web-scraping-api_skill

This skill helps you extract data from 30+ platforms with structured JSON output for web scraping and data gathering.
  • Python

2.5k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

3 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill web-scraping-api

  • _meta.json287 B
  • SKILL.md2.2 KB

Overview

This skill provides a unified web-scraping API to extract structured data from over 30 platforms. It supports social media, e-commerce, maps, search, and news sources and returns clean JSON without HTML markup. No proxy setup is required, and common targets like LinkedIn, Twitter/X, Instagram, Amazon, Google, YouTube, and Yelp are supported.

How this skill works

Send a simple scrape request describing the target and fields you need (for example: profile, posts, product reviews, or search results). The API handles crawling, rendering, and parsing, then returns normalized JSON objects for downstream processing. Rate limiting, retries, and rendering are managed by the service so you can focus on the data.

When to use it

  • Collect public profiles, posts, followers, or job listings from social networks
  • Extract product details, prices, and reviews from marketplaces like Amazon or Walmart
  • Pull local business listings, reviews, and photos from Google Maps or Yelp
  • Aggregate search results, news, trends, and academic citations from Google endpoints
  • Automate large-scale data collection for monitoring, research, or analytics

Best practices

  • Specify exact fields you need to reduce payload size and speed up results
  • Respect platform terms and only scrape public or authorized data
  • Use pagination parameters to retrieve results in chunks for large datasets
  • Cache results where appropriate to avoid repeated requests for unchanged data
  • Validate returned JSON schemas before ingesting into downstream systems

Example use cases

  • Scrape LinkedIn profiles to build a verified candidate shortlist for recruiting
  • Extract top Amazon product reviews to analyze sentiment trends and product issues
  • Collect local business reviews and ratings from Google Maps and Yelp for reputation monitoring
  • Monitor Twitter/X or TikTok trends and export daily summaries in JSON
  • Pull YouTube video metadata and comments for content research and moderation

FAQ

No, the API manages rendering and network routing so you don't need to configure proxies or headless browsers.

What format is the output?

All responses are delivered as structured JSON optimized for direct ingestion into analytics pipelines or databases.

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