Parsehub
ParseHub extracts data from any website without code. Your AI agent now accesses those scraping projects directly, listing active extractions and retrieving scraped datasets mid-conversation. Web data becomes instantly accessible through simple questions.
Your AI agent taps into ParseHub's project library, giving your team instant access to scraped web data and extraction status through natural language.
Parsehub
ParseHub powers your data extraction. Here is how your AI agent makes that scraped data instantly accessible to anyone through natural language queries.
A product manager asks your AI agent 'Are our competitor price scrapers still running?' The agent lists all ParseHub projects, identifies the pricing scrapers by name, and reports their last run dates and statuses. The manager confirms data freshness in one message instead of logging into ParseHub and clicking through project lists.
A new analyst joins and asks 'What web scraping projects do we have?' Your AI agent retrieves the complete ParseHub project library with descriptions and run histories, presenting a clean summary. The analyst gets oriented on available data sources in minutes rather than scheduling a walkthrough meeting with the data team.
Before compiling a weekly market report, an account manager asks the agent if the latest market data scrape completed. The agent checks the relevant ParseHub project status and confirms fresh data is ready. The manager proceeds with confidence instead of emailing the engineering team and waiting for a reply.
Parsehub
FAQs
The agent retrieves your ParseHub project list, including project names, configurations, run statuses, and metadata. It uses the Get Projects endpoint with pagination support. This gives your team visibility into all scraping operations without needing direct ParseHub dashboard access.
The current integration focuses on reading project data and statuses. The Get Projects endpoint retrieves existing project information. For triggering new runs, you would use ParseHub's run endpoints separately or configure scheduled extractions within the ParseHub interface.
The agent uses ParseHub's pagination parameters, specifically limit and offset, to efficiently browse large project libraries. It can retrieve projects in batches, search for specific scrapers by name, and present results incrementally so conversations remain fast even with hundreds of projects.
Tars requires your ParseHub API key, which you can find in your ParseHub account settings. Enter it once in the Tars dashboard. The key is encrypted and stored securely. ParseHub API keys grant read access to your projects and their extracted data.
No. Tars queries ParseHub in real time during conversations. Project information and data are fetched live and used to generate responses. No separate database of your scraped data is maintained by Tars. Only conversation summaries may reference the information.
Yes. The integration works with any ParseHub plan that provides API access, including the free tier. The number of projects and data volume available depends on your ParseHub plan limits, but the Tars connection works the same regardless of tier.
ParseHub's dashboard requires manual navigation to check project statuses and find data. Through Tars, anyone on your team can ask natural language questions like 'Is the competitor pricing scraper up to date?' and get instant answers. No ParseHub training or credentials needed for team members.
Yes. Your agent can reference ParseHub project data alongside information from other connected tools. For example, it could confirm a scraping project is current and then cross-reference the extracted data with analytics from Mixpanel or CRM records from HubSpot.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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