
make install # may need sudo
Then load it in the database you want to use it in
CREATE EXTENSION vector;
- Install dependency with pip:
pip3 install psycopg2
For agents
This page has a .md twin and JSON over the API.