🏛️ Chamber of Commerce Member Directory Scraper — 927 Chambers

Turn any local Chamber of Commerce member directory — or 927 of them at once — into a spreadsheet of real local businesses. One row per chamber member, carrying name, category, categories[], phone, website, domain, street, address2, city, state, zip, address, fax, membershipLevel, description, chamber and detailUrl. Filter by state/province, city, or category keyword (insurance, roofing, dental, restaurants…), or paste your own chamber's host or directory URL. No login, no API key, no CAPTCHA, no proxy required.

927 chamber hosts holding 482,110 member businesses ship inside the Actor, every one of them fetched and counted live on 2026-08-12 — not quoted from a marketing page. $0.004 per member returned ($4 per 1,000), and a run that only lists the bundled chambers is free.

Chamber members are the cleanest local-SMB list there is: they are established, they pay dues every year, and they publish their own contact details on purpose. This Actor sweeps them at metro scale.

Click Try for free and press Start. The Actor ships prefilled with two real chambers (Kansas City and Memphis) — the prefilled input returned 100 rows in 8 seconds on Apify on 2026-08-13, with zero edits.

---

📊 How big is the corpus? (measured, not estimated)

Every number below was measured live on 2026-08-12 by fetching every host, not by guessing:

Hosts checked	1,034 (harvested from the Common Crawl URL index for chambermaster.com)
Live with a populated directory	927
Member businesses across them	482,110
Median directory	438 members
Largest	6,108 members (North Orange County Chamber)
Not usable	107 — 58 returned HTTP 404, 48 render an empty/migrated directory, 1 would not connect
Independent re-check, same day	150 of the 927 hosts re-fetched (60 spread evenly across the size ranking + 90 drawn at random): 150/150 answered HTTP 200 with a populated directory, and their live member counts summed to 78,869 against 78,871 in the shipped list — a 0.003% difference, 137 of 150 matching exactly
Whole-corpus re-fetch, same day	every one of the 927 hosts fetched a second time to read each chamber's own display name: 927/927 answered HTTP 200 on a direct connection and 927/927 yielded a name

Almost all of the 927 are chambers of commerce: 888 of the 927 (95.8%) carry "Chamber" in their own published name. The rest are boards of trade, business associations and similar member bodies running their directory on the same ChamberMaster platform — same endpoints, same fields, same output shape.

The verified host list — name, member count and directory URL for all 927 — ships inside the Actor, so you never have to hunt for URLs. Pick metro50, metro200 or all, choose from the 200-chamber dropdown by name, or paste your own.

---

🚀 Quick start

1. Click Try for free → the input opens already filled in.
2. Press Start. Two chambers (Kansas City and Memphis), 50 members each, 200-row cap. Measured on Apify 2026-08-13: 100 rows in 8 seconds, all 100 billed as delivered.
3. Open the Dataset tab → Export to CSV, Excel, JSON, XML or pull it from the API.
4. Now make it yours: clear Specific chambers, pick your own from the Chamber picker dropdown, or type your chamber's host.

Not sure your chamber is one of the 927? Tick Discovery mode and press Start. That run returns one row per bundled chamber — rank, chamber name, host, member count, directory URL — and is not charged, because those rows are pushed without the billing event. Measured on Apify 2026-08-13: 927 rows in 4.7 seconds, charged events: 0. Then copy the host value into Specific chambers and run for real.

The input it ships with

{
  "chamberHosts": ["kcchamber", "memphischamber"],
  "hostPreset": "sample",
  "enrichDetails": true,
  "maxMembersPerHost": 50,
  "maxItems": 100
}

Sending an empty input ({}) runs exactly that sample — two real chambers, 100 rows, about ten seconds — instead of starting a large sweep you did not ask for. Point it somewhere else with chamberHosts, the Chamber picker, or hostPreset.

Free chamber discovery

{ "listChambers": true }

Call it from your own code

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("scrapersdelight/chamber-directory-scraper").call(run_input={
    "chamberHosts": ["kcchamber"],
    "enrichDetails": True,
    "maxItems": 1000,
})
for member in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(member["name"], member["category"], member["phone"], member["website"])

// npm i apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('scrapersdelight/chamber-directory-scraper').call({
    hostPreset: 'metro200',
    categoryContains: ['insurance'],
    withPhoneOnly: true,
    maxItems: 5000,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, 'members');

# Start a run and wait for the rows in one call
curl -X POST "https://api.apify.com/v2/acts/scrapersdelight~chamber-directory-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H 'Content-Type: application/json' \
  -d '{"chamberHosts":["memphischamber"],"states":["TN"],"maxItems":100}'

---

🎯 The wedge: category and website, on 927 chambers, with a free coverage check

Three things separate this from any other way of getting chamber members:

1. The business category, which the directory page does not contain. A chamber's listing page carries the name, phone and postal address — but the business category is only ever on the member's own detail page, and the listing page shows a website for only 8.5% of members (41,219 links across all 482,110 rows; only 378 of the 927 hosts render one at all). This Actor opens each member's detail page by default, which takes category from 0.0% to 96.0% fill and website from 12.8% to 86.3%, measured on a 1,000-row run across 40 chambers. Category is what turns "a list of businesses" into "every insurance agency in this metro". The price per member is identical either way — you are trading run time for fields, never money.

2. Scale that is measured, not promised. 927 chambers, 482,110 members, every host fetched and counted on 2026-08-12, with a same-day 150-host re-check agreeing to within 0.003%. You do not supply URLs and you do not find out mid-run that your region is not covered.

3. A free way to check coverage before you spend anything. listChambers: true returns all 927 chambers with their names, hosts and member counts, and charges nothing. Most directory scrapers make you buy first and discover coverage second.

---

⚠️ Read this before you buy rows

1. A chamber's members are not all in one town. Big-city chambers carry out-of-state corporate members — Kansas City's list includes a Southwest Airlines address in Dallas. If you need tight geography, set states and/or cities; they filter on what the chamber published, and state fill is 98.4%.
2. Two record types can appear in one dataset. Discovery mode (listChambers: true) writes chamber rows (recordType: "chamber", with rank, members, directoryUrl), and a normal run writes member rows (recordType: "member"). Filter on recordType if you ever run both into the same dataset.
3. maxItems caps rows, not the search. Filters are applied across the whole directory of every selected chamber before the cap bites. Asking for 40 insurance members from Memphis still walks all 1,541 members it published on 2026-08-13 to find the ones that match. That costs run time, never money — you are billed per row returned.
4. The bundled member counts are a 2026-08-12 snapshot. Chambers add and drop members daily. Memphis read 1,537 in the corpus sweep and 1,541 when re-walked the next day. The counts tell you how big a directory is; the run itself always reads the live page.
5. enrichDetails: false empties the category column. It roughly halves run time and costs exactly the same per row — but it ships category at 0.0% and website at 12.8%. Turn it off only when you want names, phones and addresses fast.
6. Chambers differ in speed by 100x, and the run respects your timeout. Measured 2026-08-17: kcchamber answers a page in ~0.2 s, while fullertonchamber — the largest bundled directory — answers every request on a fixed ~21 s server-side delay. Rows are pushed to the dataset as each batch completes, and the run watches its own clock: if a chamber cannot finish another batch in the time left it moves on to the next chamber, and if the whole budget is spent the run ends successfully with everything it collected (and a warning saying so). You are only ever charged for rows actually returned, so a short timeout costs you rows, never money. Give a big sweep a generous run timeout. It is also why the default preset is the fast 2-chamber sample: an empty input never starts a 50-chamber sweep you did not ask for.

---

🔍 What you get

One row per chamber member. All the fields, grouped:

Identity

Field	Type	Notes
recordType	string	"member" on every scraped member row
name	string	The member business, 100% fill
memberId	string	The chamber's own data-memid — the dedupe key, unique within a chamber
chamber	string	The chamber's own published name, e.g. Greater Kansas City Chamber of Commerce
chamberHost	string	e.g. kcchamber.chambermaster.com

What the business does

Field	Type	Notes
category	string	The first category the chamber files them under, e.g. Roofing Contractors
categories	string[]	Every category, e.g. ["Accounting, Bookkeeping and Tax Services", "Tax Preparation and Consulting"]
description	string	The member's own blurb, as published (long ones are truncated by the chamber itself with a trailing "… read more")
membershipLevel	string	The member's dues tier where the chamber shows it — Basic, Gold, Community etc. null where the chamber does not publish tiers

How to reach them

Field	Type	Notes
phone	string	Normalised to (816) 363-4600 for 10-digit NANP numbers; anything else is kept verbatim
fax	string	Only where the chamber publishes one
website	string	The member's own site, absolute URL
domain	string	The bare hostname (www. stripped) — the join key for enrichment

Where they are

Field	Type	Notes
street, address2	string	Street line and suite/unit line
city, state, zip	string	As the chamber publishes them; state covers US states and Canadian provinces, zip covers ZIP and Canadian postal codes
address	string	The above joined into one line, for a single-column paste

Provenance

Field	Type	Notes
detailUrl	string	The member's page on the chamber site, 100% fill
sourceUrl	string	The directory endpoint the row came from
scrapedAt	string	ISO-8601 UTC timestamp of the run

Discovery mode rows carry a different, smaller shape: recordType: "chamber", rank, chamber, chamberHost, host, members, directoryUrl, measuredAt.

---

📏 Measured field fill

A. 1,000 rows across 40 chambers — the same input run twice, with and without detail pages

hostPreset: metro50, 25 members per chamber, 1,000 rows, no filters:

Field	Fill (detail pages on, the default)	Fill (detail pages off)
Business name	100.0%	100.0%
Chamber	100.0%	100.0%
City / State	98.1% / 98.4%	98.0% / 98.1%
ZIP	96.1%	95.5%
Street	95.2%	94.6%
Phone	96.7%	96.1%
Category	96.0%	0.0%
Website	86.3%	12.8%
Membership tier	77.5%	77.5%
Description	58.5%	26.1%
Fax	7.1%	0.0%

Category and Website are the whole reason enrichDetails defaults to on. Everything else is within ±1% either way.

B. A second, independent 200-row sample — 8 chambers, 25 each, measured 2026-08-13

Sorted by fill so the sparse fields are impossible to miss:

Field	Fill
name, detailUrl, recordType	100.0%
category	97.0%
state	97.0%
city	95.0%
phone	94.0%
website / domain	89.0%
street	89.0%
zip	88.5%
membershipLevel	87.5%
description	73.0%
fax	4.0%
address2	1.0%

The number that could mislead you: fax and address2 are almost empty in this sample (4.0% and 1.0%). They exist because some chambers publish them and dropping the column would lose real data.

And the honest counterweight: those two sparse fields are chamber-dependent, not globally sparse. Re-measured on the two chambers the Actor ships prefilled (Kansas City + Memphis, 100 rows): fax came back at 52% and 70% — an order of magnitude above the 4.0% in the table above. The same swing runs the other way on description, which is 73.0% here and 58.5% in sample A but only 26–28% on those same two prefill chambers. membershipLevel swings hardest of all: 87.5% here, 77.5% in sample A, 0% on both prefill chambers. The lesson is not "trust this table" — it is that per-chamber publishing habits dominate every optional field, which is why every run prints its own fill in the log. Do not size a workflow on a single sample; run your own chambers and read the log line.

Every run prints its own measured fill in the log, so you never have to trust this table for the slice you actually pulled:

Field fill — phone 94.0% · website 89.0% · category 97.0% · street 89.0% · city 95.0% · state 97.0% · zip 88.5%

---

📄 Sample rows (real, from a live run)

A US member with a fax and no published dues tier:

{
  "recordType": "member",
  "chamberHost": "manateechamber.chambermaster.com",
  "chamber": "Manatee Chamber of Commerce",
  "memberId": "1335",

  "name": "Cablish & Gentile, CPAs, LLC",
  "category": "Accounting, Bookkeeping and Tax Services",
  "categories": [
    "Accounting, Bookkeeping and Tax Services",
    "Tax Preparation and Consulting"
  ],
  "description": "Cablish & Gentile, CPAs, LLC has been providing personalized service to the local and national community for more than 40 years. Our desire is to make you and your business successful.",
  "membershipLevel": null,          // this chamber does not publish dues tiers

  "phone": "(941) 756-9527",
  "fax": "(941) 756-9529",
  "website": "http://www.cgg-cpa.com",
  "domain": "cgg-cpa.com",

  "street": "4855 27th Street West",
  "address2": null,
  "city": "Bradenton",
  "state": "FL",
  "zip": "34207",
  "address": "4855 27th Street West, Bradenton, FL, 34207",

  "detailUrl": "https://manateechamber.chambermaster.com/list/member/cablish-gentile-cpas-llc-1335",
  "sourceUrl": "https://manateechamber.chambermaster.com/list/search?q=&c=&sa=true",
  "scrapedAt": "2026-08-13T02:16:41.131Z"
}

A Canadian member on a chamber that does publish dues tiers:

{
  "recordType": "member",
  "chamberHost": "businessinsurrey.chambermaster.com",
  "chamber": "Surrey & White Rock Board of Trade",
  "memberId": "47620",

  "name": "Altius Health & Performance",
  "category": "Health & Wellness",
  "categories": ["Health & Wellness", "Health Resorts & Spas", "Rehabilitation Services"],
  "membershipLevel": "Gold",

  "phone": "(604) 541-9336",
  "website": "http://www.altiushp.ca",
  "domain": "altiushp.ca",

  "street": "1938 152 St.",
  "city": "Surrey",
  "state": "BC",
  "zip": "V4A4N6",          // Canadian postal code, same field as a US ZIP
  "address": "1938 152 St., Surrey, BC, V4A4N6",

  "detailUrl": "https://businessinsurrey.chambermaster.com/list/member/altius-health-performance-47620",
  "scrapedAt": "2026-08-13T02:14:34.718Z"
}

And a discovery-mode row (free):

{
  "recordType": "chamber",
  "rank": 1,
  "chamber": "North Orange County Chamber",
  "chamberHost": "fullertonchamber.chambermaster.com",
  "host": "fullertonchamber",
  "members": 6108,
  "directoryUrl": "https://fullertonchamber.chambermaster.com/list",
  "measuredAt": "2026-08-12"
}

Three things people misread:

• membershipLevel: null means the chamber publishes no tier, not that the member is unranked. Whole chambers are either all-tiered or all-null.
• state and zip are bilingual columns. BC / V4A4N6 sit in the same fields as FL / 34207. If you feed them into a US-only address validator, filter to US states first.
• category is the chamber's taxonomy, not yours. Different chambers file a roofer under Roofing Contractors, Contractors — Roofing, or Home Improvement. That is why categoryContains does a case-insensitive substring match across category, categories[], name and description rather than an exact match.

---

🧭 How to run it — named recipes

Recipe 1: "Is my chamber covered?" (free)

{ "listChambers": true }

927 rows, 4.7 seconds on Apify, no charge (the run reports member-scraped: 0). Sort by members, find your chamber, copy its host.

Recipe 2: One chamber, whole directory

{ "chamberHosts": ["kcchamber"], "hostPreset": "none", "maxItems": 2000 }

Paste the short host (kcchamber), the full host (kcchamber.chambermaster.com) or the URL you are looking at (https://kcchamber.chambermaster.com/list) — all three are accepted.

Recipe 3: Pick chambers by name, no subdomain guessing

{ "chamberPicker": ["memphischamber", "manateechamber"], "maxItems": 3000 }

The dropdown lists the 200 largest chambers as "Greater Memphis Chamber — 1,537 members (memphischamber)", so you never have to know the host.

Recipe 4: Every insurance-adjacent business across the 200 biggest chambers

{
  "hostPreset": "metro200",
  "categoryContains": ["insurance", "risk management"],
  "withPhoneOnly": true,
  "maxItems": 5000
}

Recipe 5: A whole state

{ "hostPreset": "all", "states": ["TX"], "withWebsiteOnly": true, "maxItems": 10000 }

Recipe 6: The no-website pitch list (for web and marketing agencies)

{ "hostPreset": "metro200", "enrichDetails": true, "withWebsiteOnly": false, "maxItems": 5000 }

Then filter the export to website == null. On the measured samples that is 11.0–13.7% of members — established, dues-paying businesses with no website at all.

Recipe 7: A wide, shallow regional sample

{ "hostPreset": "metro200", "maxMembersPerHost": 25, "maxItems": 5000 }

25 members each from 200 chambers instead of exhausting the first one.

Recipe 8: Fast and cheap — names, phones and addresses only

{ "hostPreset": "metro50", "enrichDetails": false, "maxItems": 2000 }

Roughly half the run time, identical price per row, and an empty category column (website drops to 12.8%).

Recipe 9: Monitor a chamber for new members

Attach an Apify Schedule (daily or weekly) to Recipe 2 and diff memberId between runs. For one association with built-in Slack / webhook / email alerts on new joiners, use our GrowthZone Directory Scraper instead — that is the job it was built for.

---

⚙️ Input

Fields in schema order. Everything has a default or a prefill, so a zero-edit run works.

Field	Type	Default	What it does
listChambers	boolean	false	Free discovery mode. Skips scraping and returns all 927 bundled chambers (rank, name, host, member count, directory URL). Pushed without the billing event, so it costs $0 in Actor charges.
hostPreset	select	sample	Which slice to sweep when you name no chambers: sample (the 2 sample chambers — fast, the default) · metro50 · metro200 · all (927 chambers / 482,110 members) · none. The bigger presets are ordered largest-first, and the largest chambers answer on a ~21 s server-side delay per page — give metro50 / metro200 / all a run timeout of an hour or more.
chamberPicker	multi-select	[]	The 200 largest chambers by name, each labelled with its measured member count. Overrides the preset.
chamberHosts	string list	prefilled ["kcchamber","memphischamber"]	Any ChamberMaster chamber, bundled or not. Accepts kcchamber, kcchamber.chambermaster.com or a full directory URL. Overrides the preset. Clear it to use the preset.
enrichDetails	boolean	true	Open each member's detail page. Category 0.0% → 96.0%, website 12.8% → 86.3%. Roughly doubles run time. Same price either way.
categoryContains	string list	[]	Case-insensitive substring match across category, categories[], name and description. Needs enrichDetails on to match real categories.
states	multi-select	[]	A 65-entry dropdown: 50 US states + DC + Puerto Rico, and 13 Canadian provinces and territories. No more typos killing a run, and rows that publish a full name ("Illinois", "British Columbia") are mapped back to the code before filtering.
cities	string list	[]	Exact city names as the chamber publishes them (Kansas City, not KC). Case-insensitive.
withPhoneOnly	boolean	false	Drops rows with no phone — about 1 in 30 at 96.7% fill.
withWebsiteOnly	boolean	false	Drops rows with no website (86.3% fill with detail pages on, 12.8% without).
maxItems	number	100	Your hard cost cap. Rows returned and charged. 100 = $0.40, 200 = $0.80, 1,000 = $4, the whole corpus = ~$1,928. Filters run over the whole directory first, so this never cuts a search short.
maxMembersPerHost	number	0 (prefill 50)	Spread the budget across chambers instead of exhausting the first. 0 = no per-chamber limit.
detailConcurrency	number	8	Parallel detail-page requests, 1–16. Every measurement on this page was taken at 8. Does not change price.
proxyConfiguration	proxy	off	Not needed — see the transport ladder below. Set one only if you need a fixed egress IP.

---

💵 Pricing

$0.004 per chamber member returned — $4 per 1,000. Pay-per-event, charged on the member-scraped event. No monthly platform fee from this Actor.

Run	Members	Cost
The prefilled first run (2 chambers × 50, 200-row cap)	100	$0.40
One mid-size chamber, whole directory	1,000	$4.00
Greater Kansas City Chamber, complete	1,858	$7.43
A metro200 category sweep	5,000	$20.00
All 927 chambers, end to end	482,110	~$1,928

Apify's free tier includes $5 of monthly usage credit, which is about 1,250 members before you pay anything.

What is not billed:

• Discovery mode is free. listChambers: true pushes its 927 rows without the charge event. Checking coverage costs nothing.
• Rows removed by your filters are never charged. A categoryContains sweep may walk 200,000 members to return 3,000 — you pay for the 3,000. The search costs the Actor run time and its own bandwidth, not your money.
• Duplicates are never charged twice. Members are deduplicated on the chamber's own memberId before anything is fetched or pushed (measured: 0 duplicates in 14,083 contiguous cards — see below).
• Detail-page fetches are not billed. enrichDetails costs run time only; the price per member is identical on and off.
• Rows are charged as they are pushed (Actor.pushData(items, 'member-scraped')), so if you hit a budget cap you get whole rows and stop — never a half-billed dataset.

maxItems is your cost dial and it is a hard cap. Set it to what you are willing to spend × 250.

---

🚧 Honest limits

• No email addresses. ChamberMaster puts member email behind a JavaScript "Send Email" contact form — there is no mailto: anywhere on these directories. Nobody can scrape an email off the chamber page, us included, and this Actor does not pretend to. What to do instead: every row carries domain (89.0% fill), which is exactly the input our Decision-Maker Email Finder and Local Business Contact Enricher take. Chamber list → domains → decision-maker emails is a two-Actor pipeline.
• No contact-person names. Some detail pages list a staff rep. We deliberately do not collect people data — this Actor returns business listings only.
• No "member since" / join date. 74 chambers were checked at random across both page templates: zero publish it. Rather than ship a column that is always empty, there isn't one.
• Every optional field is chamber-dependent, so a single sample under- or over-sells it. Measured spreads: fax 4.0% on the 200-row / 8-chamber sample but 52% and 70% on the two chambers in the shipped prefill; address2 1.0–2.5%; description 58.5–73.0% on the wide samples but 26–28% on those same prefill chambers; membershipLevel 87.5% / 77.5% / 0%. A chamber either publishes a given field for everyone or for nobody. Read the fill line your own run prints rather than planning against these numbers.
• description is truncated by the chamber, not by us. Long blurbs arrive ending in "… read more" because that is literally what the page renders.
• A chamber's members are not all in one town. Big-city chambers carry out-of-state corporate members. Use states / cities for tight geography, and accept that a member with no published state (1.6–4.0% of rows across the measured samples) is dropped by that filter.
• state is whatever the member typed, not a validated code. Measured on the 200-row sample: ~3% of rows carry a full name ("Illinois", "Texas"), a dotted province ("B.C."), a country ("United States") or a stray postal code instead of a 2-letter code. The Actor maps every full state and province name in the dropdown back to its code before filtering, so those rows are kept — but a row whose state field holds a country or a postal code cannot be matched by any state filter and will be dropped by it.
• The bundled 927 is a harvest, not a registry. The host list came from the Common Crawl URL index, so a live ChamberMaster chamber that Common Crawl never indexed is missing from it — the Greater Kansas City Chamber, which this Actor ships prefilled and which returns 1,858 members, is itself not one of the 927 and will not show up in discovery mode. Paste any host you like; the bundled list is a convenience, not a boundary.
• The same business can legitimately appear under two chambers. Measured on 8 complete directories: 145 of 13,797 distinct business names (1.05%) appear in more than one, and they are overwhelmingly national brands with genuinely separate local branches — Costco Wholesale in 5 of the 8, Renewal by Andersen in 5, Salvation Army, Better Business Bureau, Express Employment Professionals, T-Mobile, Bank of America in 3–4 each. Rows are unique per chamberHost + memberId, which is the correct behaviour: those are different locations. Dedupe on domain if you want one row per brand.
• Coverage is what ChamberMaster hosts, not every chamber in America. Chambers that run their directory on a different platform, or on their own CMS, are not here. That is a platform boundary, not a scraping failure — and it is why discovery mode is free.
• The 482,110 figure is a 2026-08-12 census, not a live counter. Directories drift a few members a day (Memphis: 1,537 → 1,541 in 24 hours). Runs always read the live page.

---

🔧 How it works

• One request per chamber. GET /list/search?q=&c=&sa=true returns the entire directory in a single server-rendered response — no JavaScript, no login, no API key, no pagination to get wrong. Kansas City's 1,858 members arrive in one 3.2 MB page; the largest response measured was 18.6 MB.
• Completeness is cross-checked, not assumed. The single sweep was verified against an independent axis: walking /list/searchalpha/a … /z on the Greater Charlottetown Area Chamber returned 962 unique members, and the one-shot sweep returned 962 — zero missing, zero duplicates. If a chamber ever reports more results than it renders, the Actor automatically falls back to that a–z walk and unions the pages, asserting IDs stay unique as they merge.
• Both ChamberMaster skins are parsed. The platform ships a modern card layout (div.gz-results-card, 751 of the 927 hosts) and a legacy listing layout (div.mn-listing, the other 176). Both are read into one output shape with nullable fields — never two schemas in one dataset.
• Detail pages are fetched in parallel and merged onto the listing row. A listing value always wins; the detail page only fills gaps. Categories exist nowhere else.
• Filters are pushed as early as they can be trusted. A row the listing page already disqualifies on state or city is dropped before its detail page is ever fetched, so a narrow geographic filter costs the site fewer requests. A row with a null state survives to be judged after enrichment, so filtering never silently loses a row the detail page would have saved.

Transport ladder — measured, and the reason the proxy default is "off"

All of it measured against the live site, no home-broadband result presented as a shippable rung:

Rung	Result
Direct, no proxy — first full sweep	1,033 / 1,034 hosts answered HTTP 200 (one refused to connect at all)
Direct, no proxy — same-day 150-host re-check	150 / 150 answered HTTP 200 with a populated directory
Direct, no proxy — same-day whole-corpus re-fetch	927 / 927 hosts answered HTTP 200, 927/927 yielded the chamber's name
Apify datacenter proxy	1,536 / 1,537 requests succeeded — 99.9%
Apify residential proxy	Not needed. There is nothing to defeat.

ChamberMaster serves plain server-rendered HTML with no anti-bot challenge, no CAPTCHA and no rate limiting observed across the whole 927-host sweep. That is why proxyConfiguration is off by default: proxying a clean host only adds a way to fail, and it saves you the proxy cost. The field is left available if you need a fixed egress IP for your own reasons.

Uniqueness and dedupe — measured on contiguous full-directory walks

Not sampled offsets: eight complete directories, every card on the page.

Chamber	Cards rendered	Unique memberId	Duplicates
Greater Kansas City	1,858	1,858	0
Greater Memphis	1,541	1,541	0
Greater Charlottetown Area	962	962	0
Manatee	2,021	2,021	0
Oak Park–River Forest	2,156	2,156	0
Lubbock	1,946	1,946	0
Halifax	1,999	1,999	0
Bryan–College Station	1,600	1,600	0
Total	14,083	14,083	0 (0.000%)

Deduplication happens on the chamber's own memberId in a map built as the page is parsed — before any detail page is fetched and before anything is pushed. The dataset, and your bill, can never hold the same member of the same chamber twice. Across chambers, 1.05% of distinct business names recur, for the honest reason described in Honest limits.

Across runs, there is no automatic memory: a second run of the same input returns the same members again. Use different chamberHosts, or diff on chamberHost + memberId after export.

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🛑 When a run fails

The Actor is built to fail loudly rather than hand you a green run with an empty dataset.

• Zero rows throws. The error names how many hosts were queued, how many were unreachable or empty, and points at the likely cause (over-narrow filters, a mistyped host, or a changed endpoint).
• A bad host is reported, not silently skipped into nothing. A host that 404s or refuses is logged by name with the reason; the run continues on the rest, and the final count tells you how many hosts were dead.
• A chamber that renders zero members is called out — "chamber may have migrated or emptied its list" — because that is a real state for 48 of the 1,034 candidates we tested.
• An under-reported directory triggers the a–z fallback rather than shipping a partial roster, and the merged ID count is logged.
• Every run prints its own field fill, so a degraded parse is visible in the log rather than discovered in your CRM.
• There is no legitimate zero-row success. If you get rows, they are real; if you get none, the run is red.

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👤 Who buys this

Merchant services and payments reps

Chamber members are card-accepting local businesses with a published phone at 94–96.7% fill. category tells you which ones are restaurants and retail — the highest-volume merchant categories — before you dial.

Commercial insurance brokers and agencies

Set categoryContains to ["contractor", "roofing", "trucking", "restaurant"] across metro200 and you have a book to quote, with the address you need for a rating territory. Chamber membership itself is a proxy for a business established enough to carry real premium.

Payroll, PEO and benefits brokers

Chamber members cluster in the 5–200 employee band that PEOs sell into. membershipLevel (where published) separates the Gold-tier businesses paying serious dues from the basic-tier sole traders.

MSPs and IT providers

Filter to professional services — ["accountant", "law", "insurance", "medical", "engineering"] — in one metro. domain at 89.0% fill is your input for a tech-stack lookup before the first call.

Web and marketing agencies

The 11.0–13.7% of chamber members with no website at all are the entire pitch: an established, dues-paying business that is invisible online. Run with withWebsiteOnly: false and filter the export to website == null.

Lead-gen agencies and data resellers

927 chambers × a filterable category and geography axis is a repeatable product: one geo-targeted SMB list per client, priced at $4 per 1,000 rows in, and domain as the join key into your enrichment stack.

Economic-development and market research

categories[] across a whole chamber is a census of a local economy by sector. Two runs six months apart show you what a metro gained and lost.

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🔌 Integrations

The dataset is a normal Apify dataset, so everything that speaks Apify speaks to this Actor.

• Google Sheets / Excel — Dataset tab → Export → CSV/XLSX, or point Sheets at the dataset's CSV URL for a self-refreshing tab.
• Make, Zapier, n8n — use the official Apify app/node: Run Actor → Get dataset items. A "chamber members → HubSpot company records" scenario is about four steps.
• HubSpot / Salesforce / Pipedrive — map name → company, domain → domain (the deduplication key both CRMs use), phone, address, category → industry, chamber → lead source.
• Postgres / BigQuery / Snowflake — pull https://api.apify.com/v2/datasets/<datasetId>/items?format=csv and COPY it. chamberHost + memberId is a natural primary key.
• Power BI / Tableau / Looker Studio — connect to the same CSV endpoint; state, city and category are ready-made dimensions.
• Webhooks — attach an Apify webhook on ACTOR.RUN.SUCCEEDED to POST the dataset ID to your own service.
• Schedules — run Recipe 2 weekly and diff memberId for a new-member feed.

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🆚 How this differs from our other Actors

Actor	What it is	Why you would use it instead
Chamber of Commerce Member Directory Scraper (this one)	927 chambers of commerce on *.chambermaster.com, many chambers per run, category + website enriched from each member's detail page	You want every local business in a metro or a state, filtered by category
GrowthZone Directory Scraper	Trade associations on *.growthzoneapp.com, one directory per run, walked via the 26 alpha-index pages	You want to watch one association and be alerted on new joiners (Slack / webhook / email)
Decision-Maker Email Finder	Takes a domain, returns named decision-makers and their email addresses	You have this Actor's domain column and now need someone to email
Local Business Contact Enricher	Takes a business website, returns name, role and contact details from it	You want contact detail added to a chamber list without leaving Apify
BBB Scraper	Better Business Bureau profiles — accreditation, ratings, phones	You want an accreditation and complaint signal rather than chamber membership
BuildZoom Scraper · Houzz Pro Scraper · California Contractor License Scraper	Contractor-specific leads, licences, bonds and permits	Your ICP is construction trades specifically, and you want licence data a chamber never publishes

Rule of thumb: want every business in a metro? this one. Want to watch one association for new joiners? GrowthZone. Want an email address? run this one, then the Decision-Maker Email Finder on the domain column.

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⚖️ Comparison with the alternatives

	This Actor	Copy-pasting the directory	Your own scraper	A bought SMB list
Setup	Click Try for free, press Start	—	A day, plus two page templates to handle	Sales call
Chambers covered	927 bundled + any host you paste	One at a time	Whatever you code	Unknown provenance
Business category	96–97%	Only by opening every member page	Only if you fetch detail pages too	Usually a coarse SIC/NAICS guess
Freshness	Live page, every run	Live but slow	Live	Months old
Cost per 1,000	$4	Hours of somebody's time	Your time + maintenance	Often $100+
Maintenance	Ours	—	Yours, on two skins	—
Coverage check before paying	Free (listChambers)	—	—	No

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❓ FAQ

What exactly is one row? One chamber member business, with the chamber it belongs to. 100 rows = 100 businesses = $0.40.

Does this need an account, a login or an API key? No. ChamberMaster member directories are public server-rendered pages. The Actor logs into nothing and collects no data behind any authentication.

Do I need a proxy? No, and it is off by default. Measured: 1,033/1,034 hosts answered on a direct connection, 927/927 on a same-day whole-corpus re-fetch, and 1,536/1,537 requests succeeded through Apify's datacenter proxy (99.9%). There is no anti-bot to defeat here.

How do I find my chamber's host? Open your chamber's Member Directory. If the address bar shows something.chambermaster.com, something is the host. Paste something, something.chambermaster.com or the whole URL — all three work. Or just run discovery mode (free) and search the list.

Can I scrape a chamber that isn't in your 927? Yes. Put its host or URL in chamberHosts. The bundled 927 are the ones verified live on 2026-08-12; any ChamberMaster host works.

Is my chamber covered? Can I check before I pay? Yes — that is what discovery mode is for. {"listChambers": true} returns all 927 with names, hosts and member counts in under 5 seconds, and the run records zero charged events.

Do I get email addresses? No. ChamberMaster hides member email behind a JavaScript contact form; there is no mailto: to scrape and nobody can get one from these pages. Use the domain column (89.0% fill) with our Decision-Maker Email Finder, or any email-finder you already pay for.

Can I get the whole catalogue in one run? Yes: {"hostPreset": "all", "maxItems": 482110}. That is every member of all 927 chambers, about $1,928, and a long run. Most people take one state or one metro instead. (maxItems has a minimum of 1, so there is no "unlimited" value — you always state your ceiling.)

Do I get charged for rows my filters throw away? No. You are billed per row returned, on the member-scraped event. A category sweep may read 200,000 members to give you 3,000 — you pay for 3,000.

Two runs — will I get duplicates? Within a run, no: 0 duplicates across 14,083 contiguous cards from 8 complete directories, deduplicated on memberId before anything is fetched. Across runs there is no memory, so re-running the same input returns the same members. Diff on chamberHost + memberId.

Why is my run slow? Two deliberate reasons. A chamber publishes its entire directory in one page (the largest measured is 18.6 MB) because that is what guarantees every member and no duplicates. And each member's detail page is what fills category and website. A 1,000-row enriched run across 40 chambers measured about 7 minutes; a 200-row run across 8 large chambers measured 5 minutes 11 seconds. enrichDetails: false roughly halves it.

Does turning off detail pages make it cheaper? No — the price per member is identical. It only trades run time for the category and website columns.

Can I filter to one city? Yes, cities takes exact city names as the chamber publishes them (case-insensitive). Remember a chamber's members are not all in its own city, so this is genuinely useful.

Can I monitor a chamber for new members? Attach an Apify Schedule and diff memberId between runs. For built-in new-joiner alerting on a single association, use our GrowthZone Directory Scraper.

Will a run ever succeed with zero rows? No. Zero rows throws an error that names the scope and the dead-host count. A green run always means real rows.

Something looks wrong — how do I debug it? Read the run log first: it lists every host, its live member count, how many detail pages were fetched, how many rows were kept, and the measured field fill. That is usually enough to tell an over-narrow filter from a site change. If it is a site change, open an issue.

Is the data US-only? No. The corpus includes Canadian chambers and boards of trade (Halifax, Surrey & White Rock, Charlottetown and others), so state carries provinces and zip carries Canadian postal codes.

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⚖️ Legal and fair use

This Actor reads public business listings — company name, business category, business phone, website and business address that chambers publish specifically so the public can find their members. It does not log in, it does not solve CAPTCHAs, and it collects no contact-person names and no email addresses.

Two things to know and judge for yourself:

1. chambermaster.com publishes a robots.txt that disallows crawling. There is no technical block — this is a terms-of-service question, and it is yours to weigh.
2. However you obtain business data, you remain responsible for complying with marketing and anti-spam law — CAN-SPAM, CASL, TCPA, GDPR, PECR — when you contact anyone on the list. Review the individual chamber's terms before commercial use.

Rows describe businesses, but a sole trader's business phone or address can also be personal data in some jurisdictions; treat the output accordingly.

ChamberMaster® and GrowthZone® are trademarks of their owner. This Actor is not affiliated with, endorsed by, or sponsored by them or by any chamber of commerce.

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📝 Changelog

Date	Change
2026-08-13	Free discovery mode (listChambers); every one of the 927 chambers' own names measured and shipped inside the Actor; chamberPicker dropdown of the 200 largest chambers by name; states converted to a 65-entry dropdown; recordType added to every row; input schema grouped into five sections. Field fill, duplicate rate and the transport ladder re-measured. The states filter now maps full state and province names ("Illinois", "British Columbia") back to their code, so the ~3% of rows that publish a name instead of a code are no longer silently dropped. Last verified against the live site: 2026-08-13.
2026-08-12	First release. 1,034 candidate hosts fetched, 927 verified live, 482,110 members counted; a–z completeness cross-check; both ChamberMaster skins parsed.

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💬 Support

Missing a chamber, want a filter that isn't here, or found a field that should be? Open an issue on the Issues tab — it gets read, and the host list gets re-verified.

If this saved you an afternoon of copy-pasting, a 5-star rating helps other people find it.

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