Extract structured JSON from platform URLs using Bright Data pipelines.
npx skills add https://github.com/farzanmrz/beat-radar-agent --skill data-feeds-farzanmrz
Please help me install this Agent Skill. Skill: data-feeds Source: https://github.com/farzanmrz/beat-radar-agent/tree/main/.claude/skills/data-feeds Command: npx skills add https://github.com/farzanmrz/beat-radar-agent --skill data-feeds-farzanmrz
This Skill removes the friction of scraping supported platforms by returning structured, machine-readable data directly from known URLs.
Ask the assistant to extract structured JSON from a supported platform URL using the appropriate Bright Data pipeline and verify the output for parsing and errors.
High-intent search queries and answers about installing and using this skill.
To extract structured JSON from platform URLs, you need to select the correct Bright Data pipeline for the specific platform. This approach returns clean, machine-readable data for supported sites without requiring manual scraping logic.
Yes, you can scrape social media profiles and posts without custom scraping logic by using pre-configured pipelines. The system handles structured extraction from major platforms like Instagram, TikTok, and Facebook, returning clean JSON directly.
The best way to get product reviews and company data is by submitting the specific URLs to a matching data pipeline. This method gathers platform-specific datasets reliably, avoiding the friction of building and maintaining custom scrapers.
To verify structured data extraction and catch silent partial failures, you must parse the output JSON and check the record counts. Applying operational reliability checks ensures that missing data from the pipeline does not go unnoticed.
Yes, Bright Data pipeline selection directly affects the output quality. Choosing the correct pipeline for a given URL shape or task type, such as pulling comments versus company pages, ensures you receive the appropriate structured JSON response.
Platform scraping returns unparseable JSON or timeout errors when the incorrect pipeline is selected or timeout settings are not properly tuned. Verifying outputs for parseability and adjusting timeout parameters resolves these extraction issues.
farzanmrzSelect and implement Bright Data scraping or browser automation APIs for target websites.
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