🧾 Xero Advisor Directory Scraper

Get every Xero-certified accounting and bookkeeping firm from Xero's official advisor directory: more than 17,000 firms in 86 countries. Each firm comes with its Xero partner tier, the year it became a partner, phone, website, every office with its address and coordinates, specialist badges, certifications, professional bodies, and social links. Turn on email finding to add the public emails from each firm's own website. No login, no account.

Built for B2B sales, partnerships, and market research teams that sell to accountants and bookkeepers.

🎯 Who uses it?

🤝 SaaS and fintech sales teams

Build account lists of firms that already run a cloud accounting stack: payroll, expenses, lending, practice management, AP and AR tools. The partner tier is a ready-made size signal.

🔌 App partners and integrators

Find the firms that recommend apps to their clients, by country, region, industry served, and specialty.

🏢 Recruiting, M&A, and roll-ups

Source practices by market, tier, office count, team size, and how long they have been Xero partners.

📊 Market research

Map the Xero partner ecosystem by country, region, tier, and specialty, and track it over time with alerts.

✨ What it does

• The whole directory: every firm in all 86 countries, including firms that list no office address, which are placed by their phone code and website instead of being missed.
• Complete results: big searches are split automatically, so you get every match and not just the first 5,000.
• 13 filters: country, city, state or postcode, distance around a city, keywords, partner tier, industries served, specialist badges, certifications, professional bodies, partner-since year range, minimum offices, minimum team size, and must-have contact details.
• Emails from the firm's own site: only addresses on the firm's own domain (or its personal mailbox), each marked as a role mailbox or a named person, with a check that the domain receives mail.
• One row per firm or one row per office, for territory planning and field sales.
• Alerts: schedule the same search and each run returns only new firms, or also tier upgrades and downgrades, offices opened or closed, team changes, and firms that left the directory.

Missing source values are returned as null, never invented.

Why this scraper

• All 86 countries, not a short list.
• Nobody is missed: firms without an office address are placed by country too, instead of disappearing from country searches.
• Filters the others skip: specialist badges, certifications, professional bodies, partner-since years, office count, team size, and distance around a city.
• Clean emails: addresses that belong to someone else (a web agency, another brand) are left out, so outreach reaches the firm.
• Alerts that say what changed: a tier upgrade comes with the tier before, and firms that left the directory are reported too. A firm leaving Xero is a strong signal for competing platforms.
• Phones ready to dial, in international format, and every office's phone and address.

How it compares

Capability	This actor	Other Xero advisor scrapers
Firm name, tier, phone, website, address	yes	yes
All 86 countries	yes	25
Firms without an office address placed by country	yes	no
Badge, certification, and professional body filters	yes	no
Partner-since year, office count, and team size filters	yes	no
Distance around a city	yes	no
Only emails on the firm's own domain	yes	no
One row per office	yes	no
Alerts for tier changes, offices, and firms leaving	yes	new firms only

📦 What data you get

Entity	Useful fields
Firm	ID, name, description, Xero partner tier, partner-since year, office count, team size, industries served, specialist badges, certifications, and professional bodies.
Location	Country (and every country with an office), state or region, city, postcode, street, coordinates, distance from your point, and every office with its own address and phone.
Contact	Phone in international format, all phones, email and all emails found, email type, whether the email domain receives mail, website, and domain.
Online	Xero profile link, LinkedIn, Facebook, X, video, and logo.
Team	Team members with name, job title, and short bio (optional).
Alerts	What changed since the last run and the tier before.

Every record includes scraped_at (UTC). Download your dataset from Apify as CSV, JSON, Excel, or XML.

💡 Use cases

🤝 Platinum and Gold firms in Texas with a phone and website

{ "countries": ["US"], "locations": ["Texas"], "tiers": ["PLATINUM", "GOLD"], "mustHave": ["phone", "website"] }

📧 UK payroll specialists with an email, for outreach

{ "countries": ["GB"], "specialties": ["Payroll specialist"], "findEmails": true, "mustHave": ["email"] }

🏗️ Australian firms serving construction, within 25 km of Sydney

{ "countries": ["AU"], "industries": ["Construction and trades"], "nearCity": "Sydney", "radiusKm": "25" }

🏢 Multi-office practices for M&A sourcing, one row per office

{ "countries": ["NZ"], "minOffices": 3, "outputMode": "office" }

🆕 New Xero partners since 2025, with AICPA members

{ "countries": ["US"], "partnerSinceFrom": 2025, "professionalBodies": ["American Institute of CPAs"] }

🔔 Weekly alerts on new firms and tier changes in Ireland

{ "countries": ["IE"], "alertMode": "changes" }

⚙️ How the input is organised

Maximum firms sits at the very top. It is 10 (prefilled) so a first run is a quick sample; clear it to collect every match. Below it, the form is split into five numbered sections:

Section	What it's for
1 · Where	Countries, cities, states or postcodes, and distance around a city.
2 · Which firms	Keywords, partner tiers, industries served, badges, and professional bodies.
3 · Size and experience	Partner-since years, minimum offices, and minimum team size.
4 · Contact details	Must-have details, email finding, and team members.
5 · Output and alerts	One row per firm or per office, and alerts.

Apify Free plan: every run is limited to a fixed 10-row sample. Upgrade your Apify plan to run your own settings.

❓ FAQ

How is a firm without an office address placed in a country? About one firm in six lists no physical office. Its country comes from its phone code (for +1 numbers, from the area code, so the United States, Canada, and the Caribbean are told apart) or, failing that, from its web domain. Those rows have country_from_contact set to true.

Where do the emails come from? The directory itself rarely lists an email. With email finding on, each firm's own website is read (home page, then its contact page) for public addresses. Only addresses on the firm's own domain, or a personal mailbox such as Gmail, are kept. Each is marked as a role mailbox (info@, hello@) or a named person, and the domain is checked for mail servers.

What does one row per office mean? Each office becomes its own row with its own address and phone, and the firm's details repeated. A firm is still charged once, however many offices it has.

How do alerts work? The first run of a search returns its matches and remembers every firm with its tier, offices, and team size. Each later run of the exact same search returns only new firms, or also firms whose tier, offices, or team changed, and firms that left the directory.

Why do some columns only appear sometimes? Columns that belong to an option (emails, team members, one row per office, distance, alerts) appear only when that option is on, so no column is empty on every row. The dataset has a ready view for each: Emails, Offices, Alerts, and Team.

How fast is it? About 1,000 firms in around 15 seconds, and the whole directory in about two minutes. Email finding reads each firm's website, so it adds time.

🛡️ Limits & responsible use

This Actor reads only Xero's public advisor directory and, when asked, the public pages of each firm's own website. It never signs in and never contacts firms.

Firm details are business information. Team members are included only when you ask for them, with the name, job title, and bio the firm published on its own listing. Use the data for relevant business purposes and respect applicable privacy and anti-spam rules when you reach out.

📧 Contact

Need a scraper for a different site, or found something wrong with this one? norm.data.scrapers@gmail.com

Local development

bun install
bun test
bun run src/main.ts