0151 353 3500   |   hello@barbour-abi.com

API Fundamentals

Last reviewed: 03/08/23

Barbour ABI data is about construction projects. These are described and continually updated by a team of in-house Barbour ABI researchers, who track the projects and the companies and people working on them, from initial design and planning stages through to construction completion.

Customers subscribe to Barbour ABI to gain access to a defined set of projects by specifying various criteria, such as project value, location, classification, materials, etc.

Customers access the construction projects using a range of data delivery products, including web and mobile apps, and this API.

Key Terminology

Customers use Barbour ABI APIs to:

The Barbour ABI dataset is structured into the following main objects:

  1. Project
  2. Company
  3. Person

To explain the relationships between these objects:

  • A company is related to a project by the role the company plays on the project. For example the company *ABC Ltd* is the *Architect* (role) for the project *Supermarket A*.
  • A company can have many people. For example, *John Black* and *Alison White* work for company *ABC Ltd*
  • A specific person is responsible for a role on a project. For example, *Alison White*, who works for *ABC Ltd*, is the *Architect* working on *Supermarket A*.

Common use cases

Customers use Barbour ABI data to:

  1. Find sales opportunities: search for relevant projects near me
  2. Competitor analysis: identify projects that a competitor has won
  3. Marketing data sets: extract a set of data for mailing
  4. Analysis: compare project or company activity in different geographical areas

Data updates

The Barbour ABI research team are based in the UK, so the majority of updates occur during UK business hours. We encourage developers to build systems that continually use these APIs to ensure the latest updates are seen to users, rather than build daily batch processes. The APIs and repositories are hosted on a load balanced environment so resilience and uptime are high.

Some updates are done outside UK business hours, so please ensure this is considered in designing a batch processing system.

HTTP status codes

Success

All successful API calls will respond with a standard 2xx status code. These responses will not have a message body, unless a GET request.

Typical responses and examples for PUT/POST requests, using by advanced API consumers are:

Status code Description
200 OK Changing the property of an object, for example favouriting a project or marking a project as read.
201 Created Creating a new resource, for example creating a team, creating a user and creating a tag
204 Accepted An attempt to update or create that results in no change. For example, favouriting a project that is already favourited, or creating a team that already exists.
Others

API calls resulting in a client or server error will respond with the appropriate status code along with a supporting message. For example:

				
					{
   "status_code" : 501,
   "message" : "Support to delete teams is not available yet"
}


				
			
Rate limiting

In the future v4 will be released that includes throttling to ensure fair use and the wider user experience is not affected. When this is implemented excessive programatic API calls will result in a 429 Too Many Requests status code.

Entry point

The entry point is:

				
					https://api.barbour-abi.com/v4
				
			

Entry point

To get started, you will need an API key for your Barbour ABI subscription which will be provided by Barbour ABI. There is a single API key for your company subscription so if you have two developers then both developers should use the same API key. You need to include the API key in an ‘x-api-key’ header of every API call you make:

				
					headers:
   x-api-key: {api-key}

				
			

As a developer you will also need either a Developer or a Locations license. You will receive your username and will be invited to set your password in a “Welcome” email.

With these two items you can then generate a token to consume the APIs as follows:

				
					GET login

headers:
   Authorization: Basic {token}
   x-api-key: {api-key}

				
			

{token} is base64 encoded username:password where password is a SHA256 hash.

{token} is base64 encoded username:password where password is a SHA256 hash.
{api-key} is the API key provided by Barbour ABI.

An example, assuming the following:

  • Username: api_user
  • Password: MB_4810
  1. SHA256 hash the password MB_4810 which will be 37596daf86f09dbc748480ef693fb4beb1ff5e406b21a8f671eccb06a0fd6f2d
  2. Append this to the username separated by a colon to produce: api_user:37596daf86f09dbc748480ef693fb4beb1ff5e406b21a8f671eccb06a0fd6f2d
  3. Base64 encode api_user:37596daf86f09dbc748480ef693fb4beb1ff5e406b21a8f671eccb06a0fd6f2d to produce YXBpX3VzZXI6Mzc1OTZkYWY4NmYwOWRiYzc0ODQ4MGVmNjkzZmI0YmViMWZmNWU0MDZiMjFhOGY2NzFlY2NiMDZhMGZkNmYyZA==
  4. Call the login API as follows (example in Curl):
				
					curl --location --request GET '<https://api.barbour-abi.com/v4/login'> \
--header 'Authorization: Basic YXBpX3VzZXI6Mzc1OTZkYWY4NmYwOWRiYzc0ODQ4MGVmNjkzZmI0YmViMWZmNWU0MDZiMjFhOGY2NzFlY2NiMDZhMGZkNmYyZA==' \
--header 'x-api-key: ABI_KEY_PROVIDED_BY_BARBOUR_ABI'

				
			

This will respond with a token in the header, which must be supplied in all other API calls.

The body will contain the unique ID for the user.

				
					{
   "user_id": 1234
}

				
			

The user_id cannot be changed and should not be confused with the username which can be changed.

If a token is not used for 30 days it will become invalid and a new one must be generated as above. Also, on rare occasions tokens will be invalidated sooner, for example with a major production release.

In your production code you should test for an invalid token and re-authenticate as necessary.

Tokens will automatically become invalid if a Barbour ABI subscription lapses.

A valid token must be included in the header of all API calls:

				
					headers:
   Authorization: Bearer {authentication token}
   x-api-key: {api-key}

				
			

Logout

It is not necessary to invalidate a token, but if required it can be explicitly destroyed as follows:

				
					GET /logout
				
			

Provide the token in the header, like all the other API calls.

Customers API

To get details about your company:

				
					GET customers
				
			

returns:

				
					{
"customer_id": "ABC1245",
"company_name": "ABC Limited",
"company_website": "abclimited.co.uk",
"sector_id": 1
}

				
			

Access to the APIs is based on a subscription service with customers having access to the sub-set of Barbour ABI that matches their subscription. To see this profile, in the standard API query syntax:

				
					GET customers/profiles
				
			

The response includes the fields where filtering is applied. For example if your subscription covers all project values, then the key project_value will be omitted.

Lookups API

New lookup ids are introduced rarely, and similarly the text associated with an id rarely changes. Therefore developers should cache local copies of the lookups, perhaps updating their cache every 24 hours or if an unrecognised id is found.
Some of the fields are based on lookups. Lookups can be numeric or strings, for example planning stages and materials respectively. To get the list of lookups:

				
					GET lookups
				
			

The response is as follows:

				
					{
	"lookups": [{
		"planning_stage": [{
				"id": 2,
				"description": "Outline planning"
			},
			{
				"id": 10,
				"description": "Outline approval"
			}
		],
		"materials": [{
				"id": "EC",
				"description": "Envelope",
				"children": [{
						"id": "EC01",
						"description": "Wall Cladding",
						"children": [{
							"id": "EC0102",
							"description": "reinforced concrete"
						}, {
							"id": "EC0103",
							"description": "precast concrete"
						}]
					},
					{
						"id": "EC02",
						"description": "Wall Features"
					}
				]
			},
			{
				"id": "BR",
				"description": "Bridges
			}
		]
	}]
}

				
			

For specific sets of lookups use the lookups parameter as follows:

				
					GET lookups?lookups=planning_stage,material
				
			

For specific lookups use the query parameter. An example to get the lookups for 4 categories:

				
					GET lookups?query={
      "category":
         {"operator": "=",
          "value": [807, 1006, 1312, 2301]
         }
  }

				
			

The response will include the parent categories.

Key terminology

The Barbour ABI dataset is structured into the following main objects:

  1. Project
  2. Company
  3. Person

The relationships between these objects are summarised as follows:

  • A company is related to a project by the role the company plays on the project. For example the company ABC Ltd is the Architect (role) for the project Supermarket A.
  • A company can have many people. For example, John Black and Alison White work for company ABC Ltd
  • A specific person is responsible for a role on a project. For example, Alison White, who works for ABC Ltd, is the Architect working on Supermarket A.

For a more detailed description of these relationships, see the section Project roles

Projects API

Search / project list

The most basic search (using defaults), to get some projects:

				
					GET projects
				
			

This will respond with two components as follows:

				
					{
	"projects": [{
			"project_id": 12328056,
			"project_title": "Liverpool Gin Distillery, Castle Street - Refurbishment",
			"project_site3": "Liverpool",
			"project_value": 1000000
		},
		{
			"project_id": 12261782,
			"project_title": "Cycling Infrastructure Improvements",
			"project_site3": "Warrington",
			"project_value": 7700000
		},
		{
		  ...
		}
	],
	"aggregation": {
		"project_count": 1030
	}
}

				
			

The projects key contains a list of projects and the aggregation key contains the total number of projects available in the complete dataset. For example there could be 20 projects returned, but the count is much higher. See the section Pagination for more information on how to use aggregation to iterate using offsets.

Fields

To specify the project fields returned:

				
					GET projects?fields=project_id,project_title
				
			

A full list of available fields can be obtained using the fields API.

Some fields are sizes or dimensions, such as project_floor_area and project_units. These fields are returned as numeric values to allow sorting and analysis. To understand the units (e.g. square metres and miles) look at the description provided in the fields API.

Wherever possible fields are coded (for example project_planning_stage and project_categories) so are returned as ids. Use the lookups API to get the display text associated with each id.

Some fields can contain multiple values so the values are returned as an array by default. For example:

				
					"project_materials": ["BR0102","BR0105","EC0104"]
				
			

There are hierarchies for some fields which can be obtained from the fields API response. To get fields returned from the projects API in a hierarchy, use the lookup_hierarchy parameter. For example:

				
					GET projects?fields=project_materials&lookup_hierarchy=true
				
			

This will structure the project_materials key as follows:

				
					"project_materials": {
		"BR": [{
			"BR01": ["BR0102", "BR0105"]
		}],
		"EC": [{
			"EC01": ["EC0104"]
		}]
}

				
			

The naming convention for unique object indentifiers is {object_name}_id, for example project_id, company_id and person_id. The unique identifier for roles on a project is rarely required by customers but is available and named role_id. This field should not be confused with role_code which is the role (such as Architect) a company plays on a project.

The following additional fields are derived from other fields so not listed in the fields API:

  • project_build_phase: The phase of the project, one “not_started”, “enabling”, “on_site” or “active_on_site”. If there is no timing information to determine the phase, the string “no_timing” is used.
  • project_site_progression: A site progression indicator from 0 to 100, in increments of 5, returned only when the project is onsite.
Sort

Results can be sorted, for example to sort by project_value (descending), following by the project_id (ascending) use the following:

				
					GET projects?sort=-project_value,project_id
				
			

The plus sign (+) can be used to specify an ascending sort, but is not necessary.

When searching on text fields, the default sort order is the best match. To override this default, specify a sort order.

A maximum of three sort orders can be provided.

Query (filtering)

Filters are applied using the query parameter. The syntax is as follows:

				
					"query"={
  "field":{
    "operator": <sign>,
    "value": <field value>
  },
  ...
}
				
			

The operators are:

Operator Sign
Range ..
Equal =
Not equal !=
Greater than >
Less than <
Greater than or equal =
Less than or equal <=
Is empty 0
Is not empty !0

If the range operator is used, then value1 and value2 keys need to be used in place of the single value key.

Queries can be optionally base64 encoded using the encoded parameter as follows:

				
					GET projects?query={base_64_encoded_query_here}&encoded=true
				
			

The use of this query language is explained next, in the form of examples.

Example 1: Projects with a value greater than £1m with between 10 and 20 units:

				
					GET projects?query={
  "project_value":{
    "operator": ">",
    "value": 150000
  },
  "project_units":{
    "operator": "..",
    "value1": 10,
    "value2": 20
  }
}

				
			

Example 2: Projects within 25 miles of me, without a contractor appointed.

Assuming my location is Tower Bridge (51.5079, 0.0877) and understanding the code for contractor is 40:

				
					GET projects?query={
    "project_latitude": {
        "operator": "=",
        "value": 51.5079
    },
    "project_longitude": {
        "operator": "=",
        "value": 0.0877
    },
    "project_distance": {
        "operator": "=",
        "value": 25
    },
    "project_roles": {
        "operator": "!=",
        "value": 40
    }
}&sort=project_distance

				
			

The units for project_distance is miles.

To get the results sorted by distance, use sort=project_distance. When sorting by distance the project_latitude and project_longitude must be included in the query.

Date filters can be applied based on specific dates or relative dates, as shown in the next two examples.

Example 3: Projects starting on/after 19th April 2019:

				
					GET projects?query={
  "project_start":{
    "operator": ">=",
    "value": "2019-04-19T00:00:00Z"
  }
}

				
			

Example 4: Projects starting within the next 30 days:

				
					GET projects?query={
  "project_start":{
    "operator": "..",
    "value1": 0,
    "value2": 30
  }
}
				
			

Project timings are not usually precise dates so there are three date fields that can be returned using the fields parameter, the earliest possible date, the latest possible date and a displayable version of the date. An example of a project start date:

Field Description Example
project_start_min The earliest possible start date 2019-05-01T00:00:00Z
project_start_max The latest possible start date 2019-05-31T00:00:00Z
project_start A displayable version of the start date May 2019

The API considers non-precise dates as part of the filtering and sorting so the field project_start can be used within the query parameter and sort parameter.

Example 5: Get the latitude and longitude for 3 specific projects:

				
					GET projects?query={
  "project_id":{
    "operator": "=",
    "value": [12388684,12429742,12421574]
  }
}&fields=project_latitude,project_longitude

				
			

Example 5: A generic project text search for “northgate development”:

Support is provided for fuzzy text searches as follows:

				
					GET projects?query={
  "project_text":{
    "operator": "=",
    "value": "northgate development"
  }
}
				
			

Searching the project_text will search the following fields for matches:

  • project_id
  • project_title
  • project_scheme
  • project_status
  • project_site1

If no sort order is specified, the results will be ranked by score with exact matches ranking first. An exact match within a project_title will rank higher than an exact match within a project_scheme.

Note: project_text is not a field, so cannot be returned using the fields parameter.

Example 5: Projects in various postcodes

				
					GET projects?query={
  "project_postcode":{
    "operator": "=",
    "value": ["CH","LL12","LL13","CW6"]
  }
}
				
			

For these filters, the postcodes can be specified as an postcode area (e.g. CH), a postcode district (e.g. CH64), a unit postcode (e.g. CH65 9HQ) or any combination of these.

All or any text search

Searching for multiple strings is achieved using the project_search parameter.

To search for projects with contain the both string “college” and “extension”:

				
					GET projects?query={
  "project_text":{
    "operator": "=",
    "value": ["college", "extension"]
  }
}&project_search=all
				
			

To search for projects which contain either the string “University of Manchester” or “Manchester University”:

				
					GET projects?query={
  "project_text":{
    "operator": "=",
    "value": ["University of Manchester", "Manchester University"]
  }
}&project_search=any
				
			

The project_search parameter is not available for company or people searches.

Aggregations
Group

This is used for simple analytical queries, achieved using the following three parameters:

Field Description
aggregate_group The field to group by
aggregate_field The field the analyze
aggregate_function The function to be applied to the aggregate_field. The function is either 'sum' or 'count'

Example 1: The total number of projects per (primary) sector:

				
					GET projects?aggregate_group=project_primary_sector
	&aggregate_field=project_id
	&aggregate_function=count
				
			

This will include an additional key count_project_id in the response.

Example 2: Total value of projects at each planning stage:

				
					GET projects?aggregate_group=project_primary_sector
	&aggregate_field=project_value
	&aggregate_function=sum
				
			

This will include an additional key sum_project_value in the response.

In summary, when using the aggregation parameters, the additional key in the response will always be named {aggregate_function}_{aggregate_field}

Count

This is a simplified version of the group aggregation, returning a single value.

The most common use of this is to replace the default project count with the sum of the project values as follows:

				
					GET projects?aggregate_field=project_id
	&aggregate_function=count
				
			
Implicit

An aggregated field can be listed in the fields and/or sort parameters, without explicitly using the aggregation parameters. For example a simple API call to get a list of projects with the number of different companies working on each project:

				
					GET projects?fields=project_id,project_title,count_company_id
				
			

The implicit aggregations are particularly useful in the companies API where companies can be sorted by the projects they are working on.

Project details

To get almost all fields for a project:

				
					GET projects/{project_id}
				
			

There are some legacy and uncommon fields which are no included in the above request.

For a limited set of fields or to get the non-default fields, use the fields parameter:

				
					GET projects/{project_id}&fields=project_id,project_title
				
			

Project roles

A project will have one or more companies playing roles (such as architect) on projects. For each of these roles, there can be zero or more people who are the contact. Projects can have a large number of roles, so the roles are grouped for presentation purposes.

In summary the entities are organised as follows:

  • Role Group (e.g. Architects)
    • Role (e.g. Architect)
      • Company (e.g. ABC Architecture Ltd)
        • Person (e.g. John Design)
        • Person (e.g. Alison Height)
      • Company (e.g. Great Designs Ltd)
    • Role (e.g QS)
      • Company (Super Surveying Ltd)
  • Role group (e.g Clients)
    • Etc

The basic API call to get this information is:

				
					GET projects/{project_id}/roles
				
			

This will return the set of roles and the id’s for the associated companies and people, as follows:

				
					{
	"Architects": [{
		"company_id": 401983,
		"role_code": 31
	}, {
		"company_id": 3337535,
		"people": [{
			"person_id": 7294575
		}],
		"role_code": 23
	}],
	"Clients": [{
		"company_id": 412159,
		"role_code": 11
	}]
}
				
			

The ids in this response can be used by the companies API and people API to get details of the companies and people respectively.

Instead of using the companies and people APIs, additional fields (project, company or people) can be retrieved in the response using the fields parameter. This will insert additional fields into the appropriate place within JSON response. For example:

				
					GET projects/{project_id}/roles?fields=company_name
				
			

will return exactly the same as above, but with the company_name added:

				
					{
	"Architects": [{
		"company_id": 401983,
		"company_name": "Arcadis LLP",
		"role_code": 31
	}, {
		"company_id": 3337535,
		"company_name": "NBBJ",
		"people": [{
			"person_id": 7294575
		}],
		"role_code": 23
	}],
	"Clients": [{
		"company_id": 412159,
		"company_name": "University of Oxford",
		"role_code": 11
	}]
}
				
			

Companies API

The same principles described in the projects APIs apply when searching for companies and getting the company details, so the APIs are easy to use once the projects API is understood, for example:

				
					GET companies
GET companies?query={...}&fields=company_id,company_name
GET companies/{company_id}
				
			

The most common use of the companies API is to search for companies by company name. These searches have in-built fuzzy matching. An example:

				
					GET companies?query={
  "company_name":{
    "operator": "=",
    "value": "Transport for London"
  }
}
				
			

If no sort order is specified, the results will be ranked by best match with the exact matches will appearing first, following by increasingly less confident matches.

Searching the company_text will search the following fields for matches

  • company_id
  • company_name

Apart from searching for companies, a common use of this API is to get details for a set of companies based on the payload of a project roles API call. To achieve this, use a combination of the query and fields parameters as follows:

				
					GET companies?query={
  "company_id":{
    "operator": "=",
    "value": [3466500,3470364,3472020]
  }
}&fields=company_id,company_name,company_phone,company_latitide,company_longitude
				
			

##Aggregations

Example 1: Top architects (role 23) based on the value of projects they are working on:

				
					GET companies?query={
  "project_roles":{
    "operator": "=",
    "value": 23
  }
  }&sort=-sum_project_value&fields=company_name,sum_project_value
				
			

Note, the total value can be displayed by requesting sum_project_value using the fields parameter.

If you want to see if any of these projects have estimated values, include any_project_value_estimated in the fields parameter. This boolean key will be true if one or more of the project values are estimated.

Example 2: Top 10 contractors (role 40) currently working on the most projects:

				
					GET companies?query={
  "project_roles":{
    "operator": "=",
    "value": 40
  },
  "project_start":{
    "operator": "<=",
    "value": 0
  },
  "project_finish":{
    "operator": ">=",
    "value": 0
  }
  }&sort=-count_project_id&limit=10
				
			

In this query, “currently working” is achieved by filtering on-site projects, those which started in the past and are due to finish in the future.

Example: 3: Architects working on the most recently updated residential projects

				
					GET companies?query={
  "project_roles":{
    "operator": "=",
    "value": 23
  },
  "project_primary_sector":{
    "operator": "=",
    "value": 100
  }
  }&sort=-max_last_project_published
				
			

People API

This API follows the same principles as projects and companies.

Filtering on people can be achieved by the standard query language, for example:

				
					GET people?query={
  "person_first_name":{
    "operator": "=",
    "value": "John"
  },
  "person_first_name":{
    "operator": "=",
    "value": "Smith"
  }
}
				
			

This will perform exact matches on these fields.

A fuzzy text search field of both person_first_name and person_last_name is also available for contact names, using the person_full_name field as follows:

				
					GET people?query={
  "person_full_name":{
    "operator": "=",
    "value": "John Smith"
  }
}
				
			

Searching the person_text will search the following fields:

  • person_id
  • person_full_name
  • person_email
  • person_phone

Contacts can be suppressed or removed from the Barbour ABI products as part of the Barbour ABI GDPR processes. When this happens, the person and their person_id will no longer be included in any of API response. See https://barbour-abi.com/gdpr for more details.

Fields API

To get a full list of fields available with your subscription:

				
					GET fields
				
			

This responds with a list of fields and properties of these fields. Below is a sample response with limited fields for illustration purposes:

				
					{
	"project": {
		"fields": {
			"project_id": {
			  "display_name": "Project ID",
				"description": "Unique ID for project",
				"can_sort": true,
				"can_display": true,
				"can_export": true
			},
			"project_planning_stage": {
				"description": "Planning stage",
				"lookup": "planning_stage",
				"can_display": true
			}
		}
	},
	"company": {
		"fields": {
			"company_id": {
				"description": "Unique ID for company",
				"can_sort": true,
				"can_display": true
			}
		}
	}
}
				
			

All field can be searched using the query language.

The boolean can_sort indicates if the field can be sorted, using the sort parameter.

The boolean can_display indicates if the fields can be returned, using the fields parameter.

If a property is not return in the response, then it is false.

To get just the project, company or person related fields:

				
					GET fields?object_type=project
GET fields?object_type=company
GET fields?object_type=person

				
			

Pagination

For all search calls, the top n records are returned by default, so to retrieve a larger or complete dataset a series of API calls must be made, using the limit and offset parameters.

For example, to get the first 30 records, in three batches of 10 at a time:

				
					GET projects?limit=10&offset=0
GET projects?limit=10&offset=10
GET projects?limit=10&offset=20
				
			

If not specified, the default values for limit and offset are 50 and 0 respectively.

The maximum value for the limit parameter is 500.

The use of limit and offset allows you to iterate through the first 10000 records, but not beyond. For example a limit of 9995 with an offset of 10 will fail.

To get a larger dataset use the query parameter to reduce the total results. For example, query using the project_last_published date to get the the projects from August 2018, then iterate through these using limit and offset. Then get the the results for July 2019 and iterate through these etc.

For the best user experience, repeated API calls with limit of between 10 and 200 are recommended for performance reasons.

Experimental
Role query prioritisation

Consider the following query:

				
					GET projects?query={
    "project_geocode": {
        "operator": "=",
        "value": "ENCH"
    },
    "project_roles": {
        "operator": "=",
        "value": 23
    },
    "company_geocode": {
        "operator": "=",
        "value": "WS"
    }}
				
			

The expected results would be projects:

  • In Cheshire (geocode ENCH)
  • With an Architect (role 23)
  • With at least one company working in Wales (geocode WS)

However, consumers are typically interested in how the role is associated with the project, company or person. To achieve this, if the API query includes a role filter, the role filter will be associated with people fields first, followed by companies and finally projects. The resulting behaviour is therefore as follows:

Project location Role Company location Person name Actual result
Cheshire Architect     Projects in Cheshire with an architect
Cheshire Architect Wales   Projects in Cheshire with an architect in Wales
Cheshire Architect Wales Giles Projects in Cheshire with an architect in Wales and a contact of that company working in Wales is Giles
Cheshire Architect   Giles Projects in Cheshire with a contact called Giles working as the architect
  Architect Wales   Projects with an Architect in Wales

Any questions?

For support using the Barbour ABI APIs, please sign into the Barbour ABI platform and use the “Chat with us” functionality in the bottom left of the Web platform.

Request a callback

Just fill in your details below and a member of our team will give you a call.

Claim your 10 free project leads today

Book a Demo

Helping Contractors

Win More Business

Get in touch with us and see how we can help you win more work.

FIND YOUR

10 FREE

PROJECT LEADS TODAY

Barbour ABI White Logo

Place of registration: Barbour ABI Limited Company number: 13427982, Registered office: 5th Floor, 133 Houndsditch, London, EC3A 7BX