Scrape launch dates for SaaS products

To scrape launch dates for SaaS (Software as a Service) products, you can target product directories, launch platforms, and SaaS listing websites. Here’s how to do it:

1. Identify Target Websites

Some popular sources where SaaS products are launched or listed include:

• Product Hunt: https://www.producthunt.com
  (Launch date = Date of listing)

• BetaList: https://betalist.com

• G2 or Capterra: They sometimes list launch years.

• Startup directories: e.g., Indie Hackers, Crunchbase

2. Tools Required

Use tools like:

• Python + BeautifulSoup / Scrapy for scraping

• Selenium (for dynamic sites like Product Hunt)

• API access (Product Hunt has a GraphQL API)

3. Sample Scraper for Product Hunt Launch Dates

python
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import requests

url = "https://api.producthunt.com/v2/api/graphql"
headers = {
    "Authorization": "Bearer YOUR_PRODUCT_HUNT_API_TOKEN",
    "Content-Type": "application/json"
}
query = """
{
  posts(order: VOTES, postedAfter: "2023-01-01", first: 10) {
    edges {
      node {
        name
        tagline
        createdAt
        url
      }
    }
  }
}
"""

response = requests.post(url, json={"query": query}, headers=headers)

for edge in response.json()["data"]["posts"]["edges"]:
    product = edge["node"]
    print(f"{product['name']} - {product['createdAt']} - {product['url']}")

4. Scrapy Example for BetaList

python
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import scrapy

class BetaListSpider(scrapy.Spider):
    name = "betalist"
    start_urls = ["https://betalist.com/"]

    def parse(self, response):
        for startup in response.css(".startup"):
            yield {
                "name": startup.css("h3::text").get(),
                "url": startup.css("a::attr(href)").get(),
                "launch_date": startup.css("time::attr(datetime)").get()
            }

5. Tips for Accurate Launch Dates

• Always look for <time> or metadata tags like datetime or published_time.

• Archive.org can be used to estimate launch dates by checking the first crawl.

• GitHub repositories (for open-source SaaS) often list initial commit dates.

6. Store in a CSV or Database

Example using pandas:

python
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import pandas as pd

data = [
    {"name": "SaaS Tool", "launch_date": "2024-03-10", "url": "https://example.com"}
]

df = pd.DataFrame(data)
df.to_csv("saas_launch_dates.csv", index=False)

Would you like a full working scraper for a specific site like Product Hunt or BetaList?