Ultra efficient web scraper developped on demand

Navigation

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for grll from gravatar.com grll

Unverified details

These details have not been verified by PyPI
Meta
Classifiers
Report project as malware

Project description

HTTP-USE

HTTP-USE

Ultra efficient web scrapers AI developed on demand.

How it Works

HTTP-USE is an intelligent web scraping system that creates lightweight, deterministic HTTP-based scrapers on demand. The workflow consists of three main stages:

  1. User Request & Clarification: Users specify what data they want to extract (e.g., articles about machine learning from HackerNews). The system clarifies requirements including:

    • Frequency of scraping needed
    • Target website URL
    • Early result validation criteria

  2. Web Agent & Browser Interaction: A web agent powered by Playwright MCP navigates the target website, captures screenshots, and generates test cases. This stage produces:

    • Navigation traces
    • Element confirmations
    • Validated test scenarios

  3. Code Generation: A coding agent uses the traces and confirmed test cases to generate a lightweight, deterministic, and tested HTTP-based scraping script tailored to the specific requirements.

The system ensures efficient scraping by converting browser-based interactions into optimized HTTP requests, resulting in faster and more reliable data extraction.

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for grll from gravatar.com grll

Unverified details

These details have not been verified by PyPI
Meta
Classifiers

Release history Release notifications | RSS feed

This version

0.1.3

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

http_use-0.1.3.tar.gz (25.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

http_use-0.1.3-py3-none-any.whl (2.0 kB view details)

Uploaded Python 3

File details

Details for the file http_use-0.1.3.tar.gz.

File metadata

  • Download URL: http_use-0.1.3.tar.gz
  • Upload date:
  • Size: 25.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for http_use-0.1.3.tar.gz
Algorithm Hash digest
SHA256 39c2e90c9f70a95a6fe743f9667c0265e9a7821a3aea49ef0904b713637cf911
MD5 713c0475602cabbbe58c7240d9274c19
BLAKE2b-256 8b7a1ee02909fbba35cd30a19787378c0460a59db1f37e3abe5acb64d3a1bed0

See more details on using hashes here.

Provenance

The following attestation bundles were made for http_use-0.1.3.tar.gz:

Publisher: release.yml on grll/http-use

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file http_use-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: http_use-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 2.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for http_use-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 ed3fe67912ba1c5c275cc9cabb0fb6ad38215b176d10bccb68cd7eacc61dbc30
MD5 77575ebde48aa404fd9a14944e4d41e6
BLAKE2b-256 d7a5fd94e6518787cf58891dfdb299f9252dc0d5a429d17d491df90b9e495405

See more details on using hashes here.

Provenance

The following attestation bundles were made for http_use-0.1.3-py3-none-any.whl:

Publisher: release.yml on grll/http-use

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page