Flarum Forum Scraper avatar

Flarum Forum Scraper

Pricing

Pay per event

Go to Apify Store
Flarum Forum Scraper

Flarum Forum Scraper

Search or monitor any Flarum-powered forum — not social media. Clean discussion JSON with replies, participants, dates, canonical URLs. Free to start, API & MCP ready.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Turgay NANTA

Turgay NANTA

Maintained by Community

Actor stats

0

Bookmarked

1

Total users

0

Monthly active users

21 days ago

Last modified

Share

Search any Flarum-powered forum and get clean, de-duplicated discussion JSON: title, replies, participants and canonical URLs. One click, no required fields, no LLM.

What it does

Flarum is a fast, open-source forum platform used by thousands of self-hosted communities — from software projects (Flarum's own community) to hobby and support forums. Every public Flarum forum ships the same open JSON:API. This one actor works on any of them: point it at a forum URL, optionally add search terms, and get clean discussion JSON — titles, reply/participant counts, excerpts and canonical URLs. Use it to research communities, track mentions of your product, or feed fresh discussions to an AI agent.

Why this one:

  • One actor for EVERY public Flarum forum (self-hosted, no central directory)
  • Search mode + latest-discussions mode in one
  • Monitor mode: only NEW discussions on scheduled runs
  • No LLM anywhere — deterministic output, predictable costs, no hallucinated fields
  • Clean by default — canonical URLs (tracking parameters stripped), parsed numbers, merged duplicates

Quick start (no code)

  1. Click Try for free / Start — every field has a working default, nothing is required.
  2. (Optional) change query to what you need.
  3. Open the Dataset tab when the run finishes → export as JSON, CSV or Excel.

Input

FieldRequiredDefaultDescription
querynohttps://discuss.flarum.org extensionsForum URL followed by optional search terms. URL only → latest discussions. Works on ANY public Flarum forum.
maxResultsno20Maximum clean results (capped at 500)
enrichnofalseDeterministic enrichment per record — see below
monitornofalseCompare with the previous run, flag NEW records only

Example input:

{
"query": "https://discuss.flarum.org extensions",
"maxResults": 50
}

Output

Real example record (from a live run):

{
"id": "3039",
"title": "How to update extensions? Can I update all extensions at once?",
"url": "https://discuss.flarum.org/d/3039-how-to-update-extensions-can-i-update-all-extensions-at-once",
"reviews": 15.0,
"participants": 7,
"created_at": "2016-06-01T16:51:38+00:00",
"last_posted_at": "2016-08-03T16:02:35+00:00",
"completeness": 0.33
}

The final _summary row carries run totals (total_clean, deduped, enriched); in monitor mode a _changes row lists keys new since the last run.

Field reference

FieldMeaning
idDiscussion ID (stable, deduplication key)
titleDiscussion title
urlCanonical discussion URL
reviewsReply count (engagement metric)
participantsDistinct participant count
created_at / last_posted_atISO timestamps straight from the forum
is_stickyWhether the discussion is pinned
price / price_textParsed numeric value + original text, when the source publishes one
completeness0–1 filled-fields score (with enrich)

Use cases

  • Community listening — search every mention of your product across self-hosted Flarum forums.
  • Support mining — collect unanswered questions in your niche and answer them where users are.
  • Content research — the most-replied discussions of a niche forum are a ranked list of what people care about.
  • Competitive research — track feature requests and complaints on a competitor's community.
  • AI agents — give your agent live forum context via MCP.

Enrichment (optional, charged only when it produces something)

Set enrich: true and every record additionally gets: e-mail addresses extracted from the description (when present), the canonical domain of the record's URL, and a completeness score (0–1, how many core fields are filled). Deterministic — the same input always yields the same output — and you are only charged for records that actually got enriched. Records where enrichment adds nothing are free.

Monitor mode — change alerts on a schedule

Set monitor: true and the actor compares the current run with the previous one (per-actor named storage) and flags only NEW records. Combine with Apify Schedules for a daily/hourly watch: the _changes summary row lists what appeared since the last run, and the change-alert event is charged per new record only — an unchanged run costs you almost nothing.

Use it from your code

Python

from apify_client import ApifyClient
client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("EnezLi/flarum-scraper").call(run_input={ "query": "https://discuss.flarum.org extensions", "maxResults": 50 })
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const { defaultDatasetId } = await client.actor('EnezLi/flarum-scraper').call({ "query": "https://discuss.flarum.org extensions", "maxResults": 50 });
const { items } = await client.dataset(defaultDatasetId).listItems();
console.log(items);

curl

curl -X POST "https://api.apify.com/v2/acts/EnezLi~flarum-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
-H "Content-Type: application/json" \
-d '{ "query": "https://discuss.flarum.org extensions", "maxResults": 50 }'

Use it with AI agents (MCP)

This actor is agent-ready: it appears in Apify's AGENTS / MCP servers catalog, so any MCP-capable assistant (Claude, custom agents, LangGraph tools) can discover and call it with a one-line tool call — zero required fields means an agent can run it safely with defaults. Connect your agent to the Apify MCP server and ask for live data in natural language.

Pricing — Pay-Per-Event, start is free

EventWhen charged
Actor startFree ($0) — try it with one click
resultPer clean result returned
enrichmentOnly per record that actually got enriched
change-alertMonitor mode: per NEW record since the previous run

No subscription, no minimum. Volume discounts apply automatically through Apify account tiers (up to −44% on GOLD). Typical run cost example: 20 results ≈ a few cents total — you can predict your bill from the numbers above before you run.

This actor collects publicly available data only — the same information any visitor sees in a browser, via public endpoints. It does not bypass logins, collect private personal data, or store credentials. You are responsible for using the output in compliance with the source site's terms and the laws that apply to you (e.g. GDPR when the output contains personal data).

Support & feedback

Found a bug, need another field, or want a variant for a related platform? Open an issue on the Issues tab — issues are monitored and answered, and frequently-requested fields get added to the standard output. The actor is maintained as part of a scraper family built on one shared, tested core (bugs fixed once are fixed everywhere).

Changelog

  • 0.1 (2026-07) — initial public release: search, dedup, optional enrichment, monitor mode, PPE pricing.

Limitations (honest ones)

Discussion-level data only (no full post text yet). Search relevance is the forum's own search. Private forums are out of scope.

FAQ

Which forums does this work on?

Any public Flarum instance — if <forum>/api/discussions returns JSON in your browser, it works. Private/login-only forums are not supported.

Can I scrape full posts/replies?

The actor returns discussion-level data (title, excerpt, counts). Full thread content is a planned add-on — open an issue if you need it.

How do I monitor a forum daily?

Enable monitor and schedule the actor (Apify Schedules). Each run charges only for NEW discussions via change-alert.

Do I need an API key or account on the source platform?

No. The actor uses public endpoints — you only need your Apify account.

Does it use AI / an LLM?

No. The core is fully deterministic: same input, same output, no hallucinations, no per-token costs.

Can I run it on a schedule?

Yes — use Apify Schedules; combine with monitor mode to pay only for what's new.

What's the maximum number of results?

500 per run (memory-safe cap). Run multiple queries or schedule runs for more.

How is my bill calculated?

Only from the events in the Pricing table — start is free, and there is no subscription.