BridgeKeeper | Scrape employee names from search engine LinkedIn profiles | Scraper library
kandi X-RAY | BridgeKeeper Summary
kandi X-RAY | BridgeKeeper Summary
Scrape employee names from search engine LinkedIn profiles. Convert employee names to a specified username format.
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Top functions reviewed by kandi - BETA
- Get names from http
- Clean the string
- Return the name of the letter
- Print the current progress
- Gather emails from Keen io io
- Transforms username according to template
- Trim delimiter
- Duplicate username with count
- Run all requests
- Gather the email format
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QUESTION
I split the dialogue into two dictionaries, each of them contains words which the person say (i have 2 persons). I have to print 4 columns (keyword, number from first directory (how many times use that word first person), number from second directory and count of them) and order by keyword. Can somebody help me ? Output have to look like this:
...ANSWER
Answered 2021-Apr-26 at 12:22There are few steps to achieve the below dataframe-
- Spilt the string based on '\n' new line char.
- initialize the result as defaultdict(list), then split each row on ':' use value at index 0 as the key and the value at index 1 as value.
- Convert the value list for each key back to a string via join.
- Remove puntuations
- Use Counter to evaluate the value of each word in the string.
Finally, we'll have a JSON like this -
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You can use BridgeKeeper like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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