[integration]: ScrapelyActorsTool
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Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 64/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Active
- Tech stack
- python
- Domain
- documentation
Research direction
Start with the existing integration docs and the linked Scrape.ly documentation at https://scrape.ly/docs/langchain; the issue does not name a docs file or test. Add documentation for the published langchain-scrapely package, covering ScrapelyActorsTool and its scraper results for agents. Done when the integration is documented in the LangChain docs with enough detail to use it.
Written by the indexing model from the issue text.
Description
Display or class name
ScrapelyActorsTool
Language
Python
Component type
tools
PyPI package name
langchain-scrapely
npm package name
No response
Docs URL
https://scrape.ly/docs/langchain
Source repository
scrapely-app/langchain-scrapely
Short provider description
Tools and a document loader that run Scrape.ly web scrapers (Google Maps, Amazon, LinkedIn and more) and return their results to agents.
Capability flags (optional)
No response
Confirmations
- The package is already published on PyPI and/or npm.
- Dominant language
- MDX
- Stars
- 444
- Forks
- 2.8k
- Avg merge
- 23h 53m
- Merged PRs (30d)
- 671
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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