Common Room vs Octoparse
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentOctoparse compared with Common Room
Not competitors, but they get shortlisted together by teams asking where GTM signal comes from. Common Room ingests and unifies signal from communities, social platforms, product usage, and CRM through supported integrations, then scores and routes it. Octoparse extracts arbitrary data from any public page with no integration required. Common Room is the better answer when your signal lives in systems it already connects to; Octoparse is the answer when it lives on a website that has no API and never will.
Choose Common Room if
Mid-market and enterprise go-to-market teams, especially product-led and developer-first companies, that already have meaningful signal volume (community activity, free-tier usage, inbound traffic) and enough reps and RevOps capacity to justify a five-figure annual contract and act on what the platform surfaces.
Choose Octoparse if
Small go-to-market, research, and ecommerce teams that need recurring structured data from websites with no scraping API, have nobody to write and babysit a Python crawler, and want the extraction to run on someone else's infrastructure on a schedule.
Side by side
13 attributes| Attribute | Common Room | Octoparse |
|---|---|---|
| Category | GTM Engineering | GTM Engineering |
| Starting price | About $2,500 per month billed annually (roughly $30,000 per year) on the Essential plan | Free for 10 tasks and 50,000 exported rows per month; paid plans from $58 per month billed annually ($69 monthly) (free plan available) |
| Pricing model | Annual subscription with three tiers, priced by included seats, tracked contacts, and AI credits (separate research and Prospector meters). Only the entry tier carries a published price; the two above it are quote-only. DataAgent, extra credits, and additional seats are add-ons on every plan. | Per-account subscription priced by number of tasks (saved scrapers) and concurrent cloud runs, not by rows or requests. A permanent free plan covers local extraction only; cloud runs, scheduling, IP rotation, and CAPTCHA solving all sit behind the first paid tier. Annual billing carries roughly a 16 percent discount, and an Enterprise tier is quote-only. |
| Free plan | No | 10 tasks, 1 user, 1 device, 2 concurrent local runs, 50,000 rows exported per month with a 10,000-row cap per export, last 5 run histories, no cloud extraction |
| Free trial | No | No standalone trial; the free plan serves as the evaluation path, and paid plans carry a 5-day money-back guarantee |
| Best for | Mid-market and enterprise go-to-market teams, especially product-led and developer-first companies, that already have meaningful signal volume (community activity, free-tier usage, inbound traffic) and enough reps and RevOps capacity to justify a five-figure annual contract and act on what the platform surfaces. | Small go-to-market, research, and ecommerce teams that need recurring structured data from websites with no scraping API, have nobody to write and babysit a Python crawler, and want the extraction to run on someone else's infrastructure on a schedule. |
| Setup time | Days to weeks. Connecting the CRM, Slack, and a website tag is quick; getting to trustworthy scoring, clean segments, and routing that reps do not mute takes several weeks of configuration with the assigned customer success manager. | Under an hour from download to a first working scraper on a straightforward listing page, largely because auto-detect does the initial configuration. A complex multi-level workflow with logins and conditional branches is a half-day exercise the first time and much faster afterwards. |
| Learning curve | Moderate to steep for the admin, low for the rep. Reps consume Slack alerts and briefs and need almost no training. Whoever owns scoring models, segments, and workflows is doing RevOps work, and reviewers repeatedly note the UI does not make that work self-explanatory. | Low to start, moderate to master. The clicking layer is genuinely accessible. What takes longer is learning the failure modes: when to override auto-detect, how long to set waits on JavaScript-heavy pages, when a loop is matching too many elements, and how to read a run that returned 40 rows instead of 400. |
| Platforms | Web application, Slack app, Chrome extension, CLI, MCP server, REST API | Windows desktop app (Windows 10 64-bit or higher), macOS desktop app, Web dashboard for cloud task management, Browser-based free web tools |
| Compliance | GDPR, CCPA, SOC 2 Type II | GDPR-aligned data handling, CCPA, Standard cloud infrastructure security controls |
| Founded | 2020 | 2016 |
| Headquarters | Seattle, Washington, United States | Walnut, California, United States |
| Ownership | Acquired by Zoom (agreement announced July 2026) | Independent, privately held (Octopus Data Inc.) |
Strengths and limitations
Common Room
Strengths
- The identity resolution layer is genuinely differentiated; collapsing community handles, product events, web sessions, and CRM records onto one person is hard and most competitors only do part of it.
- Community and open-source signals (GitHub, Discord, Discourse, Stack Overflow) are covered better here than anywhere else, a legacy of the company's original product.
- Waterfall enrichment across multiple providers holds match rates up where single-vendor lookups fail.
- Workflows land where reps already are: Slack, the sequence tool, the CRM, and a Chrome extension, rather than asking anyone to live in a new dashboard.
Limitations
- No free plan and no self-serve trial; you cannot evaluate the product without going through a sales process, and the previous entry tiers were removed.
- The published entry price of roughly $2,500 per month billed annually puts it out of reach for small businesses, and only that one tier has a public number.
- DataAgent is an add-on on all three plans, so the CRM hygiene capability shown on the product pages is not in the price you were quoted unless you asked for it.
- Reviewers consistently describe the UI as clunky, particularly navigating between segments and workflows, and report that Prospector filtering is shallower than dedicated prospecting tools.
Octoparse
Strengths
- One of the most capable point-and-click builders in the category: loops, branches, detail-page drill-down, and login handling without writing a selector.
- Auto-detect produces a working scraper from a bare URL on most listing pages, which collapses the first hour of work to a minute.
- Cloud extraction with IP rotation, residential proxies, and CAPTCHA solving is bundled into the subscription rather than billed as separate infrastructure.
- Concurrency is a purchasable dial: 20 parallel cloud runs on Professional turns multi-day crawls into overnight ones.
Limitations
- No custom JavaScript injection and no Playwright or Puppeteer style control, so interaction patterns the visual actions cannot express are simply out of reach.
- Workflows live inside the application and are not text you can version, review, or deploy through CI, which is a hard blocker for engineering-led teams.
- The free plan has no cloud runs, no scheduling, and no IP rotation, making it an evaluation sandbox rather than a small working pipeline.
- Support is email and ticket based with no live chat, and response priority is tied to plan tier, which is slow when a scraper breaks on a deadline.
Pricing compared
Common Room
Annual subscription with three tiers, priced by included seats, tracked contacts, and AI credits (separate research and Prospector meters). Only the entry tier carries a published price; the two above it are quote-only. DataAgent, extra credits, and additional seats are add-ons on every plan.
- EssentialAbout $2,500
- AdvancedCustom quote
- EnterpriseCustom quote
For a company with real signal volume and a sales team large enough to work it, Common Room replaces a stack: an enrichment vendor, a visitor identification tool, a signal aggregator, and whatever internal scripts were stitching them together. Against that, $30,000 a year is defensible arithmetic. For everyone else it is not close. There is no way to try the product without a sales cycle, the entry tier is priced above what most small businesses spend on their entire go-to-market stack, and the cheapest meaningful capability, job change tracking, is available from several tools for a fraction of the cost. This is a platform purchase for teams that have already outgrown the point solutions, and saastracker lists it as such rather than as something a small business can buy.
Octoparse
Per-account subscription priced by number of tasks (saved scrapers) and concurrent cloud runs, not by rows or requests. A permanent free plan covers local extraction only; cloud runs, scheduling, IP rotation, and CAPTCHA solving all sit behind the first paid tier. Annual billing carries roughly a 16 percent discount, and an Enterprise tier is quote-only.
- Free$0
- Standard$58
- Professional$209
- EnterpriseCustom
At $58 per month annually, Standard is priced roughly where a mid-tier scraping API or a single seat of a sales database sits, and for a team running a handful of recurring extractions it is straightforwardly cheaper than the engineering time it replaces. The value case weakens in two directions. Downward, the free plan's lack of cloud runs means many small users get nothing usable without paying, unlike tools whose free tier is a working, if small, pipeline. Upward, the $209 Professional tier is a large step for what is mostly concurrency, and a team comfortable with code can rent the same throughput from a request-level API for less. Octoparse is worth its price precisely when nobody on the team wants to write or maintain a scraper, and it stops being worth it the moment someone does.
Editorial verdict on each
Common Room
Common Room built the hardest part of signal-based selling first: an identity graph that can tell you the GitHub contributor, the anonymous pricing-page visitor, and the stale Salesforce lead are all the same person at a company worth calling. Nothing else covers community and open-source signals as well, and the activation layer is sensibly placed where reps already work. Two things changed the recommendation in 2026. The company removed its low-cost entry tiers, leaving a published floor around $2,500 per month billed annually with no free plan and no trial, which puts it beyond what a small business can buy or even evaluate. And Zoom agreed to acquire it in July 2026, so the roadmap now belongs to Zoom Revenue Accelerator. For a mid-market or enterprise team with real signal volume and RevOps capacity, it remains a strong platform worth the sales cycle. For everyone smaller, the honest advice is to assemble the same outcome from cheaper parts and revisit if Zoom reopens a self-serve door.
Read the full Common Room profileOctoparse
Octoparse is the mature answer for a team that needs recurring web data and has nobody to write a scraper. The visual builder is genuinely more capable than the browser extensions it competes with at the low end, auto-detect removes most of the setup friction, and the cloud tier bundles proxies, CAPTCHA solving, scheduling, and concurrency into one predictable subscription rather than four separate infrastructure bills. The May 2026 MCP server is a real addition rather than a press release, because it lets an agent call the tool instead of a person opening it. The honest caveats are that the free plan is an evaluation sandbox and not a working pipeline, that workflows are trapped in the app with no version control or custom JavaScript, that support is email-only when a scraper breaks on a deadline, and that the hardest anti-bot targets still defeat it. Buy it at Standard when the alternative is a spreadsheet and a copy-paste habit; look at an API-first tool the moment an engineer is available to use one.
Read the full Octoparse profileCommon Room profile last reviewed 2026-08-23; Octoparse last reviewed 2026-08-23. Pricing is compiled from public sources and can change without notice. See our methodology.