imdb | R package to load the IMDB into a database

I'm really new to scrapping data and I am having trouble scrapping multiple pages. I'm trying to get the title of an episode as well as the rating for the episode.

I am only successful in getting the first page scrapped and then it won't work after that.

i've been writing wirting a program in Spring Boot Web with JPA and i'm using a query to access some data with a 'contains' and 'ignorecase' filter, i've done this before in other programs and it has worked fine, but now i'm getting this error, i'm completely lost at this point since i can't find anything in google, i went really far down the rabbit hole looking as to why it happens and so far i don't see anything out of place in my code, the type of variable declared seems to be okay but as i've said, i'm lost. It's important to mention that for some reason when I do the query on my website for the first time, everything works fine, i get the proper results and all, but when I go back to home and try with another query (or even the same) i get the error. Code below:

Model

I am trying to webscrape episode data from IMDB as well as their reviews. I want to get all the episodes and store them in a dataframe. However I am having an issue: only 1 review is being scraped per episode. When I was testing there was an instance where all the reviews were scraped but it is not working anymore. Does anyone know how I could scrape all the reviews and store it in a dataframe?

Here is the code:

I'm trying to scrape the imdb top 250 movies and I want to get all the links of those movies from this page https://www.imdb.com/chart/top/ I tried

I have dataframe like this

I want to remove the parentheses in the Movie_Name column.

Here is a few example

I have a data model like this picture below and all of them are in the same collection, but of course are different in data structure. I used the manual references in document movies and document studios. For example, like the code below:

• For document people

  { "_id": 100600, "first_name": "Becka", "last_name": "Battson", "birth_day": "2001-10-03" }

• For document movies

  { "_id": 1100, "title": "Tom and Jerry", "director_id": 100100, "release_year": 2018, "imdb": { "rating": 4.8, "votes": 100 }, "actors": [ { "person_id": 100300, "as": "Tom" }, { "person_id": 100400, "as": "Jerry" }, { "person_id": 100500, "as": "Nibbles" } ] }

• For document studios:

  { "_id": 9991000, "name": "Walt Disney", "year_founded": 1923, "movies": [ 1100, 1200 ], "headquarters": { "address": "1375 E Buena Vista Dr", "city": "New York", "state": "New York", "country": "US" } }

I have some tasks that need join between 2 documents together to get data. For example, "Indicates that the movies have the actor has the last name "Battson" . But I know that MongoDB doesn't support join documents like joining 2 tables in RDBMS.

I have tried to used this code below in MongoDB shell but it doesn't make sense. I think I need to get the values from the _id in the result query, then push them into the array array_idActor so that the second code can run:

In my code I need to build a function that's going to parse the content of a file and transform it into structures. The issue is that in that function in particular, on the first loop of the while, the resultats is going to have the right value in the array titres, but as soon as the new line is read (fgets(line, MAX_LINE_LENGTH, file)), and the value of line changes, the value inside resultats->titres changes too. I'm relatively new to C and can't figure out why as I manage to have my functions working elsewhere(see end of post). I have a feeling it's related to my limited understanding of pointers but I can't seem to figure out how to fix it !

If anyone could help me it would be greatly appreciated !

######## Code ########

structures: I didn't include it all but both structures have some getters and setters as well as a constructor and destructor

I'm trying to figure out if there's a procedural way to merge data from object A to object B without manually setting it up.

For example, I have the following pydantic model which represents results of an API call to The Movie Database: