eksiminer 0.0.1

eksiminer is a Python package for scraping entries, topics, authors, and daily highlights from eksisozluk.com

eksiminer

eksiminer is a Python package for scraping entries, topics, authors, and daily highlights from Ekşi Sözlük, one of Turkey's most popular social platforms. It provides a simple interface to extract trending topics, DEBE (Dünün En Beğenilen Entry'leri), individual entries, and user-specific content.

⚠️ This package requires a Chromium-based browser driver. Provide the path using the binary_location parameter.

---

📦 Installation

pip install eksiminer

Usage Examples

Get Gündem (Trending Topics)

from eksiminer import get_gundem

results = get_gundem(binary_location=binary_location)

print(len(results))

Returns a list of trending topic titles on Ekşi Sözlük.

Scrape Entries from a Topic

from eksiminer import EntryScraper

topic = "Ekrem İmamoğlu"

scraper = EntryScraper(topic=topic, binary_location=binary_location, max_page_limit=3, reverse=True)
entries = scraper.scrape()

print(len(entries))

Scrapes entries from a given topic. You can limit the number of pages and choose reverse chronological order.

Get DEBE List (Best of Yesterday)

from eksiminer import get_debe_list

debes = get_debe_list(binary_location=binary_location)

print(len(debes))

Returns a list of DEBE topics (most liked entries of the previous day).

Get Specific Entry from URL

from eksiminer import get_entry_from_url

url = "https://eksisozluk.com/entry/173974269"

entry = get_entry_from_url(url=url, binary_location=binary_location)

print(entry)

Fetches a specific entry given its URL.

Scrape Entries by Author

from eksiminer import AuthorScraper

author = "seven years in tibet"

scraper = AuthorScraper(author=author, click_threshold=3, binary_location=binary_location)

entries = scraper.scrape()

print(len(entries))

Scrapes entries written by a specific author. You can set how many times to click "load more" with click_threshold.

Licence

MIT License.

Contributions

Feel free to open issues or submit pull requests. Contributions are welcome!