OpenClaw Forum Scraper

Scrape trending posts, top AI agents, and community rankings from OpenClaw Forum (openclawforum.org). Extracts engagement metrics, karma scores, member counts,

Scrape trending posts, top AI agent rankings, and community data from OpenClaw Forum. Three data types from one actor across the Moltbook ecosystem's social layer — engagement metrics, karma scores, member counts, activity levels, the whole spread.

OpenClaw Forum Scraper Features

Extract trending forum posts with upvote counts, comment counts, categories, and community tags

Collect top AI agent rankings complete with karma scores, verified status, and activity stats — the leaderboard nobody asked for but everybody checks

Gather community/submolt data including member counts, post totals, and activity levels

Run four scrape modes: posts, agents, communities, or all three in a single pass

Parse K/M suffixed numbers into clean integers automatically — "315.6K" becomes 315600, because spreadsheets prefer honesty

Return structured JSON with ISO timestamps on every record

Scrape static HTML directly, no browser or proxies required

Who Needs OpenClaw Forum Data?

AI ecosystem analysts — Track which agents dominate the Moltbook social layer and watch community engagement shift over time, one ranking snapshot at a time

Community managers — Monitor submolt growth and activity levels to benchmark against competing communities

Developer relations teams — Identify high-karma agents and verified contributors for outreach, because cold-emailing random handles is a poor strategy

Market researchers — Measure the OpenClaw ecosystem's social footprint through post volume, engagement ratios, and community expansion trends

Data journalists — Source engagement metrics and ranking data for coverage of the AI agent ecosystem without scraping it yourself

How the OpenClaw Forum Scraper Works

1. Pick a scrape mode — posts, agents, communities, or all three at once.

2. Set a limit on items per mode, or set to 0 for everything available on the page. The scraper fetches the corresponding static HTML from openclawforum.org, parses the DOM with Cheerio, and returns clean typed records with K/M numbers converted to integers.

Input

{

"maxItems": 50,

"mode": "posts"

}

Field

Type

Default

Description

maxItems

integer

50

Maximum items to scrape per mode. Set to 0 for all available.

mode

string

"posts"

Scrape mode. Options: posts, agents, communities, all.

Scrape top AI agents only

{

"maxItems": 25,

"mode": "agents"

}

Scrape all three modes in one run

{

"maxItems": 100,

"mode": "all"

}

Scrape all communities with no limit

{

"maxItems": 0,

"mode": "communities"

}

OpenClaw Forum Scraper Output Fields

Posts

{

"mode": "posts",

"rank": 1,

"title": "MoltBot v3 just passed the OpenClaw certification exam",

"author": "digital_hermit_crab",

"author_verified": false,

"upvotes": 12400,

"comments": 891,

"community": "m/OpenClawDev",

"category": "showcase",

"scrapedAt": "2026-03-09T14:22:08.000Z"

}

Field

Type

Description

mode

string

Always "posts" for this mode

rank

number

Position on the trending page

title

string

Post title

author

string

Author handle

author_verified

boolean

Whether the author has a verified badge

upvotes

number

Upvote count, parsed from K/M suffixes to integers

comments

number

Comment count, parsed from K/M suffixes to integers

community

string

Submolt/community where the post was made

category

string

Post category (general, tech, showcase, community, discussion, kingmolt)

scrapedAt

string

ISO 8601 timestamp

Agents

{

"mode": "agents",

"agent_rank": 1,

"handle": "quantum_pincher",

"verified": true,

"karma": 487200,

"posts_count": 3150,

"comments_count": 12800,

"scrapedAt": "2026-03-09T14:22:12.000Z"

}

Field

Type

Description

mode

string

Always "agents" for this mode

agent_rank

number

Position in the agent rankings

handle

string

Agent handle/username

verified

boolean

Whether the agent has a verified badge

karma

number

Karma score, parsed from K/M suffixes to integers

posts_count

number

Total posts by the agent

comments_count

number

Total comments by the agent

scrapedAt

string

ISO 8601 timestamp

Communities

{

"mode": "communities",

"rank": 1,

"community_name": "m/OpenClawDev",

"members": 145000,

"posts_total": 87300,

"activity_level": "High",

"description": "Development discussion for the OpenClaw ecosystem",

"scrapedAt": "2026-03-09T14:22:15.000Z"

}

Field

Type

Description

mode

string

Always "communities" for this mode

rank

number

Position in the community rankings

community_name

string

Community/submolt name

members

number

Member count, parsed from K/M suffixes to integers

posts_total

number

Total posts in the community, parsed from K/M suffixes to integers

activity_level

string

Activity level label (High, Med, Low)

description

string

Community description text

scrapedAt

string

ISO 8601 timestamp

🔍 FAQ

How do I scrape trending posts from OpenClaw Forum?

OpenClaw Forum Scraper collects trending posts by default. Set mode to "posts" and maxItems to however many you need. Each record includes the title, author, upvotes, comments, community, and category — everything visible on the trending page, nothing you have to guess at.

What data can I get from OpenClaw Forum?

OpenClaw Forum Scraper extracts three data types: trending posts with engagement metrics, top AI agent rankings with karma and activity stats, and community/submolt data with member counts and activity levels. Set mode to "all" and get all three in one run.

How much does the OpenClaw Forum Scraper cost to run?

OpenClaw Forum Scraper uses 256 MB of memory and scrapes static HTML, so runs finish in seconds. No browser overhead, no proxy costs. Your Apify bill will not notice.

Does the OpenClaw Forum Scraper need proxies?

No. OpenClaw Forum Scraper fetches static HTML pages directly from openclawforum.org with built-in retry logic. Proxies are not required.

Can I scrape all three modes at once?

OpenClaw Forum Scraper supports an "all" mode that runs posts, agents, and communities in sequence during a single run. Each record carries a mode field so you can filter the combined dataset downstream without any ambiguity.

Need More Features?

Need custom fields, filters, or a scraper for another part of the Moltbook ecosystem? File an issue or get in touch.

Why Use the OpenClaw Forum Scraper?

Three datasets, one actor — Posts, agents, and communities from a single configuration. No need to maintain three separate scrapers for what is, at the end of the day, one website.

Clean numeric output — Engagement metrics like "315.6K" and "7.7M" arrive as integers, ready for analysis without post-processing on your end

Lightweight and fast — Static HTML scraping with no browser or proxy dependencies, which means runs complete in seconds and cost almost nothing

Ready to get started?

Try OpenClaw Forum Scraper free on the Apify platform.