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Obsession vs Firecrawl: scraped pages beside what companies show only to customers

Firecrawl reads a page the moment your code asks, login steps included. Obsession stays signed up for months and keeps every email, price and offer that arrives.

In Obsession vs Firecrawl, Firecrawl turns pages into clean data for AI agents and Obsession keeps what companies show only to signed-up customers. Firecrawl reads a page when your code asks, login steps included in a short session; Obsession stays signed up for months and keeps every email, member price, trial limit and cancel offer, each dated with a screenshot. Teams often use Firecrawl for what a company publishes and Obsession for what it sends its customers.

ComparedFirecrawl and Obsession at a glanceGo straight to the comparison
On this page
  1. What Firecrawl and Obsession are
  2. Firecrawl and Obsession at a glanceCompared
  3. When to use Firecrawl, and when to use Obsession
  4. Using Firecrawl and Obsession together

What Firecrawl and Obsession are

Firecrawl: web data from any page you point it at

As of 11 November 2026, Firecrawl’s home page says “Firecrawl is the open-source web data API for AI agents and LLM applications”. Its products are Search, Scrape, Crawl, Map, Parse, Interact and Monitor: find pages, turn them into markdown or JSON, walk a whole site, and check pages again for changes.

For pages behind a login, Firecrawl offers two tools. Its scrape endpoint takes actions such as click, write, press and wait before it reads a page, and serves a cached copy younger than 2 days unless you ask for a fresh one. Interact drives a managed browser through multi-step flows; its home page says it supports “login, click, fill” but “is not designed for long-running persistent sessions”. Its pages don’t describe staying signed up to a company for days or keeping the emails a company sends.

Obsession: the web behind the login, kept over time

Obsession collects what companies show only to customers, step by step: their screens, emails and texts, member prices, trial limits, quotes and cancel offers, each dated with a screenshot. Teams and AI agents look up any company through the API or MCP, and a company not yet covered is added on request. Each account stays open for months, so every new email, price and offer lands dated the day it arrives, and nobody writes or maintains login steps for each company.

Firecrawl and Obsession at a glance

OptionWhat it holdsHow it’s readFreshness and historyPrice as listedBest for
FirecrawlSearch, Scrape, Crawl, Map, Interact, MonitorAny page you point it at, as markdown or JSONAPI, SDKs, CLI and an MCP serverCache up to 2 days, or freshMonitor checks pages againFree: 1,000 credits a monthStandard $99 a monthScale $749 a monthTurning public pages into data
ObsessionOursSearch, Insights, Watch, API and MCPEmails, member prices, trial limits, quotes, cancel offers5 verbs over MCP, the API and SDKs, or a tableKept from the first sign-upEach fact dated with its screenshotEarly access, onboarding teams nowPriced per call or per company watchedWhat a company shows only to customers
Firecrawl’s row is from its own pages and its pricing page, read 11 November 2026. Obsession’s row is from the developer page.

When to use Firecrawl, and when to use Obsession

  • Use Firecrawl to read pages on demand: a competitor’s docs, a whole site crawled into your own search, a public pricing page turned into JSON, or a page you check again each week. It is open source, so a team can run it itself.
  • Use Obsession for what a company shows only after someone becomes its customer: the welcome email and the 3 that follow, the price a signed-in member pays, the limit on the free plan and the save offer in the cancel flow. Those arrive over days and weeks, after a login wall, so a request that lasts minutes never sees them.
  • Build it yourself, or look it up. With web scraping tools or a headless browser, a team writes the login steps for each company, keeps an inbox per account and stores every capture. Obsession does that for any company you name, and keeps the history for as long as you follow it.

Using Firecrawl and Obsession together

Both run as MCP servers (Firecrawl’s is in its docs; Obsession’s install line is on the developer page), so one agent can call both. Firecrawl reads the competitor’s public site; Obsession returns what that competitor emailed new customers this month and the price a signed-in member sees, each with its receipt: the raw email with its DKIM result, or the page as captured.

To see one company’s record end to end, open the sample data. An Obsession agent never gets round a CAPTCHA or a bot block; where a site puts one in front of a step, the record names the step it couldn’t reach (the lines every agent keeps).

Yes, for a session. Its scrape actions and its Interact endpoint can fill a login form and read the page after it, and Interact can save a browser profile for later scrapes. Its home page says Interact is not designed for long-running persistent sessions.

For scraping public pages, no: use Firecrawl or another scraper. Obsession holds what companies show only to signed-up customers, kept over months, so teams that need both use both.

Its pages don’t describe it. Obsession keeps every email a company sends a new subscriber, dated as it arrived, with its sender checked.

Firecrawl lists a free plan with 1,000 credits a month, Hobby at $19, Standard at $99, Growth at $399 and Scale at $749 a month, read on 11 November 2026. Obsession is in early access and is priced per call or per company watched, never per token.

Sources

In the order the page cites them. Every page was read on 11 Nov 2026.

  1. Firecrawl: the web data API for AIFirecrawl
  2. ScrapeFirecrawl docs
  3. PricingFirecrawl
  4. Firecrawl MCP serverFirecrawl docs

Related terms

Each defined in a sentence, with where it shows up.

Compare and choose

Obsession beside the tools teams already use, from each tool’s own pages.

Guides that use it

Step-by-step guides, each with every source linked.

Where to go next

The pages that explain Obsession in depth.

Which company should we look up first?

Onboarding a limited number of teams. Name up to 5 companies to look up first.

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See sample data