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What is the best way to write a parser for social media? networks?
Tell me what is better to use to collect information in the social. networks of such a plan:
1. Search for posts mentioning the keyword + frequently used words in the context of the keyword.
2. Sort the popularity of keywords found in the context of the query.
3. Number of people mentioning the keyword or similar term.
4. Analysis of the audience, liking posts from paragraph 1 and / or writing comments on posts and / or writing comments in general using the keyword.
5. Analysis of the activity of the audience, the same reposts, likes, comments and their friends.
Are there ready-made services for such tasks?
What tools generally create such tools, parsers, analyzers, etc.?
If you are looking for a developer, how much will it cost and how to properly set a task for him?
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In my opinion, Python is the best for this. There are a lot of ready-made tools for each of the social networks.
As it was said above - Python
>> If you are looking for a developer, how much will it cost and how to properly set a task for him?
a lot is important here: how often the social network will be polled, who will host the service, whether your service needs a web muzzle or can handle it with a bare python, whether something custom is required, whether the code will remain with the performer or completely belong to you. Those. everything can easily grow from 10k to 100k-150k
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