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A marketplace of simple to use no-code APIs

OpenGrok
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The context layer for your entire codebase

Which is more popular?
Based on our record, Sourcegraph should be more popular than Phantombuster. It has been mentioned 37 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | phantombuster.com | sourcegraph.com |
| Pricing | — | |
| Company | — | 2013 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Phantombuster yet.
Empower agents and developers to make faster decisions, improve AI-generated code, and execute code changes at scale.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
📈 Lead Generation 2020 📈 | How To Scrape Emails In Minutes | PhantomBuster Webcrawler Review
More videos
https://www.youtube.com/watch?v=tkaVq2c7-2w
More videos
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Phantombuster and Sourcegraph.
Sourcegraph's answer:
Quinn Slack and Beyang Liu founded Sourcegraph in 2013. They met at Stanford and later worked together at Palantir, where they saw how hard it was for developers to understand large enterprise codebases. Engineers at Google had strong internal code search, and almost nobody else did. Sourcegraph set out to give every company that ability. It started as universal code search, grew into code intelligence and large-scale automated changes, and now provides the context layer for AI agents. The pitch has stayed the same throughout: AI makes it faster to write code, which makes knowing what’s in your codebase more important, and Sourcegraph is the source of truth for that code.
Sourcegraph's answer:
Sourcegraph's answer:
Most alternatives are tied to one code host or are coding assistants that only see the repo in front of them. Sourcegraph sits beneath those tools rather than replacing them. It makes Claude Code, Cursor, Copilot, and Codex more accurate by giving them context from the whole codebase.
Sourcegraph's answer:
Large engineering organizations with big, sprawling codebases spread across many repos and code hosts, often in regulated industries like financial services. The buyers are the VP of Engineering (productivity and AI ROI), the Head of Platform/DevEx (developer tooling, migrations, agent infrastructure), and the CISO (finding vulnerabilities and fixing them across the codebase). Day-to-day users are developers, platform teams, and increasingly AI agents.
Sourcegraph's answer:
The MCP Server gives the same context to whatever AI agents a team already uses, and Agentic Batch Changes turns a plain-language request into pull requests across hundreds of repos.
Share your experience with using Phantombuster and Sourcegraph. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


A LinkedIn automation tool performs outreach actions such as connection requests and messages, while a scraper extracts data from LinkedIn profiles and searches into a list. PhantomBuster and Evaboot both extract...
PhantomBuster is more of an automation and data extraction toolkit than a traditional LinkedIn outreach platform. Instead of focusing on structured drip campaigns, it allows you to scrape data and automate actions...
We have no reviews of Sourcegraph yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Some teams use Phantombuster to automate LinkedIn outreach to unresolved users. I don't recommend this — it violates LinkedIn's ToS and creates legal exposure faster than it creates pipeline. - Source: dev.to / 6 months ago
Make.com is a valid alternative to n8n. Make's pre-built modules for Apollo, Hunter.io, and Phantombuster are more polished out of the box. n8n's self-hosted version is cheaper at scale and supports arbitrary HTTP calls without needing a... - Source: dev.to / 7 months ago
This is the core problem with scraping-adjacent APIs: you often can't audit their collection methods. When Phantombuster runs automations using your LinkedIn session cookie, your account is the one LinkedIn's fraud detection sees. When... - Source: dev.to / 7 months ago
The setup is one prompt long. You tell the agent to install Sourcegraph for semantic code search or xerj.org for patch and impact analysis. From that point it runs unattended:. - Source: dev.to / 3 months ago
Sourcegraph | Remote | Full-Time | SWE, Tech Lead, Agent Engineer, Product Manager, Product Marketing Manager | https://sourcegraph.com Sourcegraph is building the context layer for AI-powered software development. As AI accelerates code... - Source: Hacker News / 3 months ago
Sourcegraph | San Francisco | Full-Time | SWE, Design Engineer, Forward Deployed Eng, Head of Design, Solutions Eng, Dev Advocate (all roles write code) | https://sourcegraph.com Sourcegraph is hiring SWEs and FDEs for Amp... - Source: Hacker News / over 1 year ago
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