If you're searching for open-source AI agents, you’re probably not looking for yet another GPT wrapper with a chat UI. You want something that does real work - scrapes data, generates output, saves time - and something you can fork, self-host, or plug into a bigger workflow.
Here are five agents on the Apify platform that fit that profile. They solve clearly defined problems: link prospecting, product content generation, job search filtering, and more. All are published on Apify Store with usable source code:
| Agent | Primary function | Best for |
|---|---|---|
| Backlink Building Agent | Finds backlink prospects and extracts contact info | SEO freelancers and small SaaS marketers who waste hours on manual link prospecting. |
| Market Mind AI | Tracks sentiment and trends from Reddit, Twitter, News | Retail investors and finance content creators who need early trend signals without noise. |
| AI Product Recommendation Agent | Generates product recommendations from scraped data | Shopify owners and dropshippers who skip or outsource repetitive product copywriting. |
| AI Company Researcher Agent | Scrapes and summarizes public company data | SDRs, VC analysts, and B2B marketers who spend hours researching prospects manually. |
| AI Job Search Agent | Automates job search with filtering and ranking | Job seekers and freelancers frustrated by repetitive, multi-platform job board searches. |
Want to create your own AI agent but don't know how? This detailed step-by-step guide shows you how to build agents with CrewAI, and publish and monetize them on the Apify platform.
1. Backlink Building Agent
This agent automates the dullest part of SEO: link prospecting. You define keywords, it scrapes Google results, extracts domains, and pulls available contact info (like emails or forms).
Useful for:
- Freelance SEOs
- Small SaaS marketers
- Content teams doing cold outreach
Why it's helpful:
Manual backlink prospecting is a time suck. If your current workflow is: Google → click → scrape → copy → paste → repeat… this agent does that legwork in bulk.
Limitations:
No link scoring, no outreach features, and it depends heavily on clean search input.
2. Market Mind AI
Tracks sentiment and news trends across Reddit, Twitter, and Google News for specific tickers or asset names. Helps with early signals, trend spotting, and filtering noise.
Useful for:
- Retail traders
- Content creators in finance
- Analysts tracking specific sectors or stocks
Why it's helpful:
If you’re trying to stay ahead of market sentiment, this is a faster way to scan high-noise sources. Paid platforms like AlphaSense or Sentieo offer better depth but at enterprise pricing.
Limitations:
Sentiment detection is basic. Can’t detect sarcasm, bots, or manipulative posts. Better suited for high-volume tickers.
3. AI Product Recommendation Agent
This agent scrapes product data from an e-commerce site and uses that content to auto-generate product recommendations or descriptions.
Useful for:
- Shopify and WooCommerce store owners
- Dropshippers scaling product uploads
- E-commerce marketers refreshing content
Why it's helpful:
Many stores either skip product descriptions or reuse manufacturer copy. This agent generates fresh content, which is handy for UX and SEO.
Limitations:
Quality depends on the source site’s structure and the richness of product data. No direct CMS integration.
4. AI Company Researcher Agent
Scrapes and summarizes publicly available company data - funding, employee count, business model, etc. - and outputs it in a structured format.
Useful for:
- SDRs/BDRs doing outbound
- VC analysts researching startups
- B2B marketers qualifying leads
Why it's helpful:
Looking up 50 companies takes hours. This agent condenses that task and turns web research into structured, usable info.
Limitations:
Still under development. Output quality varies. Often needs human validation before you use it in outreach or lead scoring.
5. AI Job Search Agent
Automates job searches by scraping listings across multiple sites based on your chosen criteria, and optionally ranks them by relevance.
Useful for:
- Freelancers or contractors looking for gigs
- Career coaches managing multiple client profiles
- Job seekers in niche fields
Why it's helpful:
Job boards don’t talk to each other. Aggregators like Indeed miss half the listings. This agent reduces your search workload and helps you focus on higher-match roles.
Limitations:
Still in early development. Doesn’t handle applications or cover letter generation. Duplicates can slip in.
AI agents on Apify Store
You can use any of these 5 open-source AI agents today, or build on them if you're creating your own automation. Want to see what other agents you can use? Check out our AI agent collection, or learn how to build and publish your own AI agents with CrewAI and Apify.
More about AI agents
- What are AI agents? - The Apify platform is turning the potential of AI agents into practical solutions.
- How to build an AI agent - A complete step-by-step guide to creating, publishing, and monetizing AI agents on the Apify platform.
- AI agent orchestration with OpenAI Agents SDK - Learn to build an effective multiagent system with AI agent orchestration.
- AI agent workflow - building an agent to query Apify datasets - Learn how to extract insights from datasets using simple natural language queries without deep SQL knowledge or external data exports.
- How to use MCP with Apify Actors - Learn how to expose over 4,500 Apify Actors to AI agents like Claude and LangGraph, and configure MCP clients and servers.
- 11 AI agent use cases (on Apify) - 10 practical applications for AI agents, plus one meta-use case that hints at the future of agentic systems.
- What is Anthropic's Model Context Protocol (and why does it matter)? - MCP offers a way to simplify AI’s external data connections and address a key industry challenge.
- 10 best AI agent frameworks - 5 paid platforms and 5 open-source options for building AI agents.
- AI agent architecture in 1,000 words - A comprehensive overview of AI agents' core components and architectural types.
- 7 real-world AI agent examples in 2025 you need to know - From goal-based assistants to learning-driven systems, these agents are powering everything from self-driving cars to advanced web automation.
- LLM agents: all you need to know in 2025 - LLM agents are changing how we approach AI by enabling interaction with external sources and reasoning through complex tasks.
- 7 types of AI agents you should know about - What defines an AI agent? We go through the agent spectrum, from simple reflexive systems to adaptive multi-agent networks.
