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Merged
anil-bd merged 1 commit into from
Oct 19, 2026
Merged

Move the coding-agents block to CLI 0.4.0 pipelines syntax #1

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4 changes: 2 additions & 2 deletions .github/workflows/live.yml
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Expand Up @@ -70,7 +70,7 @@ jobs:
- name: Install the package and the Bright Data CLI
run: |
pip install -e .
npm i -g @brightdata/cli@0.3.4 # pinned: this job holds the API secret
npm i -g @brightdata/cli@0.4.0 # pinned: this job holds the API secret

- name: Do the README's links still resolve?
run: |
Expand Down Expand Up @@ -310,7 +310,7 @@ jobs:
- name: Install the package and, for CLI blocks, the Bright Data CLI
run: |
pip install -e .
if [ "${{ matrix.lang }}" = "bash" ]; then npm i -g @brightdata/cli@0.3.4; fi
if [ "${{ matrix.lang }}" = "bash" ]; then npm i -g @brightdata/cli@0.4.0; fi
- name: Run block ${{ matrix.n }} exactly as the README shows it
env:
N: ${{ matrix.n }}
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9 changes: 6 additions & 3 deletions AGENTS.md
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Expand Up @@ -99,9 +99,12 @@ and the result labelled with the dead slug held Reid Hoffman's profile.

### The Bright Data CLI

The LinkedIn pipelines are `linkedin_person_profile`, `linkedin_company_profile`,
`linkedin_job_listings`, `linkedin_posts` and `linkedin_people_search`. There is
no `linkedin_profiles`. Run `bdata pipelines list` rather than guessing a name.
CLI 0.4.0 (12 Oct 2026) removed pipeline type names such as
`linkedin_person_profile`: `bdata pipelines <type>` now exits 1. Run a scraper
by dataset ID and method, `bdata pipelines run gd_l1viktl72bvl7bjuj0
collect_by_url <url>`. Run `bdata pipelines search linkedin` rather than
guessing an ID. The README block uses unpinned `npx`, so it always gets the
newest CLI, whatever `live.yml` pins.

## The API stalls in waves

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12 changes: 7 additions & 5 deletions README.md
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Expand Up @@ -385,13 +385,15 @@ once, or use `bdata login --device` over SSH and in CI:

```bash
npx -p @brightdata/cli bdata login
npx -p @brightdata/cli bdata pipelines linkedin_person_profile "https://www.linkedin.com/in/satyanadella/"
npx -p @brightdata/cli bdata pipelines run gd_l1viktl72bvl7bjuj0 collect_by_url "https://www.linkedin.com/in/satyanadella/"
```

`bdata pipelines list` prints every type. The LinkedIn ones are
`linkedin_person_profile`, `linkedin_company_profile`, `linkedin_job_listings`,
`linkedin_posts` and `linkedin_people_search`. Each takes URLs, prints JSON,
and costs one credit per record.
`bdata pipelines search linkedin` finds every scraper and its ID. The LinkedIn
ones are people profiles `gd_l1viktl72bvl7bjuj0`, company information
`gd_l1vikfnt1wgvvqz95w`, job listings `gd_lpfll7v5hcqtkxl6l`, posts
`gd_lyy3tktm25m4avu764` and people search `gd_m8d03he47z8nwb5xc`. Each takes
URLs with `collect_by_url`, prints JSON, and costs one credit per record.
`bdata pipelines info <id>` lists a scraper's other methods.

`npx skills add brightdata/skills` teaches Claude Code, Cursor and Codex these
commands and the docs, so plain language works afterwards. Full guide:
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