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Opts for premium proxies in scraping.
Enables JS rendering for scraping.
Sets custom headers for a scraping request.
Updates the proxy settings for scraping.
Checks the status of a scraping job.
Retrieves results of a completed scrape.
Scrapes data from specified web page.
Triggers when new data is scraped.
Triggers when a candidate declines an offer.
Triggers when a candidate accepts an offer.
Rejects a candidate for a job.
Posts a new job to the job board.
Schedules an interview with a candidate.
Creates a new task in Greenhouse.
Sends an email to a candidate.
Adds a note to a candidate's profile.
Moves an application to a different stage.
Creates a new candidate record.
Updates an existing candidate's details.
Triggers when a candidate is hired.
Triggers when a new offer is made.
Triggers when a new job is created.
Triggers when a new application is submitted.
Triggers when a new candidate is created.
Opts for premium proxies in scraping.
Enables JS rendering for scraping.
Sets custom headers for a scraping request.
Updates the proxy settings for scraping.
Checks the status of a scraping job.
Retrieves results of a completed scrape.
Scrapes data from specified web page.
Triggers when new data is scraped.
Triggers when a candidate declines an offer.
Triggers when a candidate accepts an offer.
Rejects a candidate for a job.
Posts a new job to the job board.
Schedules an interview with a candidate.
Creates a new task in Greenhouse.
Sends an email to a candidate.
Adds a note to a candidate's profile.
Moves an application to a different stage.
Creates a new candidate record.
Updates an existing candidate's details.
Triggers when a candidate is hired.
Triggers when a new offer is made.
Triggers when a new job is created.
Triggers when a new application is submitted.
Triggers when a new candidate is created.
Opts for premium proxies in scraping.
Enables JS rendering for scraping.
Sets custom headers for a scraping request.
Updates the proxy settings for scraping.
Checks the status of a scraping job.
Retrieves results of a completed scrape.
Scrapes data from specified web page.
Triggers when new data is scraped.
Triggers when a candidate declines an offer.
Triggers when a candidate accepts an offer.
Rejects a candidate for a job.
Posts a new job to the job board.
Schedules an interview with a candidate.
Creates a new task in Greenhouse.
Sends an email to a candidate.
Adds a note to a candidate's profile.
Moves an application to a different stage.
Creates a new candidate record.
Updates an existing candidate's details.
Triggers when a candidate is hired.
Triggers when a new offer is made.
Triggers when a new job is created.
Triggers when a new application is submitted.
Triggers when a new candidate is created.
Seamlessly export data to your CRM, WMS, or database directly, or choose from XLS, CSV, or XML formats for offline use.
Seamlessly export data to your CRM, WMS, or database directly, or choose from XLS, CSV, or XML formats for offline use.
Use natural language to create and run workflows that interact with all your apps and data.
Connect your apps, databases and documents to create unified workflows that automate manual tasks.
Build and use custom LLMs to write texts, post responses and execute RAG workflows within apps.
ScrapingBee simplifies web scraping with its API, handling proxies and browsers, focusing on data extraction.
Greenhouse enhances recruitment with powerful integrations, aiding HR in efficient talent acquisition and workflow optimization.
Nanonets prioritises the confidentiality and integrity of your data. As a testament to our commitment, we adhere to stringent compliance standards, including GDPR, SOC 2, and HIPAA. Privacy Policy
New ScrapingBee Data
Automate Candidate Sourcing Workflow
Enhance recruitment with Nanonets by automating candidate sourcing. AI enriches profiles from ScrapingBee, directly updating Greenhouse for efficient applicant tracking.
Enriched candidate profiles are automatically uploaded and categorized in Greenhouse for streamlined applicant tracking.
Nanonets automates synchronization between ScrapingBee and Greenhouse, providing real-time data updates for seamless business operations and data integrity.
Nanonets AI analyzes ScrapingBee data, identifies changes, and prepares updates for Greenhouse database synchronization.