Technographics dataset

This technographics dataset offers a complete over of the technology stacks used by businesses, sourced from job postings. With 40 million records, it reveals the tools and software companies rely on, helping businesses identify tech trends and target potential customers effectively.

5,532,556

companies

21,008

technologies

Dataset

The technographics dataset has 3 files: technologies, companies and technograhics

company_idtechnology_idcompany_nameconfidencefirst_date_foundlast_date_foundjobsjobs_last_7_daysjobs_last_30_daysjobs_last_180_daysfirst_date_found_source_job_descriptionlast_date_found_source_job_descriptiontechnology_ranktechnology_rank_180_daysrank_1_tierank_180_days_tierelative_occurrence_within_categoryjobs_source_final_urlfirst_date_found_source_final_urllast_date_found_source_final_url
53c6f3cca240d98b5e648d93115a24267DHLlow2024-03-122024-08-0620012024-03-122024-08-0673470.000134471860
f47c9278b0c8153c90eb7e73791083bf7Foreign & Commonwealth Officelow2024-04-242024-04-2410002024-04-242024-04-2436180.000225275960
170b1d363bd8516fbf3a3eb05d4faff68Netflixhigh2023-10-232024-11-25201192023-10-232024-11-2511ff0.68965520
530f21a73dc969866c85ce264a794ecd8Orbo.aimedium2023-08-072023-09-1520002023-08-072023-09-1511tt0.50
d7a9a3e2a98999afaa77e649831650588TikTokmedium1995-02-012024-10-252700151995-02-012024-10-2522ff0.415384620
f1c768f1973bd404670d81a991ee61058Walmartlow2022-05-182024-05-0750002022-05-182024-05-0734ff0.08771930
03130557704ceb4addfa9b1718b232f58Wattpadlow2024-03-282024-03-2810002024-03-282024-03-2821ft0.20
110d0ce0f5db00524a5e4a908709ff998Envatolow2020-12-102021-12-2420002020-12-102021-12-2411tt0.40
cdd16461ab27f5bce52a8d94f86322928Harvard Universitylow2024-08-302024-08-3010012024-08-302024-08-3043ff0.0454545470
de9402e6c300b9f0f44bc9166a4604fa12Squarespacehigh2021-02-182024-11-09300172021-02-182024-11-0911ff0.96774190
3020e9df8fc8326d436b2680259c123b13Ajax Systemslow2024-07-262024-07-2610012024-07-262024-07-2624140.00107181130
776828efa2737f017d05c533df1f804117Canvahigh2019-05-022023-10-10460002019-05-022023-10-1012ft0.304635760
965b11a46418878a13732a04b3db07b317Nikehigh2022-03-052024-11-2272011382022-03-052024-11-2211ff0.378947380
af572ffffaa5a75e0c1ac3d1772ab4e217McGraw Hillhigh2021-12-162024-11-20290362021-12-162024-11-2012ff0.263636350
d7ed4ee1df437474d005188535f7487517Zerohigh2022-08-122024-10-24110012022-08-122024-10-2411ft0.523809550
65d6b2613559085ad3f5303cc65df6ad17IKEAhigh2022-04-022024-11-2418012332022-04-022024-11-2412ff0.403587430
64a171643c0344a180ec3242d0b614f917Aberdeen Appointments Agencymedium2022-09-262022-09-2610002022-09-262022-09-2611ff10
a771a5a37055ebcd81f69ccb77ac9a9b17ADPmedium2022-01-232024-11-0180152022-01-232024-11-0143ff0.137931030
954e94d05347171a11f0341c6860345617Advance Marketingmedium2023-08-232024-05-2950002023-08-232024-05-2911tt0.333333340

Dictionary

Column nameData typeDescription
company_id
str
ID of the company, meant to be used only as a join key between the company and the company_technologies datasets. Will change in the future
technology_id
int
ID of the technology
company_name
str
Company name
confidence
str
How confident we are that the company uses this technology
first_date_found
date
Date when the technology was first mentioned by the company in a job post, in the ATS URL or in the job description
last_date_found
date
Date when the technology was last mentioned by the company in a job post, in the ATS URL or in the job description
jobs
int
Number of jobs found mentioning this technology
jobs_last_7_days
int
Number of jobs from the given company mentioning this technology in the last 7 days
jobs_last_30_days
int
Number of jobs from the given company mentioning this technology in the last 30 days
jobs_last_180_days
int
Number of jobs from the given company mentioning this technology in the last 180 days
first_date_found_source_job_description
date
Date when the job description first mentioned the technology
last_date_found_source_job_description
date
Date when the job description last mentioned the technology
technology_rank
float
Rank of the technology within its category based on mentions in job postings
technology_rank_180_days
float
Rank of the technology within its category based on mentions in job postings over the last 180 days
rank_1_tie
bool
Indicates if this technology is tied for the most mentioned in its category
rank_180_days_tie
bool
Indicates if this technology is tied for the most mentioned in its category over the last 180 days
relative_occurrence_within_category
float
Measures the relative occurrence of this technology among other technologies in the same category, in jobs by this company
jobs_source_final_url
int
Number of jobs from the given company mentioning this technology in the ATS URL
first_date_found_source_final_url
date
Date when the job ATS URL first mentioned the technology
last_date_found_source_final_url
date
Date when the job ATS URL last mentioned the technology

Delivery options

The technographics dataset is available in multiple formats and delivery options

MethodsAPI download, Webhook, Amazon S3
FrequencyOnce, Daily, Weekly, Monthly, Quarterly, or Custom basis
FormatJSON, CSV, Parquet

Stadistics

Records in the dataset40M technographics, 21K technologies, 4M companies
Data fields30 fields
Records update last 30 days90%
Sourcejob postings

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Frequently asked questions