Quick Verdict: PhantomBuster is a powerful cloud-based automation platform built for LinkedIn lead generation, social media growth hacking, and multi-step outreach sequences. It excels at those jobs. But if your goal is extracting reviews and comments from platforms like Amazon, YouTube, Reddit, or Steam, PhantomBuster is overkill -- expensive, complex, and missing dedicated scrapers for most review platforms. Comment Exporter is purpose-built for review and comment extraction across 11 platforms at $49.99/month flat (or $24.99/month yearly) -- no Phantoms to configure, no execution-time meters, no credit system. Reddit scraping is completely free.
PhantomBuster vs Comment Exporter at a Glance
Before diving into the details, here is a high-level comparison of the two tools. They are fundamentally different products built for different primary use cases, but since many people evaluate PhantomBuster when searching for data extraction tools, this table shows where they overlap and where they diverge.
| Feature | Comment Exporter | PhantomBuster |
|---|
| Primary focus | Review and comment extraction | LinkedIn automation and lead generation |
| Tool type | Chrome extension | Cloud-based automation platform |
| Setup complexity | Install extension, click export | Account setup, Phantom config, sometimes cookies/session tokens |
| Pricing model | Flat rate ($49.99/mo) | Execution-time metered ($69-$439/mo) |
| Free tier | Reddit (unlimited, forever) | 14-day trial, limited execution time |
| Review platforms covered | 11 dedicated parsers | Some social scrapers; no Amazon, Steam, Etsy |
| Data processing | Local (in-browser) | Cloud (PhantomBuster servers) |
| Export formats | CSV, JSON | CSV, JSON, API access |
| Automation chains | No | Yes (chain Phantoms together) |
| LinkedIn support | No | Extensive (dozens of Phantoms) |
| Chrome Web Store rating | 5.0/5 (10,000+ weekly users) | N/A (cloud platform, not primarily a Chrome extension) |
The summary: PhantomBuster is a Swiss army knife for growth teams. Comment Exporter is a precision instrument for review and comment data. The rest of this article breaks down exactly where each tool wins -- and the real-dollar math behind choosing one over the other.
What PhantomBuster Does Well
PhantomBuster has earned its reputation in the growth hacking and sales automation space. To give a fair comparison, it is important to acknowledge what it genuinely excels at before discussing where it falls short for review scraping.
LinkedIn automation and lead generation
This is PhantomBuster's strongest domain. The platform offers dozens of LinkedIn-focused Phantoms: profile scrapers, search result exporters, connection request senders, message sequence automators, Sales Navigator extractors, and company page scrapers. If your primary job is building prospect lists from LinkedIn, PhantomBuster is one of the most established tools in the market. Sales teams that rely on LinkedIn outreach get genuine value from the platform.
Multi-step automation chains
PhantomBuster allows you to chain Phantoms together into workflows. For example, you could scrape a list of LinkedIn profiles from a search result, enrich that data by visiting each profile for details, and then trigger an automated connection request sequence -- all without manual intervention between steps. This workflow chaining is powerful for lead generation pipelines and social media audience building.
100+ pre-built Phantoms
The platform includes over 100 pre-built automation scripts (called "Phantoms") for various social media platforms and web services. These cover Instagram follower extraction, Twitter profile scraping, Google Maps business listing collection, and more. Each Phantom is a self-contained automation that you configure and run in the cloud.
Cloud execution and scheduling
Unlike browser extensions that require your computer to be on, PhantomBuster runs in the cloud. You can schedule Phantoms to execute at specific times, which means automated data collection without your direct involvement. This is a genuine advantage for teams running recurring lead generation workflows.
API access
PhantomBuster provides API endpoints for triggering Phantoms and retrieving results programmatically. Development teams can integrate PhantomBuster into larger data pipelines, CRM systems, or custom applications. This level of integration is valuable for organizations with dedicated engineering resources.
All of these strengths point to a clear pattern: PhantomBuster is built for sales teams, growth hackers, and marketing professionals who need to automate social media interactions and build lead databases. It is a serious tool for that purpose.
Where PhantomBuster Falls Short for Review Scraping
Here is where the comparison becomes relevant. When people search for a PhantomBuster alternative, it is often because they assumed the platform could handle review and comment extraction -- and discovered that it is not designed for that job.
No dedicated review platform scrapers
PhantomBuster's Phantom library is heavily weighted toward social media and lead generation. Critically, it lacks dedicated scrapers for the platforms where reviews and comments live. There is no Amazon review scraper Phantom. No Steam review extractor. No Etsy review parser. No Quora answer exporter. No Hacker News comment scraper. No Product Hunt discussion extractor.
PhantomBuster does offer some social media scrapers for Instagram, Twitter, and Google Maps -- but these are designed for lead generation (extracting follower lists, post engagement data, business listings), not for structured review and comment extraction with platform-specific metadata.
Execution-time metering creates unpredictable costs
PhantomBuster's pricing is based on execution time -- how long your Phantoms run on their cloud servers. This means your costs scale with the complexity and duration of your scraping tasks, not with the value you get from the data. A slow-loading page or a large comment thread takes longer to process and costs more. You cannot predict your monthly bill with certainty because it depends on factors outside your control: server load, page complexity, rate limiting from target sites, and total data volume.
Complex setup for each task
Using PhantomBuster requires creating an account, selecting a Phantom from the library, configuring its parameters (URLs, selectors, session cookies, output fields), running a test, reviewing output, and then scheduling or executing the full run. For LinkedIn lead generation workflows that you run repeatedly over months, this setup investment pays off. For a one-off review export from Amazon, it is substantial overhead for a simple task.
Some Phantoms also require browser cookies or session tokens to authenticate with target platforms. This adds a technical step that non-technical users may find frustrating, and session tokens expire, requiring periodic reconfiguration.
Cloud processing means data leaves your machine
All PhantomBuster Phantoms execute on their cloud infrastructure. Your scraped data -- reviews, comments, usernames, any personal information contained in those reviews -- passes through and is stored on PhantomBuster's servers. For academic researchers working under institutional review board (IRB) protocols, competitive intelligence analysts handling proprietary research, or anyone subject to strict data handling policies, this is a meaningful consideration.
Minimum cost is $69/month
After the 14-day free trial, the cheapest PhantomBuster plan is $69/month (Starter). That gives you 20 hours of execution time and 5 Phantom slots. If you are using the platform solely for review scraping -- a task it was not built for -- you are paying a premium for LinkedIn automation capabilities, workflow chaining, and cloud infrastructure that you do not need.
How Comment Exporter Handles Review Extraction
Comment Exporter takes a fundamentally different approach. Instead of being a cloud automation platform that can attempt many things, it is a Google Chrome extension with one focus: extracting comments and reviews from platforms where people share opinions.
The 3-step process
- ✓Navigate to any supported page -- a Reddit thread, YouTube video, Amazon product listing, Steam game page, or any of the other 11 supported platforms
- ✓Click the extension icon in your Chrome toolbar. Comment Exporter automatically detects which platform you are on and activates the correct parser
- ✓Preview, filter, and export. See the data before downloading. Choose CSV or JSON. The file is generated locally in your browser -- nothing is uploaded to external servers
There is no account creation for the free tier. No Phantom configuration. No execution-time tracking. No session cookies to provide. The extension is installed from the Chrome Web Store, and you can start exporting Reddit comments within 30 seconds of installation -- for free.
Platform-specific parsers, not generic scrapers
Each of the 11 supported platforms has a dedicated parser that knows exactly what data to extract and how each site structures its content. The Amazon parser captures star ratings, review titles, review bodies, dates, verified purchase status, and helpful vote counts. The YouTube parser captures comment text, author names, like counts, reply threads, and timestamps. The Steam parser captures review text, playtime at review, recommendation status, and helpful votes.
This is the opposite of a generic scraper that tries to infer page structure. Comment Exporter's parsers are built and tested for each specific platform, which means consistent output format, complete metadata, and no missing fields.
What users say about the experience
The difference in complexity shows up in user feedback. As one user, Mitran Marian, put it: "Compared to other tools, the price is incredibly low for the quality it delivers. I can now export reviews from Amazon in seconds." That "in seconds" part is key -- there is no setup phase, no waiting for cloud execution, no reviewing AI-detected fields for accuracy.
Alfon Labadan highlighted the data quality: "The files it spits out are perfectly formatted, no messy cleanup needed." Purpose-built parsers produce clean, structured output because they know exactly what fields to expect on each platform.
Feature-by-Feature Comparison
This detailed breakdown covers every dimension that matters when choosing between PhantomBuster and Comment Exporter for review and comment extraction.
| Feature | Comment Exporter | PhantomBuster |
|---|
| Primary purpose | Comment and review extraction | LinkedIn automation and lead generation |
| Deployment | Chrome extension (local) | Cloud platform |
| Number of review/comment platforms | 11 dedicated parsers | Limited (Instagram, Twitter, Google Maps scrapers -- not review-focused) |
| Amazon review extraction | Yes (dedicated parser, 20+ country domains) | No dedicated Phantom |
| Reddit comment extraction | Yes (free, unlimited) | No dedicated Phantom |
| YouTube comment extraction | Yes (dedicated parser) | Limited (some video-related Phantoms exist) |
| Steam, Etsy, Quora, HN, Product Hunt | Yes (all 5) | No dedicated Phantoms |
| LinkedIn automation | No | Extensive (dozens of Phantoms) |
| Setup time for first export | Under 1 minute | 15-30 minutes (account, Phantom config, test run) |
| Preview before export | Yes | Test run available |
| Filter before export | Yes | Post-processing required |
| Export formats | CSV, JSON | CSV, JSON, API |
| Data stays local | Yes (in-browser processing) | No (cloud processing) |
| Workflow automation | No | Yes (Phantom chaining, scheduling) |
| API access | No | Yes |
| Comment nesting preserved | Yes (Reddit, YouTube, HN) | N/A for most review platforms |
| Requires cookies/session tokens | No | Sometimes (depends on Phantom) |
The pattern is clear: PhantomBuster wins on automation, workflow complexity, and LinkedIn coverage. Comment Exporter wins on review platform coverage, simplicity, data privacy, and cost. They are genuinely different tools for different jobs.
Pricing Breakdown
Pricing is where the comparison becomes most stark. PhantomBuster's execution-time model was designed for cloud-based automation workflows running across hours and days. Comment Exporter's flat-rate model was designed for people who need unlimited access to review and comment data without tracking usage.
PhantomBuster pricing (as of March 2026)
- ✓Free trial: 14 days, limited execution time
- ✓Starter ($69/mo): 20 hours execution/month, 5 Phantom slots
- ✓Pro ($159/mo): 80 hours execution/month, 15 Phantom slots
- ✓Team ($439/mo): 300 hours execution/month, 50 Phantom slots
Comment Exporter pricing
- ✓Free (forever): Reddit comment export -- unlimited, no account required
- ✓All Access ($49.99/mo): All 11 platforms, unlimited exports, CSV and JSON
- ✓All Access Yearly ($24.99/mo): Same features, billed annually at $299/year -- save 50%
Annual cost comparison
Let us put real numbers on this. Assume you need a paid plan from each tool to cover your review scraping needs.
- ✓PhantomBuster Starter: $69/mo x 12 = $828/year
- ✓PhantomBuster Pro: $159/mo x 12 = $1,908/year
- ✓Comment Exporter monthly: $49.99/mo x 12 = $599.88/year
- ✓Comment Exporter yearly: $299/year
Comment Exporter's yearly plan costs $529 less than PhantomBuster's cheapest paid plan ($299 vs $828). And that PhantomBuster plan does not include dedicated scrapers for Amazon, Steam, Etsy, Quora, Hacker News, or Product Hunt. You would be paying about 2.8 times as much for a tool that cannot do the specific job you need.
Scenario: Monthly competitive analysis
You are a product manager running monthly competitor analysis. Each month you export reviews from 3 Amazon products (roughly 500 reviews each) and 5 Reddit discussion threads about your industry (300 comments each).
Total monthly volume: 1,500 Amazon reviews + 1,500 Reddit comments = 3,000 items.
- ✓Comment Exporter: $49.99/mo. All exports covered. Reddit is free, Amazon included in All Access. No volume limits. Total annual cost: $599.88 (or $299 on yearly plan)
- ✓PhantomBuster: Cannot do this workflow. No Amazon review Phantom, no Reddit comment Phantom. You would need a different tool entirely for both data sources. Even if equivalent Phantoms existed, execution time for 3,000 items would consume meaningful hours of your monthly allocation
Scenario: Reddit-only research
You are a researcher tracking discussions across 10 subreddits. Weekly exports of 5-10 threads, averaging 400 comments each.
- ✓Comment Exporter: $0. Reddit is free on Comment Exporter. Unlimited exports, no cap, no trial period. As one user, Pendo Kessam, described: "I exported 2,000 Reddit comments and loaded them straight into my research pipeline."
- ✓PhantomBuster: No dedicated Reddit Phantom. You would need to use a generic web scraping approach, which consumes execution time and produces unstructured output without comment threading, vote counts, or flair metadata
For a broader look at how different tools compare on pricing and features, see our best comment exporters comparison.
Platform Coverage Comparison
This table shows which review and comment platforms each tool supports with dedicated, purpose-built extraction capabilities. A checkmark means the tool has a specific, tested scraper or parser for that platform -- not just the theoretical ability to attempt scraping any web page.
| Platform | Comment Exporter | PhantomBuster |
|---|
| Reddit | Yes (free, unlimited) | No dedicated Phantom |
| YouTube | Yes (dedicated parser) | Limited (video data, not comment-focused) |
| Amazon | Yes (20+ country domains) | No dedicated Phantom |
| Steam | Yes (dedicated parser) | No dedicated Phantom |
| Etsy | Yes (dedicated parser) | No dedicated Phantom |
| Hacker News | Yes (dedicated parser) | No dedicated Phantom |
| Product Hunt | Yes (dedicated parser) | No dedicated Phantom |
| Quora | Yes (dedicated parser) | No dedicated Phantom |
| LinkedIn | No | Yes (extensive -- dozens of Phantoms) |
| Instagram | No | Yes (follower, post, and profile scrapers) |
| Twitter/X | No | Yes (profile and follower scrapers) |
| Google Maps | No | Yes (business listing scraper) |
The coverage gap is unmistakable. Out of the 11 platforms where Comment Exporter provides dedicated review and comment extraction, PhantomBuster has no purpose-built equivalent for 7 of them (Reddit, Amazon, Steam, Etsy, Hacker News, Product Hunt, and Quora). PhantomBuster's strengths are concentrated on LinkedIn, Instagram, Twitter, and Google Maps -- platforms built for lead generation and social media automation, not review analysis.
If you need to scrape reviews without coding, Comment Exporter covers the platforms that matter for that use case. If you need LinkedIn data for sales outreach, PhantomBuster is the clear winner.
When PhantomBuster Is the Better Choice
PhantomBuster is not the right tool for review scraping, but there are clear scenarios where it is the superior choice. Acknowledging these honestly is important.
- ✓LinkedIn lead generation: If your core workflow involves extracting LinkedIn profiles, sending automated connection requests, running message sequences, or scraping Sales Navigator search results, PhantomBuster has no equal in its category. Comment Exporter does not touch LinkedIn at all
- ✓Social media audience building: Growing Instagram followers, extracting Twitter follower lists, analyzing social media engagement metrics -- PhantomBuster has dedicated Phantoms for these tasks. Comment Exporter does not operate on Instagram or Twitter
- ✓Multi-step automated workflows: If you need to chain together a series of data collection and outreach steps -- scrape profiles, enrich data, send messages, track responses -- PhantomBuster's Phantom chaining and cloud scheduling enable sophisticated automation that runs without your intervention
- ✓Google Maps business data: Extracting business listings, phone numbers, addresses, and operating hours from Google Maps is a PhantomBuster strength. This is not a use case Comment Exporter addresses
- ✓API-driven data pipelines: Engineering teams that need to trigger scraping tasks programmatically and pipe results into existing data infrastructure benefit from PhantomBuster's API. Comment Exporter is a manual, user-triggered tool
- ✓Growth hacking at scale: Sales teams running outbound campaigns across LinkedIn, Instagram, and Twitter simultaneously get genuine value from PhantomBuster's breadth. The $69-$439/month pricing is justified when the tool directly drives revenue through lead generation
The thread running through all of these is the same: PhantomBuster excels when the job is about lead generation, outreach automation, and social media growth. It was built for sales and marketing teams at companies where LinkedIn is a primary revenue channel.
When Comment Exporter Is the Better Choice
Comment Exporter wins when the job is specifically about extracting what people say in reviews and comments. Here are the use cases where it is the clearly superior tool.
- ✓Amazon review analysis: Product managers, e-commerce sellers, and market researchers who need structured Amazon review data across multiple products and country domains. Comment Exporter supports 20+ Amazon country domains with a dedicated parser that captures star ratings, review titles, bodies, dates, verified purchase status, and helpful votes. PhantomBuster has no Amazon review capability
- ✓Academic and market research: Researchers collecting public opinion data from Reddit discussions, YouTube video comments, Quora answers, or Hacker News threads. The local processing model means data never leaves the researcher's machine -- important for IRB compliance and data governance. Reddit is free
- ✓Steam and gaming industry analysis: Game developers and publishers analyzing player feedback through Steam reviews, including playtime data and recommendation ratios. PhantomBuster has no Steam support
- ✓E-commerce seller intelligence: Etsy sellers researching competitor product reviews and customer feedback using Comment Exporter's Etsy review parser. PhantomBuster does not cover Etsy
- ✓YouTube content analysis: Creators and brands analyzing YouTube comments for sentiment, audience feedback, and engagement patterns. Comment Exporter preserves reply threading and captures like counts per comment
- ✓Budget-conscious teams: Anyone who needs review data but cannot justify $69+/month for a tool primarily designed for LinkedIn automation. At $49.99/month (or $299/year), Comment Exporter has a lower annual cost than PhantomBuster while actually covering the platforms that matter for review analysis
- ✓Non-technical users: People who need review data but do not want to configure cloud automation platforms, manage session cookies, or debug Phantom execution errors. Comment Exporter's one-click workflow requires zero technical knowledge
For more guides and tutorials on using Comment Exporter for specific workflows, visit our blog. You may also find our comparisons with ExportComments, Thunderbit, and Outscraper helpful if you are evaluating multiple alternatives.
Frequently Asked Questions
Can PhantomBuster scrape Amazon reviews?
PhantomBuster does not have dedicated Phantoms for Amazon product reviews. Its automation library focuses primarily on LinkedIn, Instagram, Twitter, and Google Maps. If you need structured review data from Amazon, Steam, Etsy, or similar platforms, Comment Exporter provides purpose-built parsers for each with one-click export and no credit limits.
How much cheaper is Comment Exporter compared to PhantomBuster?
Comment Exporter's All Access plan costs $49.99/month ($24.99/month on the yearly plan) for unlimited exports across 11 platforms. PhantomBuster's cheapest paid plan starts at $69/month with metered execution time. On an annual basis, Comment Exporter costs $299/year compared to PhantomBuster's $828/year -- a $529 savings. And Comment Exporter covers review platforms (Amazon, Steam, Etsy, Quora, Hacker News, Product Hunt) that PhantomBuster does not support at all.
Is PhantomBuster or Comment Exporter better for LinkedIn scraping?
PhantomBuster is the better tool for LinkedIn -- and it is not close. PhantomBuster has dozens of dedicated LinkedIn Phantoms for profile scraping, connection requests, message sequences, and lead generation workflows. Comment Exporter does not support LinkedIn at all. It focuses exclusively on review and comment platforms like Reddit, YouTube, Amazon, Steam, and others. Choose PhantomBuster for LinkedIn lead gen and Comment Exporter for review extraction.
Bottom Line
PhantomBuster and Comment Exporter are not really competitors -- they are tools built for fundamentally different jobs that happen to overlap in the broad category of "data extraction."
PhantomBuster is a cloud-based automation powerhouse for sales teams and growth hackers. It dominates LinkedIn automation, supports multi-step outreach workflows, and provides API access for engineering teams. If your revenue depends on LinkedIn prospecting or social media audience building, PhantomBuster's $69-$439/month pricing can deliver strong ROI.
But if your goal is extracting reviews and comments from platforms where customers share opinions -- Amazon, YouTube, Reddit, Steam, Etsy, Quora, Hacker News, Product Hunt, Facebook, Google Maps, and Shopify -- PhantomBuster is the wrong tool entirely. It lacks dedicated scrapers for many of those platforms, costs more annually, requires complex setup, and processes your data on external cloud servers.
Comment Exporter does one thing and does it exceptionally: structured review and comment extraction from 11 platforms, with purpose-built parsers, flat-rate pricing, in-browser processing, and zero configuration. For the specific job of turning online reviews and comments into structured data, it is the better tool at a fraction of the cost.
Install Comment Exporter from the Chrome Web Store -- Reddit is free, no account required.
About the author
Daniel is the founder of Adlicio. He builds the scrapers behind it and uses them daily to turn customer comments and reviews into ad angles.