Web Scraping Python
CheckedHelps with web development, web scraping, Python as part of developing backend services and APIs workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add zlstas/skills --skill web-scraping-python -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
zlstas
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned zlstas/skills at 3b87ad338f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3b87ad338f
- Scanned
- 10 files, 1,267 lines
About this skill
What it does
This skill allows an AI agent to extract data from websites using Python. It can parse HTML and XML content, identify specific elements based on their tags or attributes, and return the extracted information in a structured format like CSV or JSON. This enables automated collection of publicly available data for analysis or other purposes.
When to use it
- Gathering product pricing information from e-commerce sites to track price changes over time.
- Collecting news articles related to a specific topic and summarizing them.
- Extracting contact details (names, email addresses) from company websites.
- Building datasets of real estate listings by scraping property data from online portals.
Key capabilities
- HTML parsing
- XML parsing
- Data extraction based on tags and attributes
- Structured output (CSV/JSON)
Example prompts
- "Scrape the titles and prices of all products listed on example.com/products."
- "Extract all email addresses from companywebsite.org."
- "Get a CSV file containing the names and descriptions of all restaurants in New York City from yelp.com."
Tips & gotchas
This skill requires a basic understanding of HTML structure. Be mindful of website terms of service and robots.txt to avoid overloading servers or violating usage policies.