How to extract the data in between 2 header tags?

I'm working on scraping the website and I want to extract the data in between the 2 headers and tag it to first tag as key-value pair.

How to extract the text under headers (like h1 and h2) ?

soup = BeautifulSoup(page.content, 'html.parser')
items = soup.select("div.conWrap")

htag_count = []
item_header = soup.find_all(re.compile('^h[1-6]'))
for item in item_header:
    htag_count.append({item.name:item.text})

print(htag_count)

This won't work if the h_ tags don't share a direct parent , but you could try looping through sibling tags after each h_ tag [and stop if the next h_ tag is reached].

# url = 'https://en.wikipedia.org/wiki/Chris_Yonge' [ for example ]
# soup = BeautifulSoup(requests.get(url).content)

# item_header = soup.find_all(re.compile('^h[1-6]')) # should be same as
item_header = soup.find_all([f'h{i}' for i in range(1,7)])

skipTags = ['script', 'style'] # any tags you don't want text from
hSections = []

for h in item_header:
    sectionLines = []

    for ns in  h.find_next_siblings():
        if ns in item_header: break # stop if/when next header is reached
        if ns.name in skipTags: continue # skip certain tags

        sectionLines.append(' '.join(ns.get_text(' ').split())) 
        # [ split+join to minimize whitespace ] 

    hSections.append({
        'header_type': h.name, 'header_text': h.get_text(' ').strip(),
        'section_text': '\n'.join([l for l in sectionLines if l])
    })    

I couldn't test this properly since you didn't include any html snippet nor a link to the site you want to scrape, but when tried on a Wikipedia page, hSections (after truncating and tabulating) looks like:

_{You can also take a look at this solution if you're interested in nesting subsection into the parent sections.}