cost estimation of data pipeline
hello,
i am seeking assistance in building a data pipeline using firecrawl, specifically for consuming job post advertising data via the /extract endpoint. my goal is to process data from approximately 10 websites per day. for each extracted job post url, i intend to perform two primary tasks:
1. content extraction and classification:
• extract the job post content in markdown format.
• filter and classify job posts related to a specific category, such as data analysis, by analyzing the content and metadata.
• this extraction process should be able to handle applicant tracking system (ats) company urls efficiently.
2. real-time job status verification:
• determine whether each job post is still active or no longer available.
• this status check should be performed in real-time to reflect the current state of each job post.
• the status should be updated continuously, ensuring the information remains accurate and relevant.
i am particularly interested in strategies for implementing the real-time status verification mechanism, as it requires a live update approach. additionally, any insights on optimizing the extraction and classification process for data analysis-related job posts would be highly appreciated.
thank you in advance for your support and guidance.
3 Replies
@agi
at the first, ensure that the crawler can efficiently handle ATS company URLs and extract the necessary metadata (job title, company, location, etc.).
and you have to develop a content extraction module that can parse the job post HTML and convert it to Markdown format.
Also Implement a classification system that can analyze the job post content and metadata to identify posts related to the "data analysis" category.
And then you should design a mechanism to continuously monitor the status of the extracted job posts.
Leverage the Firecrawl API or other web scraping tools to periodically check the availability of each job post.
Implement a caching system to store the job post status and avoid redundant checks.
but what would be cost be
maybe 500~1000$