ProductHunt-Python-Scrapy-Scraper

Python Scrapy spiders that scrapes products and launches data from producthunt.com.

Features

• Item schema for trending products and featured product launches defined using dataclass
• Item pipelines to normalize, validate and drop duplicate items.
• Download middlewares to random user agents.

Requirements

• Python 3.8+
• pip 23.3+
• Scrapy 2.11+

Usage

• Clone this repository

• Install all dependencies

pip install -e .

• To scrape featured product launches, run:

scrapy crawl featured-product-launches

• To scrape trending products, run:

scrapy crawl trending-products

Data Exploration

The scraped data is saved in jsonline format and may be found at ./data/<spider-name>/date=<scraped-date>. Where spider-name is a name of the spider e.g featured-product-launches and scraped-date is the date when the spider was runned.

Example, for featured-product-launches spider runned on 2023-10-24, then the data may be found at ./data/featured-product-launches/date=2023-10-24.

• Explore part of the data using pandas, use:

import pandas as pd

# replace the date part with your scraping date
# file = "./data/trending-products/date=2023-10-24/part-1.jsonl"
file = "./data/featured-product-launches/date=2023-10-24/part-1.jsonl"
df = pd.read_json(file, lines=True)

df.info()

• To explore all the data using pandas, use:

import glob
import pandas as pd

# replace the date part with your scraping date
# files = glob.glob("./data/trending-products/date=2023-10-24/*.jsonl")
files = glob.glob("./data/featured-product-launches/date=2023-10-24/*.jsonl")
dfs = [pd.read_json(file, lines=True) for file in files]
df = pd.concat(dfs, ignore_index=True)

df.info()

Contribute

It will be nice, if you open an issue first so that we can know what is going on, then, fork this repo and push in your ideas. Do not forget to add a bit of test(s) of what value you adding.

Questions/Contacts

lallyelias87@gmail.com, or open a GitHub issue

Schema

Launch

The featured-product-launches spider extract the following launch fields from featured product launches pages:

@dataclass
class ProductLaunchItem:
    launch_id: Optional[str] = field(default=None)
    launch_slug: Optional[str] = field(default=None)
    launch_name: Optional[str] = field(default=None)
    launch_tagline: Optional[str] = field(default=None)
    launch_description: Optional[str] = field(default=None)
    launch_url: Optional[str] = field(default=None)
    launch_votes_count: Optional[int] = field(default=None)
    launch_comments_count: Optional[int] = field(default=None)
    launch_daily_rank: Optional[int] = field(default=None)
    launch_weekly_rank: Optional[int] = field(default=None)
    launch_created_at: Optional[str] = field(default=None)
    launch_featured_at: Optional[str] = field(default=None)
    launch_updated_at: Optional[str] = field(default=None)
    launch_topics: Optional[List[str]] = field(default=None)
    product_id: Optional[str] = field(default=None)
    product_name: Optional[str] = field(default=None)
    product_url: Optional[str] = field(default=None)

Product

The trending-products spider extract the following product fields from trending product pages:

@dataclass
class ProductItem:
    product_id: Optional[str] = field(default=None)
    product_slug: Optional[str] = field(default=None)
    product_name: Optional[str] = field(default=None)
    product_tagline: Optional[str] = field(default=None)
    product_description: Optional[str] = field(default=None)
    product_url: Optional[str] = field(default=None)
    product_website_url: Optional[str] = field(default=None)
    product_rating: Optional[float] = field(default=None)
    product_followers_count: Optional[int] = field(default=None)
    product_total_votes_count: Optional[int] = field(default=None)
    product_reviewers_count: Optional[int] = field(default=None)
    product_reviews_count: Optional[int] = field(default=None)
    product_posts_count: Optional[int] = field(default=None)
    product_stacks_count: Optional[int] = field(default=None)
    product_alternatives_count: Optional[int] = field(default=None)
    product_tips_count: Optional[int] = field(default=None)
    product_addons_count: Optional[int] = field(default=None)
    product_platforms: Optional[List[str]] = field(default=None)
    product_categories: Optional[List[str]] = field(default=None)
    product_topics: Optional[List[str]] = field(default=None)

Licence

The MIT License (MIT)

Copyright (c) lykmapipo & Contributors

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.