Developer-first Apify APIs + MCP

Useful data tools.
One click from a real run.

Track Amazon prices, research Google Autocomplete, convert websites to Markdown, extract YouTube transcripts, search Reddit, parse public job postings, and structure restaurant menus — through Apify, API, schedules, or MCP.

Pay per event on public ActorsJSON / CSV via Apify datasetsMCP-ready for AI clients
Run now

Pick the job, not the platform.

Every primary button goes through a privacy-minimal Signal Lab redirect and then straight to the live Actor. Current pricing stays on Apify as the source of truth.

Ecommerce

Amazon Price Tracker API

Track ASIN/product prices, availability, ratings and changes across scheduled runs.

SEO / demand

Google Autocomplete API

Collect live keyword suggestions and buyer-intent phrases with country and language targeting.

RAG / LLM

Website to Markdown API

Convert public pages or bounded sites into clean Markdown with links and structured metadata.

Research

Reddit Scraper API

Search public Reddit posts and optionally collect nested comments for research workflows.

Jobs

Schema.org JobPosting Extractor

Extract structured fields from public job pages that expose JobPosting JSON-LD.

Food data

Restaurant Menu Extractor

Extract menu items, sections, descriptions and prices from JSON-LD or configured selectors.

AI agents

One MCP endpoint.
Seven focused tools.

Signal Lab is published in the Official Model Context Protocol Registry as io.github.VZezelin/signal-lab-apify-tools and indexed as an installable Agent Skill in askill. Apify provides the hosted Streamable HTTP endpoint and authentication flow.

Official MCP Registry →Install Agent Skill →
{ "mcpServers": { "signal-lab": { "url": "https://mcp.apify.com?tools=signal_lab/amazon-price-tracker,signal_lab/google-autocomplete-keywords,signal_lab/website-to-markdown-crawler,signal_lab/youtube-transcript-scraper,signal_lab/reddit-search-comments,signal_lab/job-vacancy-scraper,signal_lab/restaurant-menu-extractor" } } }
Fast path

From need to result.

No separate Signal Lab subscription. Execution and billing happen through each live Apify Actor.

01

Open an Actor

Choose the exact task and inspect its live input and pricing.

02

Run or connect

Use Console, API, schedule, webhook, Make/n8n, MCP, or install the Agent Skill.

03

Use the dataset

Export results or consume the default dataset programmatically.

Start with a live tool

Run the task you came here to solve.

Choose a Signal Lab Actor on Apify and use its live Pricing tab as the source of truth for current cost.