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FlareSolverr vs PostgREST

Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.

FlareSolverr

Open source · MIT

A local proxy server that opens a real browser to get past Cloudflare checks for your requests.

PostgREST

Open source · MIT

Turns an existing PostgreSQL database into a REST API with no hand-written server code.

The short answer

Choose FlareSolverr if you need…

  • Developers whose scripts are blocked by Cloudflare challenges on pages they are allowed to access
  • People running self-hosted tools that need to fetch Cloudflare-protected pages through a local REST endpoint
  • Users who prefer running the service in Docker

Choose PostgREST if you need…

  • Developers who already have a PostgreSQL database and want an HTTP API on top of it quickly
  • Teams that want database rules and permissions to be the single source of truth for access control
  • Projects that need API versioning through database schemas and views
  • Backends that prefer declarative constraints in the database over application-level validation

Side-by-side

FlareSolverrPostgREST
TypeAppApp
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars16.1k27.7k
Setup difficultyIntermediateIntermediate
How you get itRun with DockerDownload the app
Main languagePythonHaskell
Last code update13 days ago7 days ago

What each one is

FlareSolverr

FlareSolverr is a proxy server that runs on your own machine and handles requests for pages protected by Cloudflare or DDoS-GUARD. When a request arrives, it launches a Chrome browser, loads the page, waits until the protection challenge is solved or times out, then returns the HTML and cookies. Other HTTP tools can then reuse those cookies.

PostgREST

PostgREST is a server that reads your existing PostgreSQL database and serves a RESTful HTTP API from it. Developers use it to avoid writing and maintaining custom API code for common create, read, update, and delete operations. Authentication uses JSON Web Tokens, and authorization relies on the database's own roles.

Best for

FlareSolverr

  • Developers whose scripts are blocked by Cloudflare challenges on pages they are allowed to access
  • People running self-hosted tools that need to fetch Cloudflare-protected pages through a local REST endpoint
  • Users who prefer running the service in Docker

PostgREST

  • Developers who already have a PostgreSQL database and want an HTTP API on top of it quickly
  • Teams that want database rules and permissions to be the single source of truth for access control
  • Projects that need API versioning through database schemas and views
  • Backends that prefer declarative constraints in the database over application-level validation

Strengths

FlareSolverr

  • Runs as a simple REST API that works from curl, Python, or PowerShell
  • Reuses browser sessions so you do not have to solve challenges on every request
  • Available as a Docker image, precompiled binary, or from source under the MIT license

PostgREST

  • Uses the database as the source of truth for authorization and data validation
  • Built in Haskell with pooled connections and binary protocol access, which the README says gives good response times
  • Generates OpenAPI documentation automatically from the database structure

Not ideal for

FlareSolverr

  • Anyone planning to expose it to the internet, since the README warns it can be abused
  • Machines with little RAM, because each request launches a new browser and browsers use a lot of memory
  • Users who need to run it on non-x64 hardware outside Docker, since precompiled binaries and source installs are x64 only

PostgREST

  • Projects not using PostgreSQL, since the README describes it only for PostgreSQL databases
  • Teams that need a lot of custom application logic inside the API layer, which the README's model of delegating work to the database does not suit well
  • Non-developers, because setup requires database roles, JWT configuration, and familiarity with SQL

Trade-offs

FlareSolverr

  • Browsers consume significant memory, so concurrent requests need enough RAM
  • Works only for sites you are permitted to access; it is not a general guarantee against blocking
  • Setup has platform-specific caveats such as Chromium not working on Windows for source installs

PostgREST

  • Performance claims in the README come from a single Heroku free-tier benchmark and should be verified for your own workload
  • Its security and data-integrity model depends on correctly designing database roles and constraints, which takes SQL expertise
  • The README is truncated here, so details of configuration and limitations are not covered in this entry

Getting started

FlareSolverr

Start the container with the Docker CLI

docker run -d --name=flaresolverr -p 127.0.0.1:8191:8191 -e LOG_LEVEL=info --restart unless-stopped ghcr.io/flaresolverr/flaresolverr:latest
Step-by-step guide: how to use FlareSolverr

PostgREST

Show help after installing

postgrest --help
Step-by-step guide: how to use PostgREST

Frequently asked questions

What is the difference between FlareSolverr and PostgREST?

FlareSolverr: A local proxy server that opens a real browser to get past Cloudflare checks for your requests. PostgREST: Turns an existing PostgreSQL database into a REST API with no hand-written server code. FlareSolverr suits developers whose scripts are blocked by cloudflare challenges on pages they are allowed to access, while PostgREST suits developers who already have a postgresql database and want an http api on top of it quickly.

Are FlareSolverr and PostgREST free?

FlareSolverr: Free and open source. PostgREST: Free and open source.

Is FlareSolverr or PostgREST more popular?

PostgREST has more GitHub stars (27.7k) than FlareSolverr (16.1k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to FlareSolverr and PostgREST?

Other options people compare them with include Gotenberg, One API, camofox-browser.

Keep comparing

Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.