Firecrawl Build Interact Agent Skill

Integrate Firecrawl `/interact` into product code for dynamic pages and browser actions after scraping. Use when a feature needs clicks, form fills, pagination, authentication-aware flows, or other multi-step interactions that plain `/scrape` cannot complete.

731 tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/firecrawl/skills --skill firecrawl-build-interact

The instruction itself

8 sections, as written by the author

Firecrawl Build Interact

Use this when /scrape is not enough because the feature needs to act on the page.

Use This When

content appears only after clicks, typing, or navigation
the feature needs forms, pagination, filters, or multi-step flows
the product must stay in the same browser context after scraping

Default Recommendations

Start with /scrape, then escalate to /interact.
Keep /interact scoped to the smallest browser workflow that unlocks the data.
Use persistent profiles only when the feature truly needs authenticated state across sessions.

Common Product Patterns

search forms and faceted filters
paginated result sets
login-gated dashboards or tools
flows where the page must be explored before extraction is complete

Implementation Notes

/interact is the right tool when the page must be manipulated, not just read.
Keep prompts or action code specific to the product flow.
If the use case is fully open-ended browser automation, evaluate whether a browser sandbox is a better product fit.

Escalation Rules

If the page can be read directly, stay on firecrawl-build-scrape.

Docs (Source of Truth)

Read the source-of-truth page for your project language before writing integration code:

Node / TypeScript: docs.firecrawl.dev/agent-source-of-truth/node
Python: docs.firecrawl.dev/agent-source-of-truth/python
Rust: docs.firecrawl.dev/agent-source-of-truth/rust
Java: docs.firecrawl.dev/agent-source-of-truth/java
Elixir: docs.firecrawl.dev/agent-source-of-truth/elixir
cURL / REST: docs.firecrawl.dev/agent-source-of-truth/curl

Other skills for the same job

different authors, same section of the catalogue

Apify Automation

by christophacham

×2

Automate web scraping and data extraction with Apify -- run Actors, manage datasets, create reusable tasks, and retrieve crawl results through the Composio Apify integration.

Scrapes content based on a preset URL list, filters high-quality technical information, and generates daily Markdown reports.

Web search, content extraction, crawling, and research capabilities using Tavily API

Deep web scraping, screenshots, PDF parsing, and website crawling using Firecrawl API. Use when you need deep content extraction from web pages, page interaction is required (clicking, scrolling, etc.), or you want screenshots or PDF parsing.

Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.

Scrapes content based on a preset URL list, filters high-quality technical information, and generates daily Markdown reports.

Scrape, crawl, search, and extract structured data from websites using Firecrawl API - converts web pages to LLM-ready markdown

6k tokens scripts

Firecrawl Scraper