Unique ID: 2015103
| Division: | Office of Information and Regulatory Affairs |
|---|---|
| Issue Date: | February 13th 2019 |
| Last modified: | February 22nd 2019 |
Cost: FREE
Web Scrape and Application Program Interface (API): exploring webscraping on price data
Exploring webscraping on price data
Statistical Area
Project Sources
| Type Of Institution: | National statistical office |
|---|---|
| Big Data Source: | Web scraping data |
| Region: | North America |
| Country Area: | United States |
| Id Country Regional: | country |
Partnerships
| Other Partners: | Other |
|---|
Accessing Data
| Data Access Rights: | Broader access rights |
|---|
Data Coverage
| Data Coverage: | Other |
|---|---|
| Cost Implication: | Free |
| Cost Comments: | The net cost implication is undetermined. There is potential for reduction of collection costs, however development and maintenance costs exist. |
| Coverage Geo Comments: | Varies depending on the source. |
| Coverage Period: | Beginning in 2011 |
Project Details
| Frequency Comments: | Varies depending on the source. |
|---|
Data Quality
| Quality Framework: | Quality of output statistics |
|---|---|
| Quality Aspects Evaluated: | Privacy and Security, Completeness, Usability, Time Factors, Accessibility, Relevance, Validity, Accuracy, including selectivity |
| Validation Comments: | Validate using a variety of result comparisons and statistical techniques. |
| Data Quality Concerns Comments: | U.S. Bureau of Labor Statistics assesses the quality of all its data sources. |
Methodology
| Methods Used: | Traditional statistical methods |
|---|
Technologies
| Technologies: | Spreadsheet, Other |
|---|---|
| Technologies Comments: | Programming using Python and SAS |
Other
| Income Level: | High-income |
|---|---|
| Iso: | US |
| Timeframe To Produce Indicator: | NA |
| Frequency Comments: | Varies depending on the source. |
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