Flarum Forum Scraper
Pricing
Pay per event
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
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Developer
Turgay NANTA
Maintained by CommunityActor stats
0
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1
Total users
0
Monthly active users
21 days ago
Last modified
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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)
- Click Try for free / Start — every field has a working default, nothing is required.
- (Optional) change query to what you need.
- Open the Dataset tab when the run finishes → export as JSON, CSV or Excel.
Input
| Field | Required | Default | Description |
|---|---|---|---|
query | no | https://discuss.flarum.org extensions | Forum URL followed by optional search terms. URL only → latest discussions. Works on ANY public Flarum forum. |
maxResults | no | 20 | Maximum clean results (capped at 500) |
enrich | no | false | Deterministic enrichment per record — see below |
monitor | no | false | Compare 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
| Field | Meaning |
|---|---|
id | Discussion ID (stable, deduplication key) |
title | Discussion title |
url | Canonical discussion URL |
reviews | Reply count (engagement metric) |
participants | Distinct participant count |
created_at / last_posted_at | ISO timestamps straight from the forum |
is_sticky | Whether the discussion is pinned |
price / price_text | Parsed numeric value + original text, when the source publishes one |
completeness | 0–1 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 ApifyClientclient = 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
| Event | When charged |
|---|---|
| Actor start | Free ($0) — try it with one click |
result | Per clean result returned |
enrichment | Only per record that actually got enriched |
change-alert | Monitor 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.
Is this legal?
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.