Extract 50,912 rows from website table (table displays 25 rows per page, split into 2,037 pages)
- Estado: Closed
- Prêmio: $50
- Inscrições Recebidas: 8
- Vencedor: Krish1019
Síntese do concurso
Winner will be the first person to upload a screenshot showing the bottom row of the extracted data, along with the relevant columns of data, (example image attached).
Have made this a contest rather than a project because someone with the technical knowledge may be able to extract the following data very quickly if they have a system that can run through 2,037 pages very quickly. If this contest is unsuccessful, I will make it a project, where someone may have to do the extraction manually.
I have found a website table has 50,912 results, but the results are split into about 2,037 pages because there is a limit of 25 being shown per page.
The starting page is here - [login to view URL]
The ending page is here - [login to view URL]
Navigating between pages simply changes offset= in the url.
You can either manually or programatically go through each page and extract the content from the table.
The 7 columns along with their 50,912 rows/results of data needs to be displayed within an excel file.
The column headers are as follows - CUS, CN code, CAS RN, EC number, UN number, Nomen, Name.
Simply put, I want the whole table displayed within one table/sheet, for use in excel.
I can do it myself, but would have to manually copy and paste each pages data.
I am creating this project because someone may have expertise in a simple data crawler/miner/extraction software that can run through the 2,037 pages very quickly.
If there are no entrants within the 3 days, I will instead make this a project for someone. But I'm hoping someone can compile the data very quickly within this contest.
Along with description & url links here, I have also attached some Images which show the website, what to query & what is shown. I have highlighted the table which displays the column names followed by the results.
Be careful of the CAS number data...they can automatically convert to dates, they are the ones which look like 1115-69-1 , 5417-52-7.
Feedback do Empregador
“Did exactly what was required without me needing to explain for a second time. A technical wizard in regards to data extraction, will hire again in the future for more extraction tasks. Thanks.”
efficienttrade, New Zealand.