A local Python execution pipeline that enables your AI agent to search stock slugs, parse financial feeds, and extract premium analysis from ZoneBourse.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install zonebourse
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install zonebourse using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The ZoneBourse integration is a specialized local developer utility built to expand the capabilities of Openclaw Skills, giving AI agents and coding assistants automated access to real-time financial market intelligence. By executing local Python scripts powered by curl, this skill parses equity market updates, ticker analyses, and broker recommendations directly from ZoneBourse.com.
This framework maintains a robust approach to content scraping, implementing Chrome User-Agent configurations to bypass strict Cloudflare checks and utilizing local cookie persistence to access paywalled content. It serves as a reliable local connector for quantitative research, sentiment tracking, and investment pipeline automation.
Ensure you have Python installed locally and your openclaw environment configured.
# 1. Access your local workspace skill path
cd ~/.openclaw/workspace/skills/zonebourse
# 2. Extract a slug for a desired public company
python3 scripts/search_slug.py PUBLICIS
# 3. Retrieve relevant financial articles for the slug
python3 scripts/parse_actus.py PUBLICIS-GROUPE-S-A-4685
# 4. Fetch details of a specific parsed article URL
python3 scripts/read_article.py <article_url>
To bypass paywalls on premium analysis, inject your active subscriber session:
~/.openclaw/workspace/skills/zonebourse/scripts/cookies.txt.zb_auth, PHPSESSID, zb_abonne, zb_membre, pv_r0, pv_r0_date, pv_r0_rand, hmv) and remove heavy keys like g_state.The skill maintains its operational assets locally within structured scripts and lookup files. Below is the configuration structure:
| File Path | Description |
|---|---|
scripts/search_slug.py |
Command-line utility converting company names to queryable slugs |
scripts/parse_actus.py |
Extracts article URLs sorted into standard news, analyses, and recommendations |
scripts/read_article.py |
Parses HTML data of individual articles into semantic text blocks |
scripts/cookies.txt |
Stores Netscape-formatted subscriber session keys |
Articles queried through read_article.py resolve into the following structured outputs:
date: Publication timestamp format (YYYY-MM-DD) gathered from article metadata.titre: Complete textual headline of the target publication.contenu: Clean parsed text of the article body (or abstract lead if unauthorized).paywall: Boolean status flag (true if content is locked, false if freely open).The skill keeps an integrated mapping for rapid querying of prominent tickers:
TTE -> TOTALENERGIES-SE-4717RMS -> HERMES-INTERNATIONAL-4657EL -> ESSILORLUXOTTICA-4641WLN -> WORLDLINE-16783982AI -> AIR-LIQUIDE-4605NVDA -> NVIDIA-CORPORATION-57355629MSFT -> MICROSOFT-CORPORATION-4835PUB -> PUBLICIS-GROUPE-S-A-4685zb_auth) expiration detection (7 days cycle) for seamless premium article indexing.actualites, analyses, and recommandations to match specific investment analytical goals.Loading
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