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Scrape USDA Database

Scraping USDA 2016 database

Go to [url removed, login to view]

Scrape all the items in the database (77,413 listed):

For each page (1549 listed), grab for each item:

Information from the three columns:

“NDB. No”

“Description”

“Food Group”

From “Description”, extract the UPC code if available (leave it in the Description field too)

Go to the link of the “NDB. No” column and grab information from columns

Column 1: “Nutrient”

Column 2: “Unit”

Column 3: “Value per 100g”

Export into Excel file with

1 row per item

Columns: NDB. No, Description, Food group, UPC, and nutrition information

Note: “nutrition information” does not have a consistent format. Some items give “energy, proteins, total lipid, carbohydrates, sodium”, some give “energy, proteins, total lipid, carbohydrates, fibers, sugar, calcium, iron”, and some other might give other nutrients. Make sure to keep similar nutrients in the same column and add a column for every new nutrient found.

In the output file, similar nutrients should be put in corresponding columns. If an item does not contain information on a nutrient, the cell should be left blank (do not put a zero).

Fähigkeiten: Web Scraping

Mehr sehen: format handwritten note, database custormers inexcel format, database urls standard format, turbolister database file format, scanned note word format

Über den Arbeitgeber:
( 2 Bewertungen ) Boston, United States

Projekt-ID: #11790622

29 Freelancer bietetn im Durchschnitt $141 für diesen Job an

jeweljitu

"Dear Employer, I need to discuss with you more about the project?. I am a highly trained Data Entry, Research, Web search, Web scrape, Product Add Any Type Of eCommerce Cart, Expert with great knowledge of Excel and Mehr

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(480 Bewertungen)
8.1
$150 USD in 2 Tagen
(89 Bewertungen)
7.5
lafor

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7.7
$100 USD in 3 Tagen
(170 Bewertungen)
7.1
mantislin

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(117 Bewertungen)
6.7
PigtailXL

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$122 USD in 3 Tagen
(92 Bewertungen)
6.3
Webxpert4u

Hello, I am ready to extract NDB. No, Description, Food group, UPC, and nutrition information data from https://ndb.nal.usda.gov/ndb/search/list using python/scrapy/django. LETS DISCUSS before starting the task. Mehr

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(38 Bewertungen)
6.1
flashsaiful

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6.3
sunmoon25

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$250 USD in 4 Tagen
(45 Bewertungen)
5.8
$100 USD in 2 Tagen
(30 Bewertungen)
5.9
mananraja

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5.8
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contactvidura

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titukhan13

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ferozstk

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grastko

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axiomswb

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