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FINRA BrokerCheck Scraper

Try for free

Turn FINRA BrokerCheck name and CRD lookups into a bulk, disclosure-merged dataset — registration status, employment history, and disciplinary records for brokers and firms, straight from FINRA's public API.

Pricing

from $2.46 / 1,000 result row emitteds

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0.0

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DevilScrapes

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4 days ago

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Changelog — finra-brokercheck-scraper

0.1 — SHELVED-gate fix pass

Bare useApifyProxy fixed. proxyConfiguration (default + prefill in .actor/input_schema.json, default in src/models.py, and the QA fixture) now names apifyProxyGroups: ["BUYPROXIES94952"] and pins apifyProxyCountry: "US" instead of a bare {"useApifyProxy": true}, which silently resolves to a random-country DATACENTER exit (reference-bare-useapifyproxy-is-datacenter).
A whole-run zero-row outcome now SUCCEEDS, loudly. When every query answered (http_ok > 0) but no broker matched, RunStats.matched_nothing() is true and main.py sets an explicit status message telling the customer to check the CRD or the spelling. It deliberately does NOT call Actor.fail(): FINRA answered correctly, so failing would bill actor-start and then hand the customer a FAILED run for valid input — and every such run would land in publicActorRunStats30Days as our failure, the pattern that got vrbo delisted. Our own "a SUCCEEDED run with 0 rows scores 100% on every dashboard" problem is real but is a MONITORING problem, caught by deep runs and the field-fill audit, not by failing a customer's legitimate query. TransportFailureError/REQ-7 still fails loud when NOTHING answered, which is the genuine fault case. main.py catches the shared RunFailureError base.
The 0-row shipped-prefill defect investigated, not reproduced. The 2026-09-19 finding (docs/specs/finra-brokercheck-scraper/notes.md) claimed run dTWAgCsoPf6DgFkP0 (the Actor's own prefill) SUCCEEDED with 0 rows. Pulling that run's own record from /v2/actor-runs/{id} shows statusMessage: "... emitted 6 row(s).",
```
chargedEventCounts.result-emitted: 6
```
, and a 6-item dataset — it does not match the finding. A fresh local apify run against the live FINRA endpoint with the exact shipped prefill also returns 6 rows today. No code change reproduces or explains a 0-row outcome for this input; see notes.md for the full writeup.
Added regression tests: test_shipped_prefill_produces_rows_regression (drives the actual .actor/input_schema.json prefill end-to-end against recorded fixtures) and test_zero_hits_across_whole_run_raises_zero_rows_error / test_one_success_prevents_transport_failure_but_zero_rows_still_raises (assert the new guard fires, and only the new guard — not REQ-7 — for a mixed transport-fail + genuine-zero-match run).
Fixed a handful of pre-existing pyright reportOptionalMemberAccess / reportArgumentType findings in tests/test_client.py and tests/test_parser.py (missing is not None narrowing) so pyright is clean — unrelated to the three SHELVED defects but blocking the gate.

0.0 — Scaffold

Actor skeleton created (actor-scaffolder): .actor/ config (actor.json, input_schema.json, dataset_schema.json, output_schema.json, pay_per_event.json, Dockerfile), src/ entry points (__init__.py, __main__.py, main.py), README skeleton, and a boot-only placeholder dataset row.
Real FINRA BrokerCheck search/detail dispatch, disclosure merging, and dataset mapping are not implemented yet — see docs/specs/finra-brokercheck-scraper/ for the spec/design/tasks driving the remaining T02-T13 work (models.py, client.py, parser.py, scraper.py, the real main.py wiring, and the README/icon finalization).

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