---
title: "ParseHub Alternative: Faster Review Scraping Without the Learning Curve"
description: "Compare ParseHub alternatives for review scraping by platform coverage, workflow setup, pricing, ease of use, and export options."
canonical: https://tryadlicio.com/blog/parsehub-alternative
---

# ParseHub Alternative: Faster Review Scraping Without the Learning Curve

Published 2026-03-13. https://tryadlicio.com/blog/parsehub-alternative

**Quick Verdict:** [ParseHub](https://www.parsehub.com/) is a powerful general-purpose visual web scraper -- excellent for complex, multi-page data extraction projects that need custom templates. But if your goal is exporting comments and reviews from platforms like Amazon, Reddit, YouTube, or Steam, [Comment Exporter](/scrapers/reddit-comment-scraper) does the job in seconds with zero configuration. It costs $49.99/month (or $24.99/month yearly) vs. ParseHub's $189/month Standard plan; annually, ParseHub costs about 7.6x more. Reddit scraping is completely free. No desktop app download, no template building, no learning curve.

## ParseHub vs Comment Exporter at a Glance

Before diving into the details, here is a high-level overview of how these two tools compare for comment and review scraping specifically. ParseHub is designed to scrape data from any website through visual template building. [Comment Exporter](/scrapers/reddit-comment-scraper) is designed to do one thing exceptionally well: extract comments and reviews from 11 specific platforms with purpose-built parsers.

| Category | Comment Exporter | ParseHub |
| --- | --- | --- |
| **Tool type** | Chrome extension (purpose-built) | Desktop application (general-purpose) |
| **Setup required** | Install extension, start exporting | Download desktop app, build templates |
| **Learning curve** | None -- one-click operation | Moderate to steep (template configuration) |
| **Supported platforms** | 11 review/discussion platforms | Any website (requires manual setup per site) |
| **Free tier** | Reddit (unlimited, forever) | 5 projects, 200 pages/run |
| **Paid pricing** | $49.99/mo (or $24.99/mo yearly) | $189/mo Standard, $599/mo Professional |
| **Annual cost** | $299/yr (yearly plan) | $2,268/yr (Standard plan) |
| **Export formats** | CSV, JSON | CSV, JSON, Excel |
| **Data processing** | Local (in-browser, private) | Cloud-based (data on their servers) |
| **Chrome Web Store rating** | 5.0/5 (10,000+ weekly users) | N/A (desktop app) |

The core difference is specialization vs. generalization. ParseHub can scrape virtually any website -- but every new site requires building a scraping template from scratch. Comment Exporter only covers 11 platforms, but each one has a purpose-built parser that extracts every relevant field automatically. For review and comment scraping, that specialization translates to less time, less cost, and more accurate data.

* * *

## What ParseHub Does Well

[ParseHub](https://www.parsehub.com/) has earned its reputation as one of the more accessible general-purpose web scrapers on the market. It deserves credit for several genuine strengths.

#### Visual point-and-click interface

ParseHub's strongest feature is its visual approach to scraping. Instead of writing code, you click on the data elements you want to extract on a rendered web page. The tool then generates the extraction logic behind the scenes. For non-developers, this is a meaningful improvement over writing [Python](https://www.python.org/) scripts with Beautiful Soup or Scrapy. You can see what you are selecting, preview the results, and adjust without touching a line of code.

#### Handles JavaScript-rendered pages

Many websites load content dynamically using JavaScript. ParseHub renders pages in a full browser environment, which means it can access content that simpler HTTP-based scrapers miss entirely. This is a genuine technical advantage for scraping modern single-page applications, infinite scroll pages, and dynamically loaded content.

#### Complex multi-page navigation

ParseHub supports conditional logic, pagination handling, dropdown interaction, and multi-level page navigation within its templates. If you need to click through 50 pages of search results, follow links into detail pages, and extract nested data, ParseHub can handle that workflow. This makes it valuable for large-scale data collection projects that span many pages and require interaction with page elements.

#### Flexible data extraction

Because ParseHub works on any website, it can extract virtually any type of structured data -- product catalogs, real estate listings, job postings, contact directories, pricing tables, and more. The desktop application gives you fine-grained control over exactly which elements to capture and how to structure the output.

#### API access on paid plans

For developers and teams building automated pipelines, ParseHub offers API access on its paid plans. This allows you to trigger scraping runs programmatically and retrieve results in JSON format, integrating ParseHub into larger data workflows.

ParseHub is a capable tool with a loyal user base. Its strengths are real. The question is whether those strengths matter when your specific goal is exporting reviews and comments from established platforms.

* * *

## Where ParseHub Falls Short for Review Scraping

ParseHub was built to scrape any website. That flexibility comes with trade-offs that become particularly painful when the task is extracting comments and reviews from platforms like [Amazon](https://www.amazon.com/), YouTube, or Reddit.

#### 1\. You need to download and install a desktop application

ParseHub is not a browser extension. It is a desktop application that you download and install on Windows, Mac, or Linux. Before you can scrape a single review, you need to download the installer (over 100 MB), run the installation, create an account, and launch the application. For someone who just wants to grab 200 Amazon reviews for a quick competitive analysis, this is a significant barrier. A Chrome extension installs in seconds from the [Chrome Web Store](https://chromewebstore.google.com/) and works immediately on the page you are already viewing.

#### 2\. Every website requires a custom template

ParseHub does not know what an "Amazon review" looks like out of the box. You need to build a scraping template by clicking on elements in the page, telling ParseHub which data fields to extract, configuring pagination rules, and defining how the output should be structured. For Amazon reviews alone, you would need to select the review body, star rating, reviewer name, review date, review title, verified purchase badge, and helpful vote count -- manually, one field at a time.

Now repeat that process for YouTube comments. And Reddit threads. Each platform has a completely different page structure, meaning each one requires its own template built from scratch.

#### 3\. Steep learning curve for non-technical users

ParseHub's documentation is extensive for a reason: the tool has real complexity. Understanding selection commands, relative selections, conditional extraction, and regular expression filters takes time. For a data engineer or experienced scraper, this is manageable. For a marketing manager, product researcher, or academic who needs review data for analysis, the learning curve is a real obstacle.

ParseHub's own getting-started guide acknowledges that building your first project takes multiple steps: selecting elements, training the parser, handling pagination, and debugging failed extractions. Compare that to opening a page and clicking one button.

#### 4\. Template maintenance when websites change

Websites update their layouts regularly. Amazon, Reddit, and YouTube all modify their page structures periodically. When they do, ParseHub templates break. You need to rebuild or fix the template, re-select elements, and verify the extraction is working again. With a purpose-built tool like Comment Exporter, platform parser updates are handled by the development team and deployed automatically through extension updates.

#### 5\. Cloud-based data processing raises privacy concerns

ParseHub processes scraped data on its cloud servers. Your extracted reviews, comments, and associated metadata pass through ParseHub's infrastructure. For academic researchers working under IRB protocols, competitive intelligence teams handling proprietary research, or anyone working with sensitive market data, this creates a data handling concern that does not exist with a tool that processes everything locally in the browser.

#### 6\. Pricing is prohibitive for review-specific use cases

ParseHub's free plan limits you to 5 projects and 200 pages per run. The moment you need more capacity -- and with review scraping, you almost always do -- you are looking at $189/month for the Standard plan or $599/month for the Professional plan. For extracting reviews and comments, these prices are difficult to justify when a specialist tool does the same job for $49.99/month.

* * *

## How Comment Exporter Works

[Comment Exporter](/scrapers/reddit-comment-scraper) takes a fundamentally different approach. Instead of being a general-purpose scraper that requires configuration for every website, it is a Chrome extension with 11 purpose-built platform parsers. Each parser is custom-engineered to extract every relevant field from its target platform.

#### Step 1: Install the Chrome extension

Go to the [Chrome Web Store](https://chromewebstore.google.com/), search for Comment Exporter (or click any install link in this article), and click "Add to Chrome." Installation takes under 10 seconds. No desktop app download, no account creation required for Reddit.

#### Step 2: Navigate to any supported page

Open any page on the 11 supported platforms: Reddit, YouTube, Amazon, Steam, Hacker News, Product Hunt, Etsy, Quora, Facebook, Google Maps, or Shopify. The extension icon in your browser toolbar indicates when it detects a supported page.

#### Step 3: Click and export

Click the extension icon. Comment Exporter automatically identifies all comments or reviews on the page and presents a preview. You can filter and review the data before exporting to CSV or JSON. The entire process -- from clicking the icon to having a file on your computer -- takes seconds, not minutes.

#### What gets extracted (platform-specific fields):

-   **[Amazon reviews](/scrapers/amazon-review-scraper):** Star rating, review title, review body, reviewer name, review date, verified purchase status, helpful votes, product variant. Supports 20+ Amazon country domains
-   **[YouTube comments](/scrapers/youtube-comment-scraper):** Comment text, author name, like count, reply count, timestamp, reply threads
-   **Reddit comments:** Comment body, author, vote count, flair tags, nesting depth, timestamps, reply structure
-   **Steam reviews:** Review text, recommendation status, playtime at review, total playtime, helpful votes
-   **Etsy reviews:** Star rating, review text, buyer details, purchased item
-   **Hacker News:** Comment text, author, points, reply depth, timestamps
-   **Product Hunt:** Comments, upvotes, maker responses
-   **Quora:** Answer text, author, upvote count, author credentials

Every one of these fields is pre-configured. You never need to select elements, build templates, or configure extraction rules. The parser knows exactly where each field lives on each platform and extracts it automatically.

As one user put it: _"The files it spits out are perfectly formatted, no messy cleanup needed."_ -- Alfon Labadan

* * *

## Feature-by-Feature Comparison

Here is a detailed breakdown of how ParseHub and Comment Exporter compare across the features that matter most for review and comment scraping.

| Feature | Comment Exporter | ParseHub |
| --- | --- | --- |
| **Installation** | Chrome extension (10 seconds) | Desktop app download (100+ MB) |
| **Account required** | No (for Reddit); email for paid | Yes (required for all use) |
| **Time to first export** | Under 30 seconds | 15-30 minutes (template setup) |
| **Template/config per site** | None (pre-built parsers) | Yes (manual per-site setup) |
| **Review-specific fields** | Pre-configured per platform | Manual selection required |
| **Comment nesting/threads** | Yes (preserves reply structure) | Requires complex template logic |
| **Platform-specific metadata** | Yes (flair, playtime, verified purchase, etc.) | Only if manually configured in template |
| **Amazon country support** | 20+ country domains | Separate template per domain |
| **Export formats** | CSV, JSON | CSV, JSON, Excel |
| **Preview before export** | Yes (filter and review data) | Yes (after run completes) |
| **Data processing location** | Local (in-browser, private) | Cloud (ParseHub servers) |
| **JavaScript rendering** | Yes (runs in browser natively) | Yes (built-in browser engine) |
| **Handles pagination** | Auto-loads comments/reviews | Yes (manual pagination config) |
| **Template maintenance** | Automatic (extension updates) | Manual (rebuild when sites change) |
| **API access** | No | Yes (paid plans) |
| **Scheduled/automated runs** | No | Yes (paid plans) |
| **Non-standard websites** | No (11 platforms only) | Yes (any website) |
| **Technical skill required** | None | Moderate (template building, debugging) |

The pattern is clear: ParseHub offers more flexibility but demands more from the user. Comment Exporter offers less breadth but delivers a frictionless experience for its supported platforms. If your scraping needs are entirely within those 11 platforms, you are paying for flexibility you do not use. For a deeper look at how comment-specific tools compare, see our [best comment exporters comparison](/blog/best-comment-exporters).

* * *

## Pricing Breakdown: ParseHub vs Comment Exporter

This is where the difference becomes most tangible. ParseHub is priced for enterprise and professional scraping teams. Comment Exporter is priced for individuals, researchers, and small teams who need review data.

#### ParseHub pricing (as of March 2026):

-   **Free:** 5 projects, 200 pages per run, desktop app required
-   **Standard ($189/mo):** 14 projects, 10,000 pages per run, API access
-   **Professional ($599/mo):** Unlimited projects, 100,000 pages per run, priority support

#### Comment Exporter pricing:

-   **Free:** Reddit comment export -- unlimited, no account required, forever
-   **All Access Monthly ($49.99/mo):** All 11 platforms, unlimited exports, CSV and JSON
-   **All Access Yearly ($24.99/mo):** Same as monthly, save 50% -- $299/year total

#### Annual cost comparison:

| Plan | Monthly Cost | Annual Cost |
| --- | --- | --- |
| **Comment Exporter (monthly)** | $49.99 | $599.88 |
| **Comment Exporter (yearly)** | $24.99 | $299 |
| **ParseHub Standard** | $189.00 | $2,268.00 |
| **ParseHub Professional** | $599.00 | $7,188.00 |

**The math:** At $189/month, ParseHub's Standard plan costs $2,268/year. Comment Exporter's yearly plan costs $299/year. That is a difference of $1,969 -- ParseHub is about **7.6x more expensive** for review scraping. Even ParseHub's free plan, while $0, limits you to 5 projects and 200 pages per run, which is restrictive for any serious review analysis.

#### Real-world cost scenario: Scraping 1,000 Amazon reviews monthly

Imagine you are a product manager or Amazon seller who needs to export 1,000 competitor reviews each month across 5-10 products.

-   **Comment Exporter:** $49.99/month. Open each product page, click export, done. Total time per product: under 1 minute. Total monthly cost regardless of volume: $49.99
-   **ParseHub Free:** You could attempt this on the free plan, but 200 pages per run may not capture all reviews on products with 200+ reviews spanning multiple pages. You would need to build a template first (30+ minutes for first-time users), and you are limited to 5 projects total
-   **ParseHub Standard ($189/mo):** Functionally capable, but you are paying $189/month for a task that Comment Exporter handles for $49.99/month. Over a year, that is $2,268 vs. $599.88 -- an extra $2,028.12 spent

One user who made the switch described the value difference: _"Compared to other tools, the price is incredibly low for the quality it delivers. I can now export reviews from Amazon in seconds."_ -- Mitran Marian

#### Cost scenario: Reddit-only research

If your work focuses on Reddit -- tracking subreddit discussions, analyzing community sentiment, collecting feedback threads -- the comparison is even more stark.

-   **Comment Exporter:** $0. Reddit scraping is free, forever, with no limits
-   **ParseHub Free:** 5 projects, 200 pages per run. You would need to build a Reddit-specific template and work within strict page limits
-   **ParseHub Standard:** $189/month for a task that is free with Comment Exporter

* * *

## When ParseHub Is the Better Choice

ParseHub is not the right tool for dedicated review scraping, but there are legitimate use cases where its general-purpose design is the correct choice. Being honest about this helps you make the right decision for your workflow.

-   **Scraping non-standard or custom websites:** If you need data from a proprietary web application, a niche industry directory, a government data portal, or any website that Comment Exporter does not support, ParseHub's visual template builder is a strong option. Comment Exporter only works on its 11 supported platforms -- nothing else
-   **Complex multi-page scraping workflows:** Projects that require clicking through search results, following links into detail pages, interacting with dropdowns, and aggregating data across hundreds of pages are ParseHub's strength. Its template logic can handle conditional navigation, relative selections, and multi-level page traversal
-   **API-driven data pipelines:** If you are building an automated data pipeline that needs to trigger scraping runs programmatically and ingest results via API, ParseHub's API access (on paid plans) supports that workflow. Comment Exporter does not have an API
-   **Scheduled, recurring scrapes:** ParseHub supports scheduled runs on paid plans, allowing you to set up a scraping job that runs daily, weekly, or at custom intervals without manual intervention. Comment Exporter requires you to manually trigger each export
-   **Enterprise-scale data extraction:** For organizations running dozens of scraping projects simultaneously with tens of thousands of pages per run, ParseHub's Professional plan ($599/month) provides the capacity and support for large-scale operations
-   **Excel and advanced export needs:** If your workflow specifically requires Excel output format (not just CSV), ParseHub supports that natively

The deciding factor is whether your use case is general web scraping or specifically review and comment extraction. ParseHub excels at the former. Comment Exporter excels at the latter.

* * *

## When Comment Exporter Is the Better Choice

If your workflow matches any of the following patterns, [Comment Exporter](/scrapers/reddit-comment-scraper) will save you significant time, money, or both.

-   **You need reviews or comments from Amazon, YouTube, Reddit, Steam, Etsy, Quora, Hacker News, Product Hunt, Facebook, Google Maps, or Shopify:** These are Comment Exporter's 11 supported platforms, and each one has a purpose-built parser. If your data sources are within this list, there is no reason to use a general-purpose scraper that requires manual template building for each platform
-   **You want results in seconds, not hours:** ParseHub requires downloading software, building templates, running extraction jobs, and waiting for results. Comment Exporter requires clicking one button. For time-sensitive research -- analyzing a trending Reddit thread, pulling reviews before a product launch -- speed matters
-   **You are not a technical user:** Marketers, product managers, academic researchers, content strategists, Amazon sellers -- if building scraping templates is not your core skill, Comment Exporter removes the technical barrier entirely. No CSS selectors, no XPath, no pagination configuration, no debugging failed extractions
-   **You need predictable, low costs:** $49.99/month or $24.99/month (yearly) for unlimited exports across all 11 platforms. No variable costs, no page limits on paid plans, no surprises. Compare that to ParseHub's $189/month minimum for any meaningful capacity
-   **Data privacy is a concern:** Comment Exporter processes all data locally in your [Google Chrome](https://www.google.com/chrome/) browser. Nothing is sent to external servers. ParseHub processes data on its cloud infrastructure. For researchers under IRB review, analysts handling proprietary competitive data, or anyone subject to data handling policies, local processing is a significant advantage
-   **You scrape Reddit regularly:** Comment Exporter's Reddit tier is free -- unlimited, forever, no account required. For Reddit-only workflows, the cost comparison is $0 vs. $189/month
-   **You work across multiple review platforms:** A competitive analysis that spans Amazon reviews, Steam ratings, and YouTube comments requires three separate ParseHub templates (each built manually). With Comment Exporter, you use the same one-click workflow on all three platforms

For a step-by-step guide on how to extract reviews without any coding knowledge, read our article on how to [scrape reviews without coding](/blog/scrape-reviews-without-coding).

* * *

## Real-World Use Cases

Here are three scenarios that illustrate when Comment Exporter's purpose-built approach delivers more value than ParseHub's general-purpose flexibility.

#### Use Case 1: Market researcher analyzing competitor sentiment

Sarah is a market research consultant. Her client wants a sentiment analysis of three competing SaaS products across YouTube, Product Hunt, and Reddit. She needs to collect 1,500+ reviews and comments, export them to CSV, and feed them into her analysis pipeline.

**With ParseHub:** Sarah downloads the desktop application, creates an account, and begins building a scraping template for YouTube. She spends 25 minutes configuring the selector for comment text, author name, like count, and timestamp. She runs the extraction and waits for it to process on ParseHub's servers. She then repeats the entire template-building process for Product Hunt (different page structure, different selectors) and Reddit (another unique structure). Total setup time: 60-90 minutes across three platforms, before any data analysis begins. Cost: $189/month minimum for the Standard plan.

**With Comment Exporter:** Sarah installs the Chrome extension in 10 seconds. She opens the first YouTube page, clicks the extension, and exports all comments to CSV. She repeats for Product Hunt and Reddit. Total time for all three platforms: under 5 minutes. She loads the CSV files into her analysis tool -- or better yet, [analyzes the reviews with ChatGPT](/blog/analyze-reviews-with-chatgpt) for instant sentiment insights. Cost: $49.99/month (Reddit portion is free). Annual savings with the $299 yearly plan vs. ParseHub: $1,969.

#### Use Case 2: Amazon seller monitoring product reviews

James sells products on [Amazon](https://www.amazon.com/) across 3 country domains (US, UK, Germany). He monitors his own product reviews and competitor reviews weekly to track quality issues, identify feature requests, and respond to customer concerns. He needs to [download Amazon reviews](/blog/how-to-download-amazon-reviews) consistently across multiple domains.

**With ParseHub:** James needs separate scraping templates for each Amazon domain because page structures vary slightly between amazon.com, amazon.co.uk, and amazon.de. Building and maintaining 3 templates is manageable but time-consuming, especially when Amazon updates its review page layout (which happens periodically). Each template update requires re-selecting elements and re-testing. Cost: $189/month.

**With [Comment Exporter's Amazon review scraper](/scrapers/amazon-review-scraper):** Comment Exporter supports 20+ Amazon country domains out of the box. James opens any Amazon product page on any supported domain, clicks export, and gets a complete CSV with star ratings, review titles, review body, dates, verified purchase status, and helpful votes. No template per domain, no maintenance when Amazon updates its layout. Cost: $49.99/month.

_"Compared to other tools, the price is incredibly low for the quality it delivers. I can now export reviews from Amazon in seconds."_ -- Mitran Marian

#### Use Case 3: Academic researcher collecting discussion data

Dr. Chen is a social science researcher studying online discourse patterns. Her research requires collecting thousands of Reddit comments and Hacker News discussions for computational text analysis. Data privacy is critical -- her university's IRB requires that research data not pass through third-party cloud services.

**With ParseHub:** Immediate concern: ParseHub processes data on its cloud servers. Dr. Chen would need to evaluate whether ParseHub's data handling meets her university's IRB requirements -- which, in most cases, it would not. Beyond the privacy issue, building Reddit and Hacker News templates requires understanding ParseHub's template logic, and Reddit's nested comment structure is particularly difficult to capture accurately with a general-purpose scraper. Cost: $189/month, plus IRB compliance risk.

**With Comment Exporter:** All data processing happens locally in Dr. Chen's browser. No data is transmitted to any external server -- it is extracted from the page and saved directly to her computer. This satisfies IRB data handling requirements. Reddit scraping is free, and the Hacker News parser preserves comment nesting depth and reply structure. She can export thousands of comments and load them directly into her research pipeline. Cost: $49.99/month for Hacker News access (Reddit is free).

As another researcher noted: _"I exported 2,000 Reddit comments and loaded them straight into my research pipeline."_ -- Pendo Kessam

* * *

## Frequently Asked Questions

#### Is ParseHub good for scraping Amazon reviews?

ParseHub can scrape Amazon reviews, but it requires downloading a desktop application, manually building a scraping template, and configuring selectors for each data field (star rating, review text, reviewer name, date, verified purchase status). Each Amazon country domain may require a separate template. [Comment Exporter's Amazon review scraper](/scrapers/amazon-review-scraper) extracts all of these fields automatically with one click, supports 20+ Amazon country domains, and costs $49.99/month vs. ParseHub's $189/month. If Amazon reviews are your primary scraping need, Comment Exporter is significantly faster, cheaper, and easier to use.

#### How much does ParseHub cost compared to Comment Exporter?

ParseHub's Standard plan costs $189/month ($2,268/year) with 14 projects and 10,000 pages per run. The Professional plan is $599/month ($7,188/year). [Comment Exporter](/scrapers/reddit-comment-scraper) costs $49.99/month or $24.99/month on the yearly plan ($299/year) for unlimited exports across all 11 supported platforms. Reddit scraping is completely free. On an annual basis, ParseHub's Standard plan is about 7.6x more expensive than Comment Exporter's yearly plan. The cost difference is $1,969 per year for review scraping use cases where both tools deliver equivalent results.

#### Do I need to download software to use Comment Exporter instead of ParseHub?

No. Comment Exporter is a Chrome extension that installs directly from the [Chrome Web Store](https://chromewebstore.google.com/) in under 10 seconds. ParseHub requires downloading and installing a separate desktop application (100+ MB) on Windows, Mac, or Linux. With Comment Exporter, you can start exporting reviews from any supported platform within seconds of installation -- no desktop app, no account creation for Reddit, no template configuration. All you need is [Google Chrome](https://www.google.com/chrome/).

* * *

## Bottom Line

ParseHub is a powerful, well-built general-purpose web scraper. For complex data extraction projects that span custom websites, require multi-page navigation logic, or need API-driven automation, it delivers genuine value. Its visual template builder is more accessible than writing code, and its JavaScript rendering capability handles modern web applications well.

But for the specific task of exporting reviews and comments from established platforms -- Amazon, YouTube, Reddit, Steam, Etsy, Quora, Hacker News, Product Hunt, Facebook, Google Maps, and Shopify -- ParseHub is like using a Swiss army knife to open a bottle when a bottle opener is right there. You can do it, but it takes longer, costs more, and the result is not as clean.

[Comment Exporter](/scrapers/reddit-comment-scraper) is that bottle opener. It does one job -- structured comment and review exports from 11 platforms -- and does it in seconds with zero configuration. At $49.99/month (or $24.99/month yearly) vs. ParseHub's $189/month, the cost savings are substantial: $1,969 per year on the yearly plan. And with 10,000+ weekly users, a 5.0/5 Chrome Web Store rating, and in-browser privacy, it is a tool built by people who understand what review and comment data users actually need.

If your scraping needs extend beyond reviews and comments to custom websites and complex data pipelines, ParseHub may still have a place in your toolkit. But for the review scraping work itself, Comment Exporter is faster, cheaper, and easier -- and that is not a marginal improvement, it is a category difference.

[Install Comment Exporter from the Chrome Web Store](https://chromewebstore.google.com/detail/reddit-comment-scraper/ahjjidbbielmekkaklabocljkljbmnlm) -- Reddit is free, no account required.

You can also explore our other comparison articles: [ExportComments alternative](/blog/exportcomments-alternative) and [Thunderbit alternative](/blog/thunderbit-alternative). For more guides and tutorials, visit our [blog](/blog).